Maksim Ulybyshev

78 total papers · 999 total citations
40 papers, 621 citations indexed

About

Maksim Ulybyshev is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Maksim Ulybyshev has authored 40 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 23 papers in Materials Chemistry and 16 papers in Condensed Matter Physics. Recurrent topics in Maksim Ulybyshev's work include Graphene research and applications (19 papers), Quantum and electron transport phenomena (15 papers) and Topological Materials and Phenomena (11 papers). Maksim Ulybyshev is often cited by papers focused on Graphene research and applications (19 papers), Quantum and electron transport phenomena (15 papers) and Topological Materials and Phenomena (11 papers). Maksim Ulybyshev collaborates with scholars based in Russia, Germany and France. Maksim Ulybyshev's co-authors include P. V. Buividovich, M. I. Katsnelson, M. I. Polikarpov, Lorenz von Smekal, Dominik Smith, V. V. Braguta, Savvas Zafeiropoulos, Denis Boyda, Philipp Gubler and Ralf-Arno Tripolt and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

Maksim Ulybyshev

39 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Maksim Ulybyshev 398 253 199 164 54 40 621
S. Teber 310 0.8× 160 0.6× 132 0.7× 187 1.1× 80 1.5× 38 585
P. O. Sukhachov 562 1.4× 309 1.2× 134 0.7× 85 0.5× 16 0.3× 46 655
Lida Zhang 405 1.0× 220 0.9× 160 0.8× 82 0.5× 45 0.8× 31 581
K. I. Golden 655 1.6× 139 0.5× 214 1.1× 69 0.4× 88 1.6× 62 793
Shunji Matsuura 387 1.0× 78 0.3× 121 0.6× 254 1.5× 112 2.1× 23 672
Yu-An Chen 383 1.0× 165 0.7× 179 0.9× 40 0.2× 32 0.6× 45 652
Wang Kelin 427 1.1× 203 0.8× 102 0.5× 85 0.5× 237 4.4× 55 776
Jean-Pierre Provost 539 1.4× 87 0.3× 127 0.6× 52 0.3× 195 3.6× 29 725
Shenglong Xu 557 1.4× 119 0.5× 265 1.3× 31 0.2× 131 2.4× 35 755
В.Г. Соловьев 292 0.7× 82 0.3× 80 0.4× 506 3.1× 57 1.1× 37 662

Countries citing papers authored by Maksim Ulybyshev

Since Specialization
Citations

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

Fields of papers citing papers by Maksim Ulybyshev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksim Ulybyshev

This figure shows the co-authorship network connecting the top 25 collaborators of Maksim Ulybyshev. A scholar is included among the top collaborators of Maksim Ulybyshev 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 Maksim Ulybyshev. Maksim Ulybyshev 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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