Maksim Ulybyshev

1.0k total citations
40 papers, 626 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 626 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, Ralf-Arno Tripolt and Philipp Gubler 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 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maksim Ulybyshev Russia 12 400 254 199 163 53 40 626
Hassan Shapourian United States 15 797 2.0× 262 1.0× 258 1.3× 65 0.4× 60 1.1× 36 874
P. O. Sukhachov United States 15 581 1.5× 312 1.2× 141 0.7× 85 0.5× 16 0.3× 47 676
Lida Zhang China 12 407 1.0× 220 0.9× 160 0.8× 82 0.5× 45 0.8× 31 583
E. C. Marino Brazil 17 646 1.6× 261 1.0× 334 1.7× 284 1.7× 143 2.7× 92 966
Flavio S. Nogueira Germany 15 736 1.8× 292 1.1× 659 3.3× 121 0.7× 54 1.0× 61 992
Vatsal Dwivedi Germany 10 386 1.0× 78 0.3× 94 0.5× 84 0.5× 128 2.4× 18 484
Nick Bultinck Belgium 16 987 2.5× 633 2.5× 289 1.5× 49 0.3× 42 0.8× 35 1.1k
K. Shizuya Japan 16 363 0.9× 229 0.9× 84 0.4× 527 3.2× 79 1.5× 67 860
K. Nelissen Belgium 11 177 0.4× 129 0.5× 129 0.6× 44 0.3× 62 1.2× 24 344
Jaakko Nissinen Finland 13 364 0.9× 96 0.4× 160 0.8× 145 0.9× 91 1.7× 26 527

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

20 of 20 papers shown
1.
Huang, Cheng, Maksim Ulybyshev, Xu Zhang, et al.. (2025). Angle-tuned Gross-Neveu quantum criticality in twisted bilayer graphene. Nature Communications. 16(1). 7176–7176. 3 indexed citations
2.
Yudhistira, Indra, Udvas Chattopadhyay, Maksim Ulybyshev, et al.. (2024). Spectral functions of lattice fermions on the honeycomb lattice with Hubbard and long-range Coulomb interactions. Physical review. B.. 110(15). 2 indexed citations
3.
Ulybyshev, Maksim, et al.. (2023). Instanton gas approach to the Hubbard model. Physical review. B.. 107(4). 2 indexed citations
4.
Assaad, Fakher F., et al.. (2023). Validity of SLAC fermions for the (1+1)-dimensional helical Luttinger liquid. Physical review. B.. 108(4). 9 indexed citations
5.
Ulybyshev, Maksim, et al.. (2020). Lefschetz thimbles decomposition for the Hubbard model on the hexagonal lattice. Physical review. D. 101(1). 28 indexed citations
6.
Ulybyshev, Maksim, et al.. (2018). Direct detection of metal-insulator phase transitions using the modified Backus-Gilbert method. Springer Link (Chiba Institute of Technology). 8 indexed citations
7.
Tripolt, Ralf-Arno, Philipp Gubler, Maksim Ulybyshev, & Lorenz von Smekal. (2018). Numerical analytic continuation of Euclidean data. Computer Physics Communications. 237. 129–142. 57 indexed citations
8.
Astrakhantsev, Nikita, V. V. Braguta, M. I. Katsnelson, А. А. Николаев, & Maksim Ulybyshev. (2018). Quantum Monte Carlo study of electrostatic potential in graphene. Physical review. B.. 97(3). 7 indexed citations
9.
Niemi, Antti J., et al.. (2018). Multiple scales and phases in discrete chains with application to folded proteins. Physical review. E. 97(5). 52107–52107. 2 indexed citations
10.
Ulybyshev, Maksim, et al.. (2018). Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions. Computer Physics Communications. 236. 118–127. 11 indexed citations
11.
Stauber, Tobias, Prakash Parida, Maxim Trushin, et al.. (2017). Interacting Electrons in Graphene: Fermi Velocity Renormalization and Optical Response. Physical Review Letters. 118(26). 266801–266801. 53 indexed citations
12.
Ulybyshev, Maksim, et al.. (2017). Collective charge excitations and the metal-insulator transition in the square lattice Hubbard-Coulomb model. Physical review. B.. 96(20). 15 indexed citations
13.
Niemi, Antti J., et al.. (2015). Phase diagram and the pseudogap state in a linear chiral homopolymer model. Physical Review E. 92(3). 32602–32602. 7 indexed citations
14.
Ulybyshev, Maksim & M. I. Katsnelson. (2015). Magnetism and Interaction-Induced Gap Opening in Graphene with Vacancies or Hydrogen Adatoms: Quantum Monte Carlo Study. Physical Review Letters. 114(24). 246801–246801. 29 indexed citations
15.
Ulybyshev, Maksim, P. V. Buividovich, M. I. Katsnelson, & M. I. Polikarpov. (2013). Monte Carlo Study of the Semimetal-Insulator Phase Transition in Monolayer Graphene with a Realistic Interelectron Interaction Potential. Physical Review Letters. 111(5). 56801–56801. 122 indexed citations
16.
Ulybyshev, Maksim & M. A. Zubkov. (2013). Green functions in graphene monolayer with Coulomb interactions taken into account. Solid State Communications. 159. 55–59. 2 indexed citations
17.
Braguta, V. V., M. N. Chernodub, Karl Landsteiner, M. I. Polikarpov, & Maksim Ulybyshev. (2013). Numerical evidence of the axial magnetic effect. Physical review. D. Particles, fields, gravitation, and cosmology. 88(7). 34 indexed citations
18.
Buividovich, P. V., et al.. (2012). Numerical study of the conductivity of graphene monolayer within the effective field theory approach. Physical Review B. 86(4). 27 indexed citations
19.
Ulybyshev, Maksim, et al.. (2010). Casimir energy calculations for Chern-Simons surfaces and dielectric plates within the formalism of lattice quantum field theory. Physics of Particles and Nuclei Letters. 7(5). 345–348.
20.
Ulybyshev, Maksim, et al.. (2010). Casimir energy in noncompact lattice electrodynamics. Theoretical and Mathematical Physics. 164(2). 1051–1063. 9 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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