Jan Kaczmarczyk

1.3k total citations
35 papers, 966 citations indexed

About

Jan Kaczmarczyk is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Jan Kaczmarczyk has authored 35 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Condensed Matter Physics, 17 papers in Electronic, Optical and Magnetic Materials and 9 papers in Materials Chemistry. Recurrent topics in Jan Kaczmarczyk's work include Physics of Superconductivity and Magnetism (18 papers), Iron-based superconductors research (13 papers) and Rare-earth and actinide compounds (10 papers). Jan Kaczmarczyk is often cited by papers focused on Physics of Superconductivity and Magnetism (18 papers), Iron-based superconductors research (13 papers) and Rare-earth and actinide compounds (10 papers). Jan Kaczmarczyk collaborates with scholars based in Poland, Austria and Germany. Jan Kaczmarczyk's co-authors include J. Spałek, Filip Zasada, Zbigniew Sojka, Witold Piskorz, Andrzej Kotarba, Paulina Indyka, Krzysztof Rataj, Tomasz Danel, Michał Warchoł and Łukasz Maziarka and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.

In The Last Decade

Jan Kaczmarczyk

32 papers receiving 946 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Kaczmarczyk Poland 16 440 245 240 159 145 35 966
Jørgen Villadsen Denmark 11 483 1.1× 150 0.6× 103 0.4× 158 1.0× 72 0.5× 57 999
Tomomi Shimazaki Japan 20 709 1.6× 57 0.2× 102 0.4× 423 2.7× 106 0.7× 63 1.4k
Kavita Joshi India 17 563 1.3× 92 0.4× 101 0.4× 419 2.6× 64 0.4× 62 1.0k
Guido Petretto Belgium 13 712 1.6× 50 0.2× 128 0.5× 96 0.6× 65 0.4× 29 1.0k
Nastaran Meftahi Australia 18 554 1.3× 28 0.1× 72 0.3× 111 0.7× 156 1.1× 35 1.2k
Sumanta Sarkar India 23 387 0.9× 240 1.0× 281 1.2× 49 0.3× 25 0.2× 67 1.2k
Benedict I. Ita Nigeria 23 1.0k 2.4× 46 0.2× 187 0.8× 98 0.6× 38 0.3× 69 1.4k
Christopher R. Iacovella United States 24 826 1.9× 88 0.4× 91 0.4× 234 1.5× 27 0.2× 55 1.6k
Yoshihide Watanabe Japan 20 845 1.9× 80 0.3× 98 0.4× 189 1.2× 345 2.4× 75 1.3k
С. А. Гуда Russia 15 638 1.4× 29 0.1× 94 0.4× 44 0.3× 150 1.0× 59 933

Countries citing papers authored by Jan Kaczmarczyk

Since Specialization
Citations

This map shows the geographic impact of Jan Kaczmarczyk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Kaczmarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kaczmarczyk more than expected).

Fields of papers citing papers by Jan Kaczmarczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Kaczmarczyk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Kaczmarczyk. The network helps show where Jan Kaczmarczyk may publish in the future.

