Alexander Fedotov

91 total papers · 665 total citations
52 papers, 319 citations indexed

About

Alexander Fedotov is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Alexander Fedotov has authored 52 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mathematical Physics, 17 papers in Statistical and Nonlinear Physics and 17 papers in Computational Theory and Mathematics. Recurrent topics in Alexander Fedotov's work include Spectral Theory in Mathematical Physics (32 papers), Quantum chaos and dynamical systems (17 papers) and Matrix Theory and Algorithms (13 papers). Alexander Fedotov is often cited by papers focused on Spectral Theory in Mathematical Physics (32 papers), Quantum chaos and dynamical systems (17 papers) and Matrix Theory and Algorithms (13 papers). Alexander Fedotov collaborates with scholars based in Russia, France and Czechia. Alexander Fedotov's co-authors include Frédéric Klopp, Peter Harremoës, Flemming Topsøe, V. S. Buslaev, D. I. Borisov, Pietro Fré and V. S. Buldyrev and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Transactions of the American Mathematical Society.

In The Last Decade

Alexander Fedotov

41 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Alexander Fedotov	180	131	90	84	64	52	319
Erwin Brüning	93 0.5×	68 0.5×	101 1.1×	68 0.8×	64 1.0×	37	317
Makoto Tsukada	117 0.7×	96 0.7×	48 0.5×	95 1.1×	69 1.1×	27	356
Krzysztof Maurin	136 0.8×	80 0.6×	94 1.0×	60 0.7×	96 1.5×	18	310
Leonid Koralov	125 0.7×	62 0.5×	12 0.1×	55 0.7×	34 0.5×	31	351
Yu‐Qiu Zhao	58 0.3×	75 0.6×	71 0.8×	50 0.6×	200 3.1×	50	287
Martin Grothaus	172 1.0×	97 0.7×	27 0.3×	64 0.8×	96 1.5×	56	341
T. Constantinescu	77 0.4×	32 0.2×	27 0.3×	112 1.3×	143 2.2×	33	283
B. V. Rajarama Bhat	213 1.2×	17 0.1×	70 0.8×	50 0.6×	78 1.2×	38	340
Diego Rial	73 0.4×	65 0.5×	49 0.5×	36 0.4×	80 1.3×	38	295
Michael Demuth	281 1.6×	56 0.4×	44 0.5×	153 1.8×	127 2.0×	48	347

Countries citing papers authored by Alexander Fedotov

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Fedotov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Fedotov

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