Fedor Šimkovic

694 total citations
21 papers, 430 citations indexed

About

Fedor Šimkovic 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, Fedor Šimkovic has authored 21 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Condensed Matter Physics, 17 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Fedor Šimkovic's work include Physics of Superconductivity and Magnetism (18 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers) and Advanced Condensed Matter Physics (7 papers). Fedor Šimkovic is often cited by papers focused on Physics of Superconductivity and Magnetism (18 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers) and Advanced Condensed Matter Physics (7 papers). Fedor Šimkovic collaborates with scholars based in France, United Kingdom and United States. Fedor Šimkovic's co-authors include Evgeny Kozik, Michel Ferrero, Riccardo Rossi, Aaram J. Kim, Youjin Deng, Antoine Georges, Fabienne Michelini, Adeline Crépieux, Thomas Schäfer and P. Hansmann and has published in prestigious journals such as Science, Physical Review Letters and Physical Review B.

In The Last Decade

Fedor Šimkovic

21 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fedor Šimkovic France 12 333 296 113 42 25 21 430
Natanael C. Costa Brazil 12 270 0.8× 224 0.8× 118 1.0× 61 1.5× 18 0.7× 34 371
Kota Ido Japan 9 233 0.7× 175 0.6× 113 1.0× 29 0.7× 13 0.5× 17 319
Shintaro Takayoshi Japan 14 371 1.1× 502 1.7× 93 0.8× 49 1.2× 54 2.2× 31 616
Sumiran Pujari India 12 275 0.8× 247 0.8× 62 0.5× 34 0.8× 13 0.5× 23 378
Matthias Gohlke Germany 9 396 1.2× 253 0.9× 191 1.7× 38 0.9× 47 1.9× 15 479
Arti Garg India 12 327 1.0× 312 1.1× 141 1.2× 96 2.3× 31 1.2× 26 485
Peizhi Mai United States 12 257 0.8× 219 0.7× 106 0.9× 49 1.2× 8 0.3× 24 336
Wojciech Brzezicki Poland 16 423 1.3× 380 1.3× 209 1.8× 103 2.5× 25 1.0× 47 591
Asier Ozaeta Spain 7 244 0.7× 229 0.8× 109 1.0× 49 1.2× 22 0.9× 9 322
Chung‐Hou Chung Taiwan 13 411 1.2× 417 1.4× 117 1.0× 74 1.8× 77 3.1× 40 599

Countries citing papers authored by Fedor Šimkovic

Since Specialization
Citations

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

Fields of papers citing papers by Fedor Šimkovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fedor Šimkovic

This figure shows the co-authorship network connecting the top 25 collaborators of Fedor Šimkovic. A scholar is included among the top collaborators of Fedor Šimkovic 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 Fedor Šimkovic. Fedor Šimkovic 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.
Agarwal, Abhishek, et al.. (2025). Anderson impurity solver integrating tensor network methods with quantum computing. SPIRE - Sciences Po Institutional REpository. 2(1). 2 indexed citations
2.
Šimkovic, Fedor, et al.. (2025). Magnetic Phase Diagram of the Three-Dimensional Doped Hubbard Model. Physical Review Letters. 134(6). 66502–66502. 2 indexed citations
3.
Šimkovic, Fedor, et al.. (2025). Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved Bias with Reduced Quantum Resources. Journal of Chemical Theory and Computation. 21(5). 2256–2271. 5 indexed citations
4.
Rossi, Riccardo, Fedor Šimkovic, Michel Ferrero, et al.. (2024). Interaction-enhanced nesting in spin-fermion and Fermi-Hubbard models. Physical Review Research. 6(3). 1 indexed citations
5.
Šimkovic, Fedor, Riccardo Rossi, Antoine Georges, & Michel Ferrero. (2024). Origin and fate of the pseudogap in the doped Hubbard model. Science. 385(6715). eade9194–eade9194. 17 indexed citations
6.
Šimkovic, Fedor, Riccardo Rossi, Gabriele La Spada, et al.. (2024). Symmetry-Broken Perturbation Theory to Large Orders in Antiferromagnetic Phases. Physical Review Letters. 132(24). 246505–246505. 5 indexed citations
7.
Šimkovic, Fedor, Riccardo Rossi, & Michel Ferrero. (2022). Two-dimensional Hubbard model at finite temperature: Weak, strong, and long correlation regimes. Physical Review Research. 4(4). 26 indexed citations
8.
Šimkovic, Fedor & Michel Ferrero. (2022). Fast principal minor algorithms for diagrammatic Monte Carlo. Physical review. B.. 105(12). 6 indexed citations
9.
Kim, Aaram J., et al.. (2021). Entropy in the Non-Fermi-Liquid Regime of the Doped 2D Hubbard Model. Physical Review Letters. 126(10). 105701–105701. 11 indexed citations
10.
11.
Šimkovic, Fedor, Youjin Deng, & Evgeny Kozik. (2021). Superfluid ground state phase diagram of the two-dimensional Hubbard model in the emergent Bardeen-Cooper-Schrieffer regime. Physical review. B.. 104(2). 8 indexed citations
12.
Wietek, Alexander, Riccardo Rossi, Fedor Šimkovic, et al.. (2021). Mott Insulating States with Competing Orders in the Triangular Lattice Hubbard Model. Physical Review X. 11(4). 74 indexed citations
13.
Klett, Marcel, Nils Wentzell, Thomas Schäfer, et al.. (2020). Real-space cluster dynamical mean-field theory: Center-focused extrapolation on the one- and two particle-levels. Physical Review Research. 2(3). 18 indexed citations
14.
Kim, Aaram J., Fedor Šimkovic, & Evgeny Kozik. (2020). Spin and Charge Correlations across the Metal-to-Insulator Crossover in the Half-Filled 2D Hubbard Model. Physical Review Letters. 124(11). 117602–117602. 38 indexed citations
15.
Rossi, Riccardo, Fedor Šimkovic, & Michel Ferrero. (2020). Renormalized perturbation theory at large expansion orders. Europhysics Letters (EPL). 132(1). 11001–11001. 19 indexed citations
16.
Šimkovic, Fedor, Riccardo Rossi, & Michel Ferrero. (2020). Efficient one-loop-renormalized vertex expansions with connected determinant diagrammatic Monte Carlo. Physical review. B.. 102(19). 7 indexed citations
17.
Šimkovic, Fedor & Evgeny Kozik. (2019). Determinant Monte Carlo for irreducible Feynman diagrams in the strongly correlated regime. Physical review. B.. 100(12). 43 indexed citations
18.
Šimkovic, Fedor, Youjin Deng, Nikolay Prokof’ev, et al.. (2017). Magnetic correlations in the two-dimensional repulsive Fermi-Hubbard model. Physical review. B.. 96(8). 13 indexed citations
19.
Šimkovic, Fedor, et al.. (2016). Ground-state phase diagram of the repulsive fermionict−t′Hubbard model on the square lattice from weak coupling. Physical review. B.. 94(8). 18 indexed citations
20.
Crépieux, Adeline, et al.. (2011). Enhanced thermopower under a time-dependent gate voltage. Physical Review B. 83(15). 48 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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