Co-authorship network of co-authors of Jan Kaczmarczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kaczmarczyk. A scholar is included among the top collaborators of Jan Kaczmarczyk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Kaczmarczyk. Jan Kaczmarczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pienkowski, Victor Murcia, et al.. (2025). Computational identification of cross-reactive TCR epitopes with ARDitox. Journal of Cancer Research and Clinical Oncology. 151(12). 311–311.
2.
3.
Kaczmarczyk, Jan, et al.. (2021). AI Aided Design of Epitope-Based Vaccine for the Induction of Cellular Immune Responses Against SARS-CoV-2. Frontiers in Genetics. 12. 602196–602196. 12 indexed citations
4.
Sanecka-Duin, Anna, et al.. (2021). Off-target toxicity prediction in cellular cancer immunotherapies. Cytotherapy. 23(5). S96–S97.
5.
Maziarka, Łukasz, et al.. (2020). Mol-CycleGAN: a generative model for molecular optimization. Jagiellonian University Repository (Jagiellonian University). 166 indexed citations
6.
Shepperson, Benjamin, Lars Christiansen, Jan Kaczmarczyk, et al.. (2017). Laser-Induced Rotation of Iodine Molecules in Helium Nanodroplets: Revivals and Breaking Free. Physical Review Letters. 118(20). 203203–203203. 48 indexed citations
7.
Kaczmarczyk, Jan, et al.. (2017). Unconventional superconductivity in generalized Hubbard model: role of electron–hole symmetry breaking terms. Journal of Physics Condensed Matter. 29(8). 85604–85604. 3 indexed citations
8.
Kaczmarczyk, Jan, Filip Zasada, Janusz Janas, et al.. (2016). Thermodynamic Stability, Redox Properties, and Reactivity of Mn3O4, Fe3O4, and Co3O4 Model Catalysts for N2O Decomposition: Resolving the Origins of Steady Turnover. ACS Catalysis. 6(2). 1235–1246. 112 indexed citations
9.
Kaczmarczyk, Jan, et al.. (2016). Gutzwiller wave function for finite systems: superconductivity in the Hubbard model. Journal of Physics Condensed Matter. 28(17). 175701–175701. 2 indexed citations
10.
Kaczmarczyk, Jan, et al.. (2015). Preparation and characterization of activated carbons from biomass material – giant knotweed (Reynoutria sachalinensis). SHILAP Revista de lepidopterología. 13(1). 23 indexed citations
11.
Kaczmarczyk, Jan, et al.. (2013). Pairing by Kondo interaction and magnetic phases in the Anderson–Kondo lattice model: Statistically consistent renormalized mean‐field theory. physica status solidi (b). 250(3). 609–614. 18 indexed citations
12.
Kaczmarczyk, Jan, et al.. (2012). Magnetic and thermodynamic properties of correlated fermions - application to liquid [sup 3]He. AIP conference proceedings. 319–323. 2 indexed citations
13.
Kaczmarczyk, Jan, Mariusz Sadzikowski, & J. Spałek. (2011). Andreev reflection between a normal metal and the FFLO superconductor II: A self-consistent approach. Physica C Superconductivity. 471(5-6). 193–198. 5 indexed citations
14.
Kaczmarczyk, Jan, et al.. (2010). Unconventional Superconducting States of an Almost Localized Fermionic Liquid with Nonstandard Quasiparticles: Generalized Gutzwiller Approach. Acta Physica Polonica A. 118(2). 261–266. 3 indexed citations
15.
Kaczmarczyk, Jan & J. Spałek. (2010). Unconventional superconducting phases in a correlated two-dimensional Fermi gas of nonstandard quasiparticles: a simple model. Journal of Physics Condensed Matter. 22(35). 355702–355702. 10 indexed citations
16.
Maśka, Maciej M., Marcin Mierzejewski, Jan Kaczmarczyk, & J. Spałek. (2010). Superconducting Bardeen-Cooper-Schrieffer versus Fulde-Ferrell-Larkin-Ovchinnikov states of heavy quasiparticles with spin-dependent masses and Kondo-type pairing. Physical Review B. 82(5). 24 indexed citations
17.
18.
Kaczmarczyk, Jan & J. Spałek. (2007). Cooper Pair with Nonzero Momentum in System with Spin Dependent Mass of Quasiparticles. Acta Physica Polonica A. 111(4). 595–602. 2 indexed citations
19.
Kaczmarczyk, Jan, et al.. (2006). Cooper Pair in Two Nonstandard Situations. Acta Physica Polonica A. 109(4-5). 541–548. 1 indexed citations
20.
Perrin, A., Alain Celzard, A. Albiniak, et al.. (2004). NaOH activation of anthracites: effect of temperature on pore textures and methane storage ability. Carbon. 42(14). 2855–2866. 81 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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