310322 | 2024 | V3-C | CH | Impakt faktor: 3.4 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Mat\u00fa\u0161 Mol\u010dan (20%) <\/a>Michal Raj\u0148\u00e1k (15%) <\/a>Rafal Bielas (20%) <\/a>Arkadiusz Jozefczak (10%) <\/a>Tomasz Kubiak (20%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 311248 | 2024 | V3-C | NL | Impakt faktor: 4 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (40%) <\/a>K. Paulovi\u010dov\u00e1 (15%) <\/a>Juraj Kurimsk\u00fd (40%) <\/a>Milo\u0161 \u0160\u00e1rpataky (5%) <\/a>0<\/a><\/p>\n\n\n\n 310742 | 2024 | V3-C | NL | Impakt faktor: 2.7 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Roman Cimbala (10%) <\/a>Juraj Kurimsk\u00fd (15%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 311547 | 2024 | V3-C | GB | Impakt faktor: 7.8 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Zsolt \u010conka (75%) <\/a>Aamer Bilal Asghar (5%) <\/a>Muhammad Yaqoob Javed (5%) <\/a>Khazina Naveed (3%) <\/a>Ali Nasir (3%) <\/a>… <\/a>8<\/a><\/p>\n\n\n\n 311949 | 2024 | V3-C | CH | Impakt faktor: 2.7 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Matej Bere\u0161 (25%) <\/a>Marek Pavl\u00edk (70%) <\/a>Franti\u0161ek Kurimsky (5%) <\/a>1<\/a><\/p>\n\n\n\n 310980 | 2024 | V3-C | CH | Impakt faktor: 2.7 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection Matej Bere\u0161 (25%) <\/a>Marek Pavl\u00edk (25%) <\/a>\u013dubom\u00edr Be\u0148a (50%) <\/a>3<\/a><\/p>\n\n\n\n 311896 | 2024 | V3-C | NL | Impakt faktor: 6 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (15%) <\/a>Bystr\u00edk Doln\u00edk (30%) <\/a>K. Paulovi\u010dov\u00e1 (2%) <\/a>Roman Cimbala (30%) <\/a>Juraj Kurimsk\u00fd (3%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 310659 | 2024 | V3-C | NL | Impakt faktor: 2.7 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Mat\u00fa\u0161 Mihalik (10%) <\/a>Robert Pelka (20%) <\/a>Karol Szalowski (10%) <\/a>Wojciech Sas (10%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 310258 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection D\u00e1vid Martinko (10%) <\/a>Mari\u00e1n Toma\u0161ov (30%) <\/a>Milan Straka (20%) <\/a>Peter Bracin\u00edk (20%) <\/a>\u013dubo\u0161 Buzna (20%) <\/a>0<\/a><\/p>\n\n\n\n 311825 | 2023 | I3-C | HU | Impakt faktor: 1.7 | Scopus: Q2 | Datab\u00e1zy: DOI Zsolt \u010conka (100%) <\/a>0<\/a><\/p>\n\n\n\n 308533 | 2023 | V3-C | GB | Impakt faktor: 2.8 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek \u010ce\u0161kovi\u010d (20%) <\/a>Vladim\u00edr Kme\u0165 (5%) <\/a>Samuel Bucko (20%) <\/a>Dobroslava Buj\u0148\u00e1kov\u00e1 (30%) <\/a>L\u00edvia Karahutov\u00e1 (25%) <\/a>2<\/a><\/p>\n\n\n\n 307639 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Zsolt \u010conka (75%) <\/a>Inga Zicmane (3%) <\/a>Saidjon Shiralievich Tavarov (5%) <\/a>Alexander Sidorov (5%) <\/a>Murodbek Safaraliev (3%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 310367 | 2023 | V3-C | NL | Impakt faktor: 2.7 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Mat\u00fa\u0161 Mol\u010dan (8%) <\/a>Michal Raj\u0148\u00e1k (7%) <\/a>Jana T\u00f3thov\u00e1 (25%) <\/a>Rafal Bielas (5%) <\/a>Arkadiusz Jozefczak (5%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 310763 | 2023 | V3-C | HU | Impakt faktor: 1.7 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Du\u0161an Medve\u010f (75%) <\/a>\u013dubom\u00edr Be\u0148a (20%) <\/a>Rikin Jitendrakumar Tailor (5%) <\/a>4<\/a><\/p>\n\n\n\n 306828 | 2023 | V3-C | CH | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (85%) <\/a>Muhammad Mateen Afzal Awan (5%) <\/a>Aamer Bilal Asghar (5%) <\/a>Muhammad Yaqoob Javed (5%) <\/a>28<\/a><\/p>\n\n\n\n 307292 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Marek Pavl\u00edk (90%) <\/a>Zsolt \u010conka (3%) <\/a>Michal Kolcun (2%) <\/a>Du\u0161an Medve\u010f (3%) <\/a>\u013dubom\u00edr Be\u0148a (2%) <\/a>8<\/a><\/p>\n\n\n\n 310342 | 2023 | V3-C | NL | Impakt faktor: 4 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (85%) <\/a>Aamer Bilal Asghar (4%) <\/a>Muhammad Faisal Shehzad (5%) <\/a>Mujtaba Hussain Jaffery (3%) <\/a>Khazina Naveed (3%) <\/a>1<\/a><\/p>\n\n\n\n 310319 | 2023 | V3-C | CH | Impakt faktor: 3.7 | Scopus: Q2 | Datab\u00e1zy: DOI sign UPJS Web of Science Core Collection SCOPUS Marek Pavl\u00edk (5%) <\/a>Roman Cimbala (5%) <\/a>Juraj Kurimsk\u00fd (10%) <\/a>Igor Majl\u00e1th (10%) <\/a>Vikt\u00f3ria Majl\u00e1thov\u00e1 (20%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 310318 | 2023 | V3-C | CH | Impakt faktor: 2.2 | Scopus: Q2 | Datab\u00e1zy: DOI sign UPJS SCOPUS Current Content Connect Web of Science Core Collection Marek Pavl\u00edk (5%) <\/a>Roman Cimbala (5%) <\/a>Juraj Kurimsk\u00fd (10%) <\/a>Igor Majl\u00e1th (20%) <\/a>Vikt\u00f3ria Majl\u00e1thov\u00e1 (20%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 307638 | 2023 | V3-C | NL | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Zsolt \u010conka (90%) <\/a>Illia Diahovchenko (5%) <\/a>Anastasiia Chuprun (5%) <\/a>2<\/a><\/p>\n\n\n\n 310606 | 2023 | V3-C | HU | Impakt faktor: 1.7 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Zsolt \u010conka (82%) <\/a>Michal Kolcun (5%) <\/a>Illia Diahovchenko (5%) <\/a>Ihor Yevtushenko (2%) <\/a>Tetiana Zahorodnia (3%) <\/a>… <\/a>9<\/a><\/p>\n\n\n\n 307459 | 2023 | V3-C | NL | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Bystr\u00edk Doln\u00edk (80%) <\/a>\u013dubo\u0161 \u0160\u00e1rpataky (20%) <\/a>2<\/a><\/p>\n\n\n\n 308111 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Michal Kolcun (10%) <\/a>Du\u0161an Medve\u010f (80%) <\/a>Olexandr Shavolkin (5%) <\/a>Iryna Shvedchykova (5%) <\/a>3<\/a><\/p>\n\n\n\n 311205 | 2023 | V3-C | HU | Impakt faktor: 1.7 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (5%) <\/a>Bystr\u00edk Doln\u00edk (10%) <\/a>K. Paulovi\u010dov\u00e1 (5%) <\/a>Roman Cimbala (40%) <\/a>Juraj Kurimsk\u00fd (5%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 308033 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Du\u0161an Medve\u010f (30%) <\/a>\u013dubom\u00edr Be\u0148a (30%) <\/a>Maksym Oliinyk (3%) <\/a>Jaroslav D\u017emura (30%) <\/a>D\u00e1vid Martinko (5%) <\/a>… <\/a>4<\/a><\/p>\n\n\n\n 307627 | 2023 | V3-C | NL | Impakt faktor: 6 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Michal Raj\u0148\u00e1k (25%) <\/a>Roman Cimbala (25%) <\/a>Juraj Kurimsk\u00fd (50%) <\/a>2<\/a><\/p>\n\n\n\n 308038 | 2023 | V3-C | US | Impakt faktor: 4.4 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Milan Timko (5%) <\/a>Peter Kop\u010dansky (8%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Bystr\u00edk Doln\u00edk (30%) <\/a>Roman Cimbala (8%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 309303 | 2023 | V3-C | NL | Impakt faktor: 6.4 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Bystr\u00edk Doln\u00edk (5%) <\/a>Roman Cimbala (35%) <\/a>Juraj Kurimsk\u00fd (15%) <\/a>Du\u0161an Medve\u010f (5%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 311578 | 2023 | V3-C | HU | Impakt faktor: 1.7 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Marek Pavl\u00edk (30%) <\/a>J\u00e1n Zbojovsk\u00fd (60%) <\/a>Roman Cimbala (4%) <\/a>Juraj Kurimsk\u00fd (5%) <\/a>Iraida Kolcunov\u00e1 (1%) <\/a>3<\/a><\/p>\n\n\n\n 311185 | 2023 | V3-C | NL | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Bystr\u00edk Doln\u00edk (75%) <\/a>Marek Pavl\u00edk (5%) <\/a>R\u00f3bert \u0160tefko (5%) <\/a>\u013dubo\u0161 \u0160\u00e1rpataky (10%) <\/a>Samuel Bucko (5%) <\/a>4<\/a><\/p>\n\n\n\n 307274 | 2023 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (30%) <\/a>Juraj Kurimsk\u00fd (30%) <\/a>Michal Krbal (5%) <\/a>Milo\u0161 \u0160\u00e1rpataky (30%) <\/a>Marek Adam\u010d\u00e1k (5%) <\/a>4<\/a><\/p>\n\n\n\n 308860 | 2023 | V3-C | CH | Impakt faktor: 2.4 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek Pavl\u00edk (22%) <\/a>J\u00e1n Zbojovsk\u00fd (22%) <\/a>Jaroslav Petr\u00e1\u0161 (22%) <\/a>Ardian Hyseni (31%) <\/a>Jozef Dudiak (3%) <\/a>2<\/a><\/p>\n\n\n\n 309962 | 2023 | V3-C | CH | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection Tibor Vince (21%) <\/a>Matej Bere\u0161 (37%) <\/a>Irena Kov\u00e1\u010dov\u00e1 (5%) <\/a>Dobroslav Kov\u00e1\u010d (5%) <\/a>J\u00e1n Moln\u00e1r (5%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 306588 | 2022 | V3-C | CH | Impakt faktor: 3.5 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Michal Raj\u0148\u00e1k (15%) <\/a>Bystr\u00edk Doln\u00edk (5%) <\/a>Roman Cimbala (30%) <\/a>Juraj Kurimsk\u00fd (5%) <\/a>Peter Havran (30%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 303539 | 2022 | V3-C | HR | Impakt faktor: 0.6 | WOS_AIS: Q4 | WOS_JIF: Q4 | Datab\u00e1zy: DOI Web of Science Core Collection Erika Doln\u00edkov\u00e1 (70%) <\/a>Bystr\u00edk Doln\u00edk (30%) <\/a>0<\/a><\/p>\n\n\n\n 303567 | 2022 | V3-C | CH | Impakt faktor: 1.7 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q3 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (45%) <\/a>Jose Fernando Morais Lopes Mariano (5%) <\/a>Violeta N. Nikoli\u0107 (45%) <\/a>Nenad Dj. Lazarov (5%) <\/a>0<\/a><\/p>\n\n\n\n 303134 | 2022 | V3-C | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (10%) <\/a>Michal Kolcun (10%) <\/a>\u013dubom\u00edr Be\u0148a (70%) <\/a>Daniel P\u00e1l (10%) <\/a>3<\/a><\/p>\n\n\n\n 306606 | 2022 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek Pavl\u00edk (10%) <\/a>Michal Kolcun (10%) <\/a>Du\u0161an Medve\u010f (70%) <\/a>\u013dubom\u00edr Be\u0148a (10%) <\/a>3<\/a><\/p>\n\n\n\n 305710 | 2022 | V3-C | US | Impakt faktor: 4.1 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI sign UPJS SCOPUS Current Content Connect Web of Science Core Collection Milan Timko (7%) <\/a>Peter Kop\u010dansky (7%) <\/a>Michal Raj\u0148\u00e1k (24%) <\/a>Bystr\u00edk Doln\u00edk (7%) <\/a>Vladim\u00edr Girman (5%) <\/a>… <\/a>5<\/a><\/p>\n\n\n\n 303174 | 2022 | V3-C | HU | Impakt faktor: 1.4 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Zsolt \u010conka (85%) <\/a>Judith P\u00e1lfi (5%) <\/a>P\u00e9ter Holcsik (5%) <\/a>Bence Istv\u00e1n Kocsis (5%) <\/a>4<\/a><\/p>\n\n\n\n 306792 | 2022 | V3-C | CH | Impakt faktor: 3.2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek Pavl\u00edk (45%) <\/a>Zsolt \u010conka (25%) <\/a>\u013dubom\u00edr Be\u0148a (10%) <\/a>Judith P\u00e1lfi (5%) <\/a>P\u00e9ter Holcsik (5%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 303414 | 2022 | V3-C | NL | Impakt faktor: 1.9 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (3%) <\/a>Marek Pavl\u00edk (40%) <\/a>J\u00e1n Zbojovsk\u00fd (40%) <\/a>Roman Cimbala (4%) <\/a>Juraj Kurimsk\u00fd (3%) <\/a>… <\/a>4<\/a><\/p>\n\n\n\n 303349 | 2022 | V3-C | DE | Impakt faktor: 1.6 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (70%) <\/a>Martin