В. М. Еськов

1.4k citations
68 papers · 902 indexed · h-index 19
Topics
Fusion and Plasma Physics Studies (41 papers)Biofield Effects and Biophysics (25 papers)Technology and Human Factors in Education and Health (16 papers)
Journals
SHILAP Revista de lepidopterologíaNeurocomputingBulletin of Experimental Biology and Medicine
Partner nations
RussiaTajikistanCzechia

In The Last Decade

В. М. Еськов

62 papers receiving 763 citations

Peers

В. М. Еськов
Comparison fields: 5 of 70
  • Statistical and Nonlinear Physics 791
  • Physiology 502
  • Public Health, Environmental and Occupational Health 397
  • Pediatrics, Perinatology and Child Health 75
  • Cognitive Neuroscience 36
Replace О. Филатова with:
О. Филатова Russia
Valeriy Eskov Russia
Т. В. Гавриленко Russia
Áine Byrne United Kingdom
Ary L. Goldberger United States
Andrew J. Whalen United States
Gonzalo Marcelo Ramírez-Ávila Bolivia
R.W.M. Keunen Netherlands
Srdjan Kesić Serbia
Andrei V. Slepnev Russia
В. М. Еськов relative to О. Филатова Russia О. Филатова's profile →
Citations per field
00.5×4.7×
О. Филатова · 1×
Citations per year

Countries citing papers authored by В. М. Еськов

Since Specialization
Citations

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

Fields of papers citing papers by В. М. Еськов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of В. М. Еськов. A scholar is included among the top collaborators of В. М. Еськов 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 В. М. Еськов. В. М. Еськов 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
#WorkIndexed citations
1 1
2 3
3 3
4 0
5 16
6 9
7 27
8 33
9 34
10 34
11 49
12 35
13 39
14
К проблеме самоорганизации в биологии и психологии
1
15 39
16 1
17 6
18 34
19 50
20 1

About В. М. Еськов

В. М. Еськов is a scholar working on Statistical and Nonlinear Physics, Physiology and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 902 indexed citations. Recurring topics across this work include Fusion and Plasma Physics Studies (41 papers), Biofield Effects and Biophysics (25 papers) and Technology and Human Factors in Education and Health (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (791 citations), Physiology (502 citations) and Public Health, Environmental and Occupational Health (397 citations). В. М. Еськов has collaborated with scholars based in Russia, Tajikistan and Czechia. Frequent co-authors include Т. В. Гавриленко, О. Филатова, Valeriy Eskov, А. А. Хадарцев, Lubov K. Ilyashenko, В. Б. Бетелин, Yu. M. Popov, V. F. Pyatin, Anton Egorov and Yury P. Zinchenko. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Bulletin of Experimental Biology and Medicine.

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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