Vikas Rai

51 papers receiving 827 citations

Peers

Vikas Rai
Comparison fields: 5 of 82
  • Modeling and Simulation 113
  • Public Health, Environmental and Occupational Health 543
  • Genetics 393
  • Computer Networks and Communications 248
  • Ceramics and Composites 50
Replace Malay Bandyopadhyay with:
Malay Bandyopadhyay India
S. Ghorai India
Pablo Aguirre Chile
Canrong Tian China
Jack D. Dockery United States
Jianhua Wu China
Jufang Chen China
Manojit Roy India
Jens D. M. Rademacher Germany
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Citations per field
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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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199776
2 199873
3 200447
4 200145
5 201143
6 200139
7 200936
8 199333
9 200731
10 200429
11 200728
12 200027
13 200823
14 201021
15 200921
16 201918
17 200718
18 200018
19 201917
20 200517

About Vikas Rai

Vikas Rai is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Computer Networks and Communications, Sociology and Political Science and Ecology, having authored 52 papers that have together received 862 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), Ecosystem dynamics and resilience (6 papers), Laser-Plasma Interactions and Diagnostics (4 papers) and Laser-induced spectroscopy and plasma (3 papers). The work is most often cited by research in Modeling and Simulation (113 citations), Public Health, Environmental and Occupational Health (543 citations), Genetics (393 citations), Computer Networks and Communications (248 citations) and Ceramics and Composites (50 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, William M. Schaffer, B. N. Raja Sekhar, R. Sreenivasan, Swarup Deb, R.J. Kshirsagar, Sanjay Kher, S. K. Deb and Pragya Tiwari. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos, Ecological Complexity, Laser and Particle Beams and Nonlinear Analysis Real World Applications.

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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