Kan\u00e1lik (10%) <\/a>Juraj Kurimsk\u00fd (5%) <\/a>Illia Diahovchenko (15%) <\/a>6<\/a><\/p>\n\n\n\n 303393 | 2022 | V3-C | CH | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Du\u0161an Katunsk\u00fd (35%) <\/a>Erika Doln\u00edkov\u00e1 (35%) <\/a>Bystr\u00edk Doln\u00edk (15%) <\/a>Katar\u00edna Krajn\u00edkov\u00e1 (15%) <\/a>1<\/a><\/p>\n\n\n\n 304484 | 2022 | V3-C | NL | Impakt faktor: 3.3 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (40%) <\/a>Illia Diahovchenko (40%) <\/a>Robert G. Olsen (5%) <\/a>Viacheslav Zalotov (5%) <\/a>Anastasiia Chuprun (5%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 304162 | 2022 | V3-C | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Kolcun (30%) <\/a>Du\u0161an Medve\u010f (60%) <\/a>Olexandr Shavolkin (5%) <\/a>Iryna Shvedchykova (5%) <\/a>11<\/a><\/p>\n\n\n\n 307648 | 2022 | V3-C | NL | Impakt faktor: 4 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Michal Kolcun (85%) <\/a>Illia Diahovchenko (5%) <\/a>Lubov Petrichenko (5%) <\/a>Ihor Borzenkov (5%) <\/a>19<\/a><\/p>\n\n\n\n 308433 | 2022 | V3-C | CH | Impakt faktor: 5.3 | Scopus: Q1 | Datab\u00e1zy: DOI sign UPJS Web of Science Core Collection Current Content Connect SCOPUS Juraj Kurimsk\u00fd (10%) <\/a>Jaroslav Briancin (5%) <\/a>Erika Dutkov\u00e1 (10%) <\/a>Michal Heged\u00fcs (10%) <\/a>Marcela Achimovi\u010dov\u00e1 (50%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 303269 | 2022 | V3-C | PL | Impakt faktor: 0.4 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Marek Pavl\u00edk (50%) <\/a>J\u00e1n Zbojovsk\u00fd (50%) <\/a>3<\/a><\/p>\n\n\n\n 304003 | 2022 | V3-C | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (35%) <\/a>Viktor I. Petrenko (5%) <\/a>Igor V. Gapon (5%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 303635 | 2022 | V3-C | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Michal Raj\u0148\u00e1k (15%) <\/a>Bystr\u00edk Doln\u00edk (5%) <\/a>Roman Cimbala (20%) <\/a>Juraj Kurimsk\u00fd (15%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (5%) <\/a>… <\/a>13<\/a><\/p>\n\n\n\n 302865 | 2022 | V3-C | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (10%) <\/a>Roman Cimbala (25%) <\/a>Juraj Kurimsk\u00fd (20%) <\/a>Du\u0161an Medve\u010f (10%) <\/a>Iraida Kolcunov\u00e1 (5%) <\/a>… <\/a>24<\/a><\/p>\n\n\n\n 303532 | 2022 | V3-C | GB | Impakt faktor: 3.1 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (32%) <\/a>Bystr\u00edk Doln\u00edk (8%) <\/a>Roman Cimbala (8%) <\/a>… <\/a>7<\/a><\/p>\n\n\n\n 304138 | 2022 | V3-C | CH | Impakt faktor: 3.2 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI KIS Web of Science Core Collection SCOPUS Current Content Connect J\u00e1n Zbojovsk\u00fd (5%) <\/a>Roman Cimbala (10%) <\/a>Juraj Kurimsk\u00fd (20%) <\/a>Piotr Tryjanowski (1%) <\/a>Igor Majl\u00e1th (25%) <\/a>… <\/a>5<\/a><\/p>\n\n\n\n 302973 | 2022 | V3-C | DE | Impakt faktor: 1.6 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek Pavl\u00edk (20%) <\/a>Michal Kolcun (10%) <\/a>Martin Kan\u00e1lik (10%) <\/a>Du\u0161an Medve\u010f (10%) <\/a>Maksym Oliinyk (10%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 307273 | 2022 | V3-C | NL | Impakt faktor: 6 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (25%) <\/a>Juraj Kurimsk\u00fd (30%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (10%) <\/a>Ludek Pelikan (5%) <\/a>Michal Krbal (5%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 303348 | 2022 | V3-C | CH | Impakt faktor: 3.4 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (45%) <\/a>Iraida Kolcunov\u00e1 (5%) <\/a>Peter Havran (5%) <\/a>\u013dubo\u0161 \u0160\u00e1rpataky (45%) <\/a>2<\/a><\/p>\n\n\n\n 307101 | 2022 | V3-C | CH | Impakt faktor: 3.9 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (50%) <\/a>J\u00e1n Zbojovsk\u00fd (5%) <\/a>\u013dubo\u0161 \u0160\u00e1rpataky (30%) <\/a>Uwe Schichler (5%) <\/a>Oliver Pischler (5%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 303270 | 2022 | V3-C | PL | Impakt faktor: 0.4 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection J\u00e1n Zbojovsk\u00fd (80%) <\/a>Milo\u0161 \u0160\u00e1rpataky (10%) <\/a>\u013dubo\u0161 \u0160\u00e1rpataky (10%) <\/a>2<\/a><\/p>\n\n\n\n 301058 | 2021 | ADM | DE | Impakt faktor: 1.5 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q3 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Juraj Kov\u00e1\u010d (20%) <\/a>Pavol Liptai (30%) <\/a>Bystr\u00edk Doln\u00edk (10%) <\/a>Miriama Pi\u0148osov\u00e1 (40%) <\/a>0<\/a><\/p>\n\n\n\n 226679 | 2021 | ADC | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Anast\u00e1zia Margitov\u00e1 (30%) <\/a>Martin Kan\u00e1lik (5%) <\/a>\u013dubom\u00edr Be\u0148a (5%) <\/a>Andrea Kan\u00e1likov\u00e1 (60%) <\/a>8<\/a><\/p>\n\n\n\n 303266 | 2021 | V3-C | PL | Impakt faktor: 0.4 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Marek Pavl\u00edk (50%) <\/a>Du\u0161an Medve\u010f (50%) <\/a>0<\/a><\/p>\n\n\n\n 300077 | 2021 | ADC | PL | Impakt faktor: 1.3 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q3 | Datab\u00e1zy: DOI sign UPJS KIS SCOPUS MEDLINE\u00ae Current Content Connect Web of Science Core Collection Roman Cimbala (6%) <\/a>Juraj Kurimsk\u00fd (6%) <\/a>Gabriela I\u017ear\u00edkov\u00e1 (6%) <\/a>Jozef \u017div\u010d\u00e1k (6%) <\/a>Piotr Tryjanowski (10%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 