L. Gładczuk

59 total papers · 590 total citations
42 papers, 506 citations indexed

About

L. Gładczuk is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, L. Gładczuk has authored 42 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 20 papers in Atomic and Molecular Physics, and Optics and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in L. Gładczuk's work include Magnetic properties of thin films (14 papers), Magnetic and transport properties of perovskites and related materials (10 papers) and Physics of Superconductivity and Magnetism (10 papers). L. Gładczuk is often cited by papers focused on Magnetic properties of thin films (14 papers), Magnetic and transport properties of perovskites and related materials (10 papers) and Physics of Superconductivity and Magnetism (10 papers). L. Gładczuk collaborates with scholars based in Poland, United States and United Kingdom. L. Gładczuk's co-authors include Marek Sosnowski, H. Szymczak, Lisa Axe, Trevor A. Tyson, M. Baran, V. Dyakonov, J. D. Demaree, S. Piechota, G. G. Levchenko and Aiqin Jiang and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Corrosion Science.

In The Last Decade

L. Gładczuk

40 papers receiving 492 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. Gładczuk 269 208 208 126 94 42 506
T. E. Konstantinova 242 0.9× 112 0.5× 133 0.6× 112 0.9× 87 0.9× 46 483
Abhishek Rai 335 1.2× 73 0.4× 177 0.9× 178 1.4× 41 0.4× 50 568
A. Dévényi 335 1.2× 134 0.6× 92 0.4× 204 1.6× 48 0.5× 55 542
Akikazu Maesono 328 1.2× 185 0.9× 48 0.2× 79 0.6× 85 0.9× 29 498
Y. Kitano 369 1.4× 41 0.2× 101 0.5× 143 1.1× 132 1.4× 41 598
Roey Shaviv 163 0.6× 80 0.4× 173 0.8× 162 1.3× 75 0.8× 34 456
D. Hodul 349 1.3× 148 0.7× 71 0.3× 309 2.5× 49 0.5× 37 565
Martin Weisheit 180 0.7× 82 0.4× 205 1.0× 177 1.4× 67 0.7× 43 550
F. G. Gandra 210 0.8× 59 0.3× 259 1.2× 46 0.4× 273 2.9× 57 523
Maxim N. Popov 378 1.4× 114 0.5× 104 0.5× 180 1.4× 12 0.1× 39 607

Countries citing papers authored by L. Gładczuk

Since Specialization
Citations

This map shows the geographic impact of L. Gładczuk'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 L. Gładczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Gładczuk more than expected).

Fields of papers citing papers by L. Gładczuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Gładczuk. 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 L. Gładczuk. The network helps show where L. Gładczuk may publish in the future.

Co-authorship network of co-authors of L. Gładczuk

This figure shows the co-authorship network connecting the top 25 collaborators of L. Gładczuk. A scholar is included among the top collaborators of L. Gładczuk 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 L. Gładczuk. L. Gładczuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026