E. Pechersky

55 total papers · 588 total citations
24 papers, 426 citations indexed

About

E. Pechersky is a scholar working on Mathematical Physics, Management Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, E. Pechersky has authored 24 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mathematical Physics, 6 papers in Management Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in E. Pechersky's work include Stochastic processes and statistical mechanics (10 papers), Advanced Queuing Theory Analysis (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). E. Pechersky is often cited by papers focused on Stochastic processes and statistical mechanics (10 papers), Advanced Queuing Theory Analysis (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). E. Pechersky collaborates with scholars based in Russia, Brazil and France. E. Pechersky's co-authors include J.-F. Mangin, Jean‐Marie Nicolas, Henri Maı̂tre, Florence Tupin, R. L. Dobrushin, Xavier Descombes, Yu. M. Suhov, Yuri Suhov, Pablo A. Ferrari and Anatoly Yambartsev and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Communications in Mathematical Physics and Journal of Statistical Physics.

In The Last Decade

E. Pechersky

21 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
E. Pechersky 263 205 139 123 61 24 426
Kulsawasd Jitkajornwanich 106 0.4× 106 0.5× 141 1.0× 119 1.0× 14 0.2× 36 414
Heng Liu 65 0.2× 49 0.2× 99 0.7× 73 0.6× 4 0.1× 12 408
Shaunak De 40 0.2× 122 0.6× 155 1.1× 52 0.4× 241 4.0× 38 398
Hongjun Song 35 0.1× 25 0.1× 20 0.1× 163 1.3× 206 3.4× 38 422
Xiaochong Tong 81 0.3× 106 0.5× 129 0.9× 161 1.3× 97 1.6× 49 457
S. Golden 82 0.3× 21 0.1× 54 0.4× 159 1.3× 71 1.2× 12 481
Giuliano Laccetti 43 0.2× 39 0.2× 12 0.1× 56 0.5× 20 0.3× 46 429
Rongting Zhang 138 0.5× 132 0.6× 81 0.6× 123 1.0× 86 1.4× 39 452
A. Moghaddamjoo 105 0.4× 84 0.4× 73 0.5× 72 0.6× 56 0.9× 33 390
Hong Tang 75 0.3× 114 0.6× 148 1.1× 118 1.0× 46 0.8× 44 390

Countries citing papers authored by E. Pechersky

Since Specialization
Citations

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

Fields of papers citing papers by E. Pechersky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Pechersky

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