232244 | 2021 | ADC | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (60%) <\/a>Michal Kolcun (10%) <\/a>\u013dubom\u00edr Be\u0148a (10%) <\/a>Rikin Tailor (20%) <\/a>2<\/a><\/p>\n\n\n\n 232242 | 2021 | ADC | CH | Impakt faktor: 3.3 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (75%) <\/a>Michal Kolcun (10%) <\/a>Buta Singh (4%) <\/a>Narinder Singh (3%) <\/a>Zoltan Simenfalvi (3%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 232239 | 2021 | ADC | CH | Impakt faktor: 3.3 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (70%) <\/a>Michal Kolcun (10%) <\/a>Zsolt Peter (3%) <\/a>Zoltan Szamosi (4%) <\/a>Laszlo Berenyi (3%) <\/a>… <\/a>11<\/a><\/p>\n\n\n\n 302391 | 2021 | V3-C | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Marek Pavl\u00edk (5%) <\/a>Du\u0161an Medve\u010f (80%) <\/a>Mari\u00e1n Me\u0161ter (5%) <\/a>\u013dubom\u00edr Be\u0148a (5%) <\/a>Michal Kolcun (5%) <\/a>7<\/a><\/p>\n\n\n\n 228845 | 2021 | ADC | CH | Impakt faktor: 3.3 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Du\u0161an Katunsk\u00fd (45%) <\/a>Erika Doln\u00edkov\u00e1 (45%) <\/a>Bystr\u00edk Doln\u00edk (5%) <\/a>Zuzana Mi\u0148ov\u00e1 (5%) <\/a>2<\/a><\/p>\n\n\n\n 303267 | 2021 | V3-C | PL | Impakt faktor: 0.4 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection J\u00e1n Zbojovsk\u00fd (50%) <\/a>Du\u0161an Medve\u010f (50%) <\/a>4<\/a><\/p>\n\n\n\n 222723 | 2021 | ADC | | Impakt faktor: 1.6 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Current Content Connect Alexander M\u00e9sz\u00e1ros (14%) <\/a>Jakub Urbansk\u00fd (14%) <\/a>Anast\u00e1zia Margitov\u00e1 (14%) <\/a>Michal Kolcun (14%) <\/a>Martin Kan\u00e1lik (14%) <\/a>… <\/a>15<\/a><\/p>\n\n\n\n 230347 | 2021 | ADC | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Roman Cimbala (20%) <\/a>Juraj Kurimsk\u00fd (30%) <\/a>… <\/a>15<\/a><\/p>\n\n\n\n 232736 | 2021 | ADC | US | Impakt faktor: 4.1 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Bystr\u00edk Doln\u00edk (30%) <\/a>Roman Cimbala (20%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 230329 | 2021 | ADC | CH | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (40%) <\/a>Michal Kolcun (20%) <\/a>R\u00f3bert \u0160tefko (40%) <\/a>4<\/a><\/p>\n\n\n\n 301420 | 2021 | ADC | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (40%) <\/a>Zsolt \u010conka (5%) <\/a>Juraj Kurimsk\u00fd (45%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (5%) <\/a>Milo\u0161 \u0160\u00e1rpataky (5%) <\/a>12<\/a><\/p>\n\n\n\n 303026 | 2021 | V3-C | CH | Impakt faktor: 4.4 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (33%) <\/a>Juraj Kurimsk\u00fd (33%) <\/a>Milo\u0161 \u0160\u00e1rpataky (34%) <\/a>27<\/a><\/p>\n\n\n\n 230944 | 2021 | ADC | US | Impakt faktor: 8.5 | WOS_AIS: Q1 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect Web of Science Core Collection SCOPUS Milan Timko (5%) <\/a>Peter Kop\u010dansky (10%) <\/a>Michal Raj\u0148\u00e1k (10%) <\/a>Viktor I. Petrenko (5%) <\/a>Mikhail V. Avdeev (5%) <\/a>… <\/a>29<\/a><\/p>\n\n\n\n 226779 | 2021 | ADC | GB | Impakt faktor: 3.1 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (20%) <\/a>Bystr\u00edk Doln\u00edk (30%) <\/a>Roman Cimbala (20%) <\/a>… <\/a>4<\/a><\/p>\n\n\n\n 301520 | 2021 | ADM | RO | Impakt faktor: 2.1 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q2 | Datab\u00e1zy: Web of Science Core Collection SCOPUS Martina Kubov\u010d\u00edkov\u00e1 (5%) <\/a>Michal Raj\u0148\u00e1k (6%) <\/a>Jozef K\u00fadel\u010d\u00edk (42%) <\/a>\u0160tefan Hardo\u0148 (47%) <\/a>2<\/a><\/p>\n\n\n\n 231892 | 2021 | ADC | GB | Impakt faktor: 4.9 | WOS_AIS: Q1 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (10%) <\/a>Michal Raj\u0148\u00e1k (20%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (5%) <\/a>Ivo \u0160afa\u0159\u00edk (20%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 300352 | 2021 | ADC | CH | Impakt faktor: 5.8 | WOS_AIS: Q1 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Vitaliy Antal (5%) <\/a>Petra Hajdov\u00e1 (35%) <\/a>Pavel Diko (30%) <\/a>Monika Radu\u0161ovsk\u00e1 (5%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 225640 | 2021 | ADC | GB | Impakt faktor: 5 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (15%) <\/a>Marek Pavl\u00edk (4%) <\/a>J\u00e1n Zbojovsk\u00fd (1%) <\/a>Anast\u00e1zia Margitov\u00e1 (30%) <\/a>Martin Kan\u00e1lik (45%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 230947 | 2021 | ADC | NL | Impakt faktor: 4.5 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (8%) <\/a>Peter Bal\u00e1\u017e (5%) <\/a>Erika Dutkov\u00e1 (5%) <\/a>Matej Bal\u00e1\u017e (40%) <\/a>Matej Te\u0161insk\u00fd (10%) <\/a>… <\/a>11<\/a><\/p>\n\n\n\n 230946 | 2021 | ADC | NL | Impakt faktor: 6.2 | WOS_AIS: Q1 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (5%) <\/a>Peter Bal\u00e1\u017e (5%) <\/a>Matej Bal\u00e1\u017e (30%) <\/a>Radovan Bure\u0161 (5%) <\/a>Rashid Nadirov (15%) <\/a>… <\/a>27<\/a><\/p>\n\n\n\n 216083 | 2020 | ADN | SK | Impakt faktor: 0.6 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q3 | Datab\u00e1zy: DOI Web of Science Core Collection SCOPUS J\u00e1n Zbojovsk\u00fd (25%) <\/a>Samuel Bucko (50%) <\/a>J\u00e1n Labun (20%) <\/a>Anna \u010cuvalov\u00e1 (1%) <\/a>Dobroslava Buj\u0148\u00e1kovov\u00e1 (2%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 221331 | 