V. P. Koverda

1.0k citations
106 papers · 819 · h-index 16

Impact in

Papers in

V. P. Koverda

100 papers receiving 796 citations

Peers

V. P. Koverda
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 328
  • Atmospheric Science 166
  • Computational Mechanics 163
  • Computer Networks and Communications 173
  • Environmental Chemistry 74
Replace V. P. Skripov with:
V. P. Skripov Russia
Christopher W. Meyer United States
D. V. Lyubimov Russia
Christophe Almarcha France
E. S. Benilov Ireland
B. Hébral France
P. D. Swanson United States
Luiza Angheluta Norway
John Hegseth United States
Howard A. Snyder United States
V. P. Koverda relative to V. P. Skripov Russia V. P. Skripov's profile →
Citations per field
00.5×5.3×
V. P. Skripov · 1×
Citations per year

Countries citing papers authored by V. P. Koverda

Since Specialization
Citations

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

Fields of papers citing papers by V. P. Koverda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. P. Koverda. 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 V. P. Koverda. The network helps show where V. P. Koverda may publish in the future.

Co-authors

The 9 scholars most cited alongside V. P. Koverda, 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 V. P. Koverda Line = papers co-authored together V. P. Koverda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981130
2 200361
3 200436
4 200127
5 199927
6 201326
7 201123
8 198321
9 201521
10 200920
11 199820
12 200719
13 200517
14 201316
15 199916
16 201015
17 200114
18 199314
19 201012
20 201312

About V. P. Koverda

V. P. Koverda is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Economics and Econometrics, Condensed Matter Physics and Computational Mechanics, having authored 106 papers that have together received 819 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (29 papers), Complex Systems and Time Series Analysis (29 papers), Theoretical and Computational Physics (26 papers), Statistical Mechanics and Entropy (25 papers), Advanced Thermodynamics and Statistical Mechanics (19 papers), stochastic dynamics and bifurcation (16 papers), Combustion and flame dynamics (14 papers) and Ecosystem dynamics and resilience (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (328 citations), Atmospheric Science (166 citations), Computational Mechanics (163 citations), Computer Networks and Communications (173 citations) and Environmental Chemistry (74 citations). V. P. Koverda has collaborated with scholars based in Russia and Ukraine. Frequent co-authors include V. N. Skokov, Vladimir V. Skokov, V. P. Skripov, А. В. Решетников, А. Н. Павленко, Anton Surtaev, В. Е. Жуков, A. V. Khomenko and A. I. Olemskoĭ. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, High Temperature, International Journal of Heat and Mass Transfer, Journal of Non-Crystalline Solids and Physics Letters A.

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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