М. В. Терешонок

57 total papers · 500 total citations
38 papers, 347 citations indexed

About

М. В. Терешонок is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, М. В. Терешонок has authored 38 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in М. В. Терешонок's work include Neural Networks and Applications (7 papers), Advanced Memory and Neural Computing (5 papers) and Plasma Diagnostics and Applications (4 papers). М. В. Терешонок is often cited by papers focused on Neural Networks and Applications (7 papers), Advanced Memory and Neural Computing (5 papers) and Plasma Diagnostics and Applications (4 papers). М. В. Терешонок collaborates with scholars based in Russia, France and United Kingdom. М. В. Терешонок's co-authors include N. V. Klenov, I. I. Soloviev, A. M. Popov, A. V. Bogatskaya, S. V. Bakurskiy, M. Yu. Kupriyanov, V. S. Stolyarov, A. A. Golubov, E. A. Volkova and Anatolie Sidorenko and has published in prestigious journals such as Journal of Applied Physics, Sensors and IEEE Transactions on Antennas and Propagation.

In The Last Decade

М. В. Терешонок

34 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
М. В. Терешонок 193 170 148 40 25 38 347
Min Soe 119 0.6× 87 0.5× 134 0.9× 25 0.6× 5 0.2× 41 340
Nadav Cohen 79 0.4× 76 0.4× 109 0.7× 15 0.4× 33 1.3× 38 312
Michael Ortner 107 0.6× 30 0.2× 165 1.1× 41 1.0× 10 0.4× 38 328
Mehdi Hosseini 103 0.5× 60 0.4× 149 1.0× 55 1.4× 10 0.4× 51 313
Ralf Neubert 65 0.3× 34 0.2× 83 0.6× 28 0.7× 32 1.3× 43 369
Jean Michel Sellier 92 0.5× 84 0.5× 203 1.4× 23 0.6× 17 0.7× 45 359
Vladimir Lončar 50 0.3× 92 0.5× 113 0.8× 37 0.9× 3 0.1× 30 351
S.D. Bedrosian 92 0.5× 47 0.3× 23 0.2× 14 0.3× 25 1.0× 47 354
Boris Kryzhanovsky 38 0.2× 84 0.5× 130 0.9× 74 1.9× 11 0.4× 61 313
Bidyut Sen 166 0.9× 49 0.3× 150 1.0× 39 1.0× 8 0.3× 33 343

Countries citing papers authored by М. В. Терешонок

Since Specialization
Citations

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

Fields of papers citing papers by М. В. Терешонок

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. В. Терешонок. 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 М. В. Терешонок. The network helps show where М. В. Терешонок may publish in the future.

Co-authorship network of co-authors of М. В. Терешонок

This figure shows the co-authorship network connecting the top 25 collaborators of М. В. Терешонок. A scholar is included among the top collaborators of М. В. Терешонок 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 М. В. Терешонок. М. В. Терешонок is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026