2020 | ADM | MY | Impakt faktor: 0.8 | WOS_AIS: Q4 | WOS_JIF: Q3 | Scopus: Q3 | Datab\u00e1zy: DOI SIGN-PU KIS SCOPUS Web of Science Core Collection Jaroslav D\u017emura (13%) <\/a>Jaroslav Petr\u00e1\u0161 (12%) <\/a>J\u00e1n Pavlovkin (13%) <\/a>\u013dubom\u00edr \u017d\u00e1\u010dok (13%) <\/a>Ren\u00e1ta Bern\u00e1tov\u00e1 (12%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 221291 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (6%) <\/a>J\u00e1n Zbojovsk\u00fd (6%) <\/a>Roman Cimbala (6%) <\/a>Juraj Kurimsk\u00fd (6%) <\/a>Iraida Kolcunov\u00e1 (6%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 220179 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Petra Hajdov\u00e1 (35%) <\/a>Pavel Diko (25%) <\/a>J\u00e1n Dusza (10%) <\/a>Erika M\u00fadra (10%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 220275 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (21%) <\/a>Bystr\u00edk Doln\u00edk (5%) <\/a>J\u00e1n Zbojovsk\u00fd (5%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 225748 | 2020 | ADM | UA | Impakt faktor: 0.6 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q3 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (10%) <\/a>Leonid A. Bulavin (5%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 209198 | 2020 | ADC | NL | Impakt faktor: 2.6 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Tom\u00e1\u0161 Havl\u00edk (25%) <\/a>Pavol Liptai (25%) <\/a>Bystr\u00edk Doln\u00edk (25%) <\/a>Jaroslav Briancin (25%) <\/a>1<\/a><\/p>\n\n\n\n 220180 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (10%) <\/a>Zuzana Mitr\u00f3ov\u00e1 (50%) <\/a>Zuzana Dankov\u00e1 (10%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 300048 | 2020 | ADM | PL | Impakt faktor: 0.4 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Martin Fabi\u00e1n (16%) <\/a>Bystr\u00edk Doln\u00edk (20%) <\/a>Roman Cimbala (8%) <\/a>Juraj Kurimsk\u00fd (8%) <\/a>Jaroslav Briancin (20%) <\/a>… <\/a>0<\/a><\/p>\n\n\n\n 230410 | 2020 | ADC | CH | Impakt faktor: 4.4 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI sign UPJS Current Content Connect SCOPUS Web of Science Core Collection Vladim\u00edr Girman (20%) <\/a>Juraj Kurimsk\u00fd (20%) <\/a>Jaroslav Briancin (10%) <\/a>Erika Dutkov\u00e1 (5%) <\/a>Matej Bal\u00e1\u017e (20%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 220181 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (10%) <\/a>Peter Kop\u010dansky (10%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Bystr\u00edk Doln\u00edk (10%) <\/a>Roman Cimbala (10%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 220295 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Roman Cimbala (10%) <\/a>Juraj Kurimsk\u00fd (30%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 219197 | 2020 | ADC | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Zsolt \u010conka (4%) <\/a>Roman Cimbala (10%) <\/a>… <\/a>19<\/a><\/p>\n\n\n\n 230359 | 2020 | ADC | NL | Impakt faktor: 3.1 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI sign UPJS KIS SCOPUS Web of Science Core Collection Current Content Connect Zsolt \u010conka (10%) <\/a>Roman Cimbala (16%) <\/a>Juraj Kurimsk\u00fd (16%) <\/a>Lukasz Jankowiak (1%) <\/a>Piotr Tryjanowski (1%) <\/a>… <\/a>12<\/a><\/p>\n\n\n\n 217004 | 2020 | ADM | HU | Impakt faktor: 1.4 | WOS_AIS: Q3 | WOS_JIF: Q2 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Zsolt \u010conka (45%) <\/a>Michal Kolcun (45%) <\/a>Anna Gawlak (5%) <\/a>Miroslaw Kornatka (5%) <\/a>11<\/a><\/p>\n\n\n\n 220843 | 2020 | ADM | CH | Impakt faktor: 1.5 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Web of Science Core Collection Zsolt \u010conka (55%) <\/a>Michal Kolcun (30%) <\/a>Illia Diahovchenko (5%) <\/a>Roman Mykhailyshyn (5%) <\/a>Volodymyr Savkiv (5%) <\/a>44<\/a><\/p>\n\n\n\n 217003 | 2020 | ADC | CH | Impakt faktor: 3 | WOS_AIS: Q3 | WOS_JIF: Q3 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Zsolt \u010conka (35%) <\/a>Michal Kolcun (35%) <\/a>Mihai Avornicului (5%) <\/a>Judith P\u00e1lfi (5%) <\/a>P\u00e9ter Holcsik (5%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 221231 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (5%) <\/a>J\u00e1n Zbojovsk\u00fd (5%) <\/a>Zsolt \u010conka (25%) <\/a>Roman Cimbala (5%) <\/a>Juraj Kurimsk\u00fd (5%) <\/a>… <\/a>1<\/a><\/p>\n\n\n\n 217279 | 2020 | ADC | NL | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI SCOPUS Current Content Connect Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Roman Cimbala (10%) <\/a>Juraj Kurimsk\u00fd (30%) <\/a>… <\/a>12<\/a><\/p>\n\n\n\n 217270 | 2020 | ADC | NL | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (4%) <\/a>Peter Kop\u010dansky (4%) <\/a>Michal Raj\u0148\u00e1k (30%) <\/a>Roman Cimbala (10%) <\/a>Juraj Kurimsk\u00fd (51%) <\/a>… <\/a>28<\/a><\/p>\n\n\n\n 221258 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (10%) <\/a>Jana T\u00f3thov\u00e1 (30%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (30%) <\/a>… <\/a>13<\/a><\/p>\n\n\n\n 221252 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI sign UPJS Current Content Connect SCOPUS Web of Science Core Collection Bystr\u00edk Doln\u00edk (4%) <\/a>Marek Pavl\u00edk (11%) <\/a>J\u00e1n Zbojovsk\u00fd (25%) <\/a>Roman Cimbala (5%) <\/a>Juraj Kurimsk\u00fd (10%) <\/a>… <\/a>11<\/a><\/p>\n\n\n\n 230948 | 2020 | ADM | UA | Impakt faktor: 0.6 