Fedor Tsarev

928 citations
16 papers · 129 · h-index 6

Impact in

Papers in

Fedor Tsarev

14 papers receiving 117 citations

Peers

Fedor Tsarev
Comparison fields: 5 of 52
  • Software 26
  • Computational Theory and Mathematics 42
  • Artificial Intelligence 61
  • Industrial and Manufacturing Engineering 15
  • Hardware and Architecture 9
Replace Guillaume Gardey with:
Guillaume Gardey France
Alexander Nadel Israel
Jacob Illum Rasmussen Denmark
Nima Roohi United States
Andreas Bauer Germany
Markus Dahlweid Germany
Mateusz Ujma United Kingdom
Udi Boker Israel
Anubhav Gupta United States
João Costa Seco Portugal
Fedor Tsarev relative to Guillaume Gardey France Guillaume Gardey's profile →
Citations per field
00.5×4.7×
Guillaume Gardey · 1×
Citations per year

Countries citing papers authored by Fedor Tsarev

Since Specialization
Citations

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

Fields of papers citing papers by Fedor Tsarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Fedor Tsarev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fedor Tsarev Line = papers co-authored together Fedor Tsarev links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201428
2 201126
3 201124
4 201210
5 20139
6 20136
7 20115
8 20154
9 20134
10 20133
11 20123
12 20063
13 20142
14 20131
15 20081
16 20140

About Fedor Tsarev

Fedor Tsarev is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 129 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (7 papers), Formal Methods in Verification (6 papers), Algorithms and Data Compression (4 papers), AI-based Problem Solving and Planning (3 papers), Machine Learning and Algorithms (3 papers), Logic, programming, and type systems (2 papers), Genomics and Phylogenetic Studies (2 papers) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Software (26 citations), Computational Theory and Mathematics (42 citations), Artificial Intelligence (61 citations), Industrial and Manufacturing Engineering (15 citations) and Hardware and Architecture (9 citations). Fedor Tsarev has collaborated with scholars based in Russia, United States and Poland. Frequent co-authors include Vladimir Ulyantsev, Anatoly Shalyto, С. В. Казаков, Alexey Sergushichev, Natalia Abramova, M.C. Riva, Dmitry Kirsanov, Andrey Bratov, Andrey Legin and Juan M. Ribo. Their work appears in journals such as Sensors and Actuators B Chemical, BMC Bioinformatics, Journal of Computer and Systems Sciences International, Izvestiya of Saratov University Mathematics Mechanics Informatics and SPIIRAS Proceedings.

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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