Nikhil Pal

61 papers receiving 1.8k citations

Peers

Nikhil Pal
Comparison fields: 5 of 80
  • Modeling and Simulation 270
  • Public Health, Environmental and Occupational Health 1.3k
  • Genetics 1.1k
  • Statistical and Nonlinear Physics 239
  • Sociology and Political Science 521
Replace Swarup Poria with:
Swarup Poria India
V. Hutson United Kingdom
Sze‐Bi Hsu Taiwan
Horst Malchow Germany
Richard McGehee United States
Alexander I. Khibnik United States
Henri Berestycki France
Uttam Ghosh India
Masayasu Mimura Japan
L. M. Perko United States
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Citations per field
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Citations per year

Countries citing papers authored by Nikhil Pal

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018176
2 2019162
3 201996
4 201994
5 201987
6 199271
7 201462
8 201650
9 202050
10 201547
11 201944
12 201843
13 201643
14 202141
15 202041
16 201435
17 202133
18 201733
19 201533
20 201532

About Nikhil Pal

Nikhil Pal is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Sociology and Political Science, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), Evolution and Genetic Dynamics (44 papers), Evolutionary Game Theory and Cooperation (24 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Ecosystem dynamics and resilience (7 papers), Animal Ecology and Behavior Studies (6 papers), Dust and Plasma Wave Phenomena (6 papers) and stochastic dynamics and bifurcation (4 papers). The work is most often cited by research in Modeling and Simulation (270 citations), Public Health, Environmental and Occupational Health (1.3k citations), Genetics (1.1k citations), Statistical and Nonlinear Physics (239 citations) and Sociology and Political Science (521 citations). Nikhil Pal has collaborated with scholars based in India, Iran and Saudi Arabia. Frequent co-authors include Sudip Samanta, Joydev Chattopadhyay, Saheb Pal, Pijush Panday, Joydev Chattopadhyay, Prasanta Chatterjee, Asit Saha, N. C. Pati, G. C. Layek and Sajad Jafari. Their work appears in journals such as International Journal of Bifurcation and Chaos, Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science, Mathematics and Computers in Simulation and Physica D Nonlinear Phenomena.

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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