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q3 | Datab\u00e1zy: DOI Web of Science Core Collection SCOPUS Milan Timko (10%) <\/a>Peter Kop\u010dansky (10%) <\/a>Michal Raj\u0148\u00e1k (20%) <\/a>Ivo \u0160afa\u0159\u00edk (20%) <\/a>Jitka Prochazkova (10%) <\/a>… <\/a>6<\/a><\/p>\n\n\n\n 217528 | 2020 | ADC | | Impakt faktor: 3.7 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: Current Content Connect SCOPUS Web of Science Core Collection DOI Michal Raj\u0148\u00e1k (5%) <\/a>Vitaliy Antal (20%) <\/a>Liudmila Vojtkov\u00e1 (5%) <\/a>Pavel Diko (50%) <\/a>Katar\u00edna Zmorayova (10%) <\/a>… <\/a>18<\/a><\/p>\n\n\n\n 221204 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (15%) <\/a>Jaroslav Briancin (5%) <\/a>Peter Bal\u00e1\u017e (30%) <\/a>Erika Dutkov\u00e1 (10%) <\/a>Michal Heged\u00fcs (5%) <\/a>… <\/a>2<\/a><\/p>\n\n\n\n 216345 | 2020 | ADC | NL | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (%) <\/a>Peter Kop\u010dansky (%) <\/a>Michal Raj\u0148\u00e1k (15%) <\/a>Jozef K\u00fadel\u010d\u00edk (10%) <\/a>\u0160tefan Hardo\u0148 (5%) <\/a>… <\/a>5<\/a><\/p>\n\n\n\n 216352 | 2020 | ADC | | Impakt faktor: 4.2 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (5%) <\/a>Peter Bal\u00e1\u017e (2%) <\/a>Nina Daneu (8%) <\/a>Matej Bal\u00e1\u017e (40%) <\/a>Matej Te\u0161insk\u00fd (20%) <\/a>… <\/a>9<\/a><\/p>\n\n\n\n 226777 | 2020 | ADC | NL | Impakt faktor: 5.3 | WOS_AIS: Q2 | WOS_JIF: Q1 | Scopus: Q1 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (20%) <\/a>Katar\u00edna Paulovi\u010dov\u00e1 (20%) <\/a>Tomasz Hornowski (20%) <\/a>Rafal Bielas (20%) <\/a>Arkadiusz Jozefczak (20%) <\/a>16<\/a><\/p>\n\n\n\n 220131 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Bystr\u00edk Doln\u00edk (55%) <\/a>J\u00e1n Zbojovsk\u00fd (2%) <\/a>Jakub Urbansk\u00fd (2%) <\/a>Roman Cimbala (5%) <\/a>… <\/a>3<\/a><\/p>\n\n\n\n 221208 | 2020 | ADC | PL | Impakt faktor: 0.5 | WOS_AIS: Q4 | WOS_JIF: Q4 | Scopus: Q4 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Michal Raj\u0148\u00e1k (10%) <\/a>Matej Bal\u00e1\u017e (75%) <\/a>Zh. Shalabayev (10%) <\/a>Anton Zubrik (5%) <\/a>1<\/a><\/p>\n\n\n\n 216347 | 2020 | ADC | | Impakt faktor: 3.7 | WOS_AIS: Q2 | WOS_JIF: Q2 | Scopus: Q1 | Datab\u00e1zy: Current Content Connect SCOPUS Web of Science Core Collection DOI Michal Raj\u0148\u00e1k (20%) <\/a>Petra Hajdov\u00e1 (30%) <\/a>Pavel Diko (40%) <\/a>Katar\u00edna Zmorayova (10%) <\/a>3<\/a><\/p>\n\n\n\n 216346 | 2020 | ADC | NL | Impakt faktor: 2.5 | WOS_AIS: Q2 | WOS_JIF: Q3 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content Connect SCOPUS Web of Science Core Collection Milan Timko (5%) <\/a>Peter Kop\u010dansky (5%) <\/a>Michal Raj\u0148\u00e1k (25%) <\/a>Jose Fernando Morais Lopes Mariano (25%) <\/a>Joao P. Lourenco (5%) <\/a>… <\/a>6<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Biocompatible Hydrogel-Based Liquid Marbles with Magnetosomes 310322 | 2024 | V3-C | CH | Impakt faktor: 3.4 | Scopus: Q2 | Datab\u00e1zy: DOI Current Content…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2350"}],"collection":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2350"}],"version-history":[{"count":3,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2350\/revisions"}],"predecessor-version":[{"id":2356,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2350\/revisions\/2356"}],"wp:attachment":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Electric partial discharges in biodegradable oil-based ferrofluids: a study on effects of magnetic field and nanoparticle concentration<\/h4>\n\n\n\n
Comparison of physical properties of ferrofluids based on mineral transformer oil and bio-degradable gas-to-liquid oil<\/h4>\n\n\n\n
Improving the efficiency of photovoltaic-thermoelectric generator system using novel flying squirrel search optimization algorithm: Hybrid renewable and thermal energy system (RTES) for electricity generation<\/h4>\n\n\n\n
Analyzing the Impact of Volatile Electricity Prices on Solar Energy Capture Rates in Central Europe: A Comparative Study<\/h4>\n\n\n\n
The influence of various commonly used building materials on the shielding effectiveness, reflection and absorption of the electromagnetic wave<\/h4>\n\n\n\n
Dielectric relaxation spectroscopy of hybrid insulating nanofluids in time, distribution, and frequency domain<\/h4>\n\n\n\n
Low-temperature magnetocaloric effect of the polyoxovanadate molecular magnet {viv\/v12as8}: an experimental study<\/h4>\n\n\n\n
A Feasibility Study of Profiting from System Imbalance Using Residential Electric Vehicle Charging Infrastructure<\/h4>\n\n\n\n
Preface<\/h6>\n\n\n\n
The effect of exposure to non-ionising radiofrequency field on Escherichia coli, Klebsiella oxytoca and Pseudomonas aeruginosa biofilms<\/h4>\n\n\n\n
Control of operational modes of an urban distribution grid under conditions of uncertainty<\/h4>\n\n\n\n
Magnetorheological characterization of oil-in-oil magnetic pickering emulsions<\/h4>\n\n\n\n
Energy Storage System Utilization, in a Distribution Power System<\/h4>\n\n\n\n
Ordering technique for the maximum power point tracking of an islanded solar photovoltaic system<\/h4>\n\n\n\n
Analysis and evaluation of photovoltaic cell defects and their impact on electricity generation<\/h4>\n\n\n\n
Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations<\/h4>\n\n\n\n
