Vikas Rai

57 papers receiving 952 citations

Peers

Vikas Rai
Comparison fields: 5 of 89
  • Modeling and Simulation 117
  • Public Health, Environmental and Occupational Health 563
  • Genetics 404
  • Computer Networks and Communications 255
  • Ceramics and Composites 53
Replace D. J. Needham with:
D. J. Needham United Kingdom
S. Ghorai India
T. R. Marchant Australia
P.A. Zegeling Netherlands
R. O. Weber Australia
Carmela Curró Italy
Jens D. M. Rademacher Germany
Giovanna Valenti Italy
J.C. López-Marcos Spain
M. A. Bees United Kingdom
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Citations per year

Countries citing papers authored by Vikas Rai

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikas Rai, 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 Vikas Rai Line = papers co-authored together Vikas Rai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199879
2 199778
3 200149
4 200447
5 201144
6 200941
7 200139
8 199335
9 200733
10 200431
11 200728
12 200728
13 200028
14 200824
15 200922
16 201021
17 201921
18 200019
19 201118
20 200718

About Vikas Rai

Vikas Rai is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Computer Networks and Communications, Ecology and Sociology and Political Science, having authored 59 papers that have together received 990 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (29 papers), Evolution and Genetic Dynamics (20 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Evolutionary Game Theory and Cooperation (10 papers), Animal Ecology and Behavior Studies (9 papers), Laser-induced spectroscopy and plasma (8 papers), Ecosystem dynamics and resilience (6 papers) and Analytical chemistry methods development (5 papers). The work is most often cited by research in Modeling and Simulation (117 citations), Public Health, Environmental and Occupational Health (563 citations), Genetics (404 citations), Computer Networks and Communications (255 citations) and Ceramics and Composites (53 citations). Vikas Rai has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Ranjit Kumar Upadhyay, Satteluri R. K. Iyengar, Nitu Kumari, William M. Schaffer, B. N. Raja Sekhar, R. Sreenivasan, S.N. Thakur, Surya N. Thakur, Swarup Deb and Sanjay Kher. Their work appears in journals such as Chaos Solitons & Fractals, Ecological Complexity, International Journal of Bifurcation and Chaos, Laser and Particle Beams and Mathematical Biosciences.

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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