Effects of Electromagnetic Radiation on Neuropeptide Transcript Levels in the Synganglion of Ixodes ricinus<\/h4>\n\n\n\n
Interspecific differences in the behavioral response of ticks exposed to radiofrequency electromagnetic radiation<\/h4>\n\n\n\n
Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers<\/h4>\n\n\n\n
Demand-Supply Balancing in Energy Systems with High Photovoltaic Penetration, using Flexibility of Nuclear Power Plants<\/h4>\n\n\n\n
Assessing the impact of long-term operation, pollution and housing damage on the medium voltage surge arresters using non-destructive diagnostic techniques<\/h4>\n\n\n\n
Improvement of a hybrid solar-wind system for self-consumption of a local object with control of the power consumed from the grid<\/h4>\n\n\n\n
Dielectric Relaxation Spectroscopy of Modern Hybrid Insulation Systems<\/h4>\n\n\n\n
Assessing the effects of smart parking infrastructure on the electrical power system<\/h4>\n\n\n\n
Pulse induced failures in bi-axially oriented polypropylene capacitors: experimental investigation<\/h4>\n\n\n\n
Dielectric spectrum of a ferrofluid layer exposed to a gradient magnetic field<\/h4>\n\n\n\n
Dielectric relaxation response of electrical insulating liquids under different natures of thermal stress<\/h4>\n\n\n\n
Investigation of Shielding Materials, for the Purpose of Shielding Electromagnetic Fields<\/h4>\n\n\n\n
Assessing contamination severity of high voltage insulators using dielectric loss factor: Laboratory measurements and comparative analysis of leakage current and dielectric loss factor at different voltage levels, humidity, and insulating materials<\/h4>\n\n\n\n
Dielectric Performance of Natural- and Synthetic-Ester-Based Nanofluids with Fullerene Nanoparticles<\/h4>\n\n\n\n
Benford\u2019s Law in Electric Distribution Network<\/h4>\n\n\n\n
Efficiency optimization in multi-branch converters through dynamic control<\/h4>\n\n\n\n
Frequency-dependent dielectric spectroscopy of insulating nanofluids based on GTL oil during accelerated thermal aging<\/h4>\n\n\n\n
Comparison of different roof types in terms of lighting conditions in an industrial hall<\/h4>\n\n\n\n
Magnetic Hysteresis Loops Revisited: Step Closer to Understand the Role of Exterior Angles<\/h4>\n\n\n\n
Optimization of active power losses in smart grids using photovoltaic power plants<\/h4>\n\n\n\n
Influence of impurities in electrical contacts on increasing the efficiency of energy transmission<\/h4>\n\n\n\n
Dielectric and thermal performance of a C60-based nanofluid and a C60-loaded ferrofluid<\/h4>\n\n\n\n
Fault point location method, based on harmonics analysis of a distribution system<\/h4>\n\n\n\n
Wind turbine power control according to EU legislation<\/h4>\n\n\n\n
Accumulation of spatial charge on the surface of protecting coatings used against the penetration of high frequency electromagnetic fields<\/h4>\n\n\n\n
Contemporary electric energy meters testing under simulated nonsinusoidal field conditions<\/h4>\n\n\n\n
Influence of Light Reflection from the Wall and Ceiling Due to Color Changes in the Indoor Environment of the Selected Hall<\/h4>\n\n\n\n
Development of effective shielding against electricity meters tampering with strong magnetic fields<\/h4>\n\n\n\n
Improvement of the grid-tied solar-wind system with a storage battery for the self-consumption of a local object<\/h4>\n\n\n\n
Application of photovoltaic panels in electric vehicles to enhance the range<\/h4>\n\n\n\n
Mechanochemical Synthesis of Nickel Mono- and Diselenide: Characterization and Electrical and Optical Properties<\/h4>\n\n\n\n
Determination of effect of photovoltaic cells defect on electricity produce by use mathematical model<\/h4>\n\n\n\n
Electric field-induced assembly of magnetic nanoparticles from dielectric ferrofluids on planar interface<\/h4>\n\n\n\n
Dielectric response of a hybrid nanofluid containing fullerene C-60 and iron oxide nanoparticles<\/h4>\n\n\n\n
Dielectric properties of electrical insulating liquids for high voltage electric devices in a time-varying electric field<\/h4>\n\n\n\n
Effect of ferrofluid magnetization on transformer temperature rise<\/h4>\n\n\n\n
Locomotor activity of Ixodes ricinus females in 900 MHz electromagnetic field<\/h4>\n\n\n\n
Impact of electric vehicles and demand management systems on electrical distribution networks<\/h4>\n\n\n\n
Synthetic and natural ester-based nanofluids with fullerene and magnetite nanoparticles \u2013 An experimental AC breakdown voltage study<\/h4>\n\n\n\n
Sensing method using multiple quantities for diagnostic of insulators in different ambient conditions<\/h4>\n\n\n\n
Sensing method using dielectric loss factor to evaluate surface conditions on polluted porcelain insulator<\/h4>\n\n\n\n
Shielding effectiveness of concrete in dependence of his electric properties<\/h4>\n\n\n\n
Design and construction of a scanning stand for the PU mini-acoustic sensor<\/h4>\n\n\n\n
Power System Impedance Estimation Using a Fast Voltage and Current Changes Measurements<\/h4>\n\n\n\n
Measuring shielding effectiveness of electromagnetic field for degradation shielding paint<\/h4>\n\n\n\n
Morphometric analysis – effect of the radiofrequency interface of electromagnetic field on the size of hatched Dermacentor reticulatus larvae<\/h4>\n\n\n\n
Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development<\/h4>\n\n\n\n
Critical Analysis of Methods Adopted for Evaluation of Mixing Efficiency in an Anaerobic Digester<\/h4>\n\n\n\n
Trendline Assessment of Solar Energy Potential in Hungary and Current Scenario of Renewable Energy in the Visegr\u00e1d Countries for Future Sustainability<\/h4>\n\n\n\n
Analysis of Prosumer Behavior in the Electrical Network<\/h4>\n\n\n\n
Influence of the Adaptation of Balconies to Loggias on the Lighting Climate inside an Apartment Building under Cloudy Sky<\/h4>\n\n\n\n
Influence of the position of the electrical contact on the size of the temperature distribution<\/h4>\n\n\n\n
Calculation of the overhead transmission line conductor temperature in real operating conditions<\/h4>\n\n\n\n
Electrical discharges in ferrofluids based on mineral oil and novel gas-to-liquid oil<\/h4>\n\n\n\n
Dynamic magnetic response of ferrofluids under a static electric field<\/h4>\n\n\n\n
Case Study of Power Plants in the Slovak Republic and Construction of Microgrid and Smart Grid<\/h4>\n\n\n\n
Electrical and acoustic investigation of partial discharges in two types of nanofluids<\/h4>\n\n\n\n
Dielectric fluids for power transformers with special emphasis on biodegradable nanofluids<\/h4>\n\n\n\n
Cotton Textile\/Iron Oxide Nanozyme Composites with Peroxidase-like Activity: Preparation, Characterization, and Application<\/h4>\n\n\n\n
Controllability of ferrofluids‘ dielectric spectrum by means of external electric forces<\/h4>\n\n\n\n
Study of structural changes in biocompatible fluid by the acoustic spectroscopy<\/h4>\n\n\n\n
Scalable production of magnetic fluorescent cellulose microparticles<\/h4>\n\n\n\n
The influence of CeO2 addition on microstructure and superconducting properties of GdBCO-Ag single grain bulk superconductors<\/h4>\n\n\n\n
Analysis of low-frequency oscillations of electrical quantities during a real black-start test in Slovakia<\/h4>\n\n\n\n
Scalable and environmentally friendly mechanochemical synthesis of nanocrystalline rhodostannite (Cu2FeSn3S8)<\/h4>\n\n\n\n
Selective room-temperature leaching of copper from mechanically activated copper smelter slag<\/h4>\n\n\n\n
Modulation of Staphylococcus Aureus Biofilm by Elecromagnetic Radiation<\/h4>\n\n\n\n
The effectiveness of interactive whiteboard using NIESVE System for electrical engineering students<\/h4>\n\n\n\n
Application of Magnetic Materials in Inductive Sensors for Partial Discharge Activity Monitoring<\/h4>\n\n\n\n
Effect of TiO2 Fibers on Properties of Single-Grain Bulk GdBCO Superconductors<\/h4>\n\n\n\n
Breakdown Driven by Magnetic Field in Gradually Aged Ferrofluid<\/h4>\n\n\n\n
Small-angle neutron scattering study of transformer oil-based ferrofluids<\/h4>\n\n\n\n
Hydrometallurgical Recycling of Electric Arc Furnace Dust Application Possibilities of ZnO Product for the Manufacture of Varistors in the Electrotechnical Industry<\/h4>\n\n\n\n
Synthesis and Magnetic Properties of Hydrophilic and Hydrophobic Hybrid Nanocomposite<\/h4>\n\n\n\n
Environmental Pollution Monitoring by Thin Metal Electrodes Prepared by Physical Vapor Deposition<\/h4>\n\n\n\n
Comparative Study of Nanostructured CuSe Semiconductor Synthesized in a Planetary and Vibratory Mill<\/h4>\n\n\n\n
Small Angle X-ray Scattering Study of Magnetic Nanofluid Exposed to an Electric Field<\/h4>\n\n\n\n
Effect of DC Voltage Ramp Rate on Breakdown in Ferrofluid Based on Transformer Oil<\/h4>\n\n\n\n
Statistical analysis of AC dielectric breakdown in transformer oil-based magnetic nanofluids<\/h4>\n\n\n\n
Infected Ixodes ricinus ticks are attracted by electromagnetic radiation of 900 MHz<\/h4>\n\n\n\n
Active and Reactive Power Losses in Distribution Transformers<\/h4>\n\n\n\n
Progress and Challenges in Smart Grids: Distributed Generation, Smart Metering, Energy Storage and Smart Loads<\/h4>\n\n\n\n
Management of Smart Switchboard Placement to Enhance Distribution System Reliability<\/h4>\n\n\n\n
Electromagnetically Coupled Charging for Monitoring Devices near 110 kV High-Voltage Transmission Line<\/h4>\n\n\n\n
Effect of electrical polarity on dielectric breakdown in a soft magnetic fluid<\/h4>\n\n\n\n
Effect of magnetic nanoparticles on partial discharges in transformer oil<\/h4>\n\n\n\n
Nanofluid Based on New Generation Transformer Oil: Synthesis and Flow Properties<\/h4>\n\n\n\n
Shielding Effectiveness of Electromagnetic Field by Specially Developed Shielding Coating<\/h4>\n\n\n\n
Modification of Diamagnetic Materials Using Magnetic Fluids<\/h4>\n\n\n\n
Relationship between local microstructure and superconducting properties of commercial YBa2Cu3O7-delta bulk<\/h4>\n\n\n\n
Magnetization as an Effective Tool for Kinetics Evaluation in Mechanochemical Synthesis of Chalcopyrite CuFeS2<\/h4>\n\n\n\n
Investigation of structural changes in oil-based magnetic fluids by surface acoustic waves<\/h4>\n\n\n\n
Synthesis of copper nanoparticles from refractory sulfides using a semi-industrial mechanochemical approach<\/h4>\n\n\n\n
The effect of magnetic particles covering the droplets on the heating rate of Pickering emulsions in the AC magnetic field<\/h4>\n\n\n\n
Radio Frequency Response of Magnetic Nanoparticle-Doped Yarn<\/h4>\n\n\n\n
Detection of Iron Wear in Mechanochemistry Using Magnetometry<\/h4>\n\n\n\n
Inhomogeneity of SmBCO bulk superconductors grown in air<\/h4>\n\n\n\n
Structural and magnetic properties of P25 TiO2 nanoparticles doped by Co<\/h4>\n\n\n\n