Prabir Panja

50 papers receiving 718 citations

Peers

Prabir Panja
Comparison fields: 5 of 91
  • Modeling and Simulation 241
  • Public Health, Environmental and Occupational Health 569
  • Genetics 359
  • Endocrinology 27
  • Statistics and Probability 39
Replace Changguo Li with:
Changguo Li China
Sebastian Aniţa Romania
Jai Prakash Tripathi India
Sabyasachi Bhattacharya India
O. P. Misra India
Bapin Mondal India
Xiangyun Shi China
Yunfei Lv China
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Citations per field
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Citations per year

Countries citing papers authored by Prabir Panja

Since Specialization
Citations

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

Fields of papers citing papers by Prabir Panja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 202059
3 201759
4 201753
5 202247
6 201935
7 201932
8 201727
9 201927
10 201926
11 202223
12 202022
13 201821
14 201919
15 201816
16
Dynamical Effects of Anti-predator Behaviour of Adult Prey in a Predator-Prey Model with Ratio-dependent Functional Response
201715
17 202315
18 201513
19 201612
20 202012

About Prabir Panja

Prabir Panja is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Ecology, having authored 50 papers that have together received 753 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (26 papers), Fractional Differential Equations Solutions (10 papers), Evolutionary Game Theory and Cooperation (10 papers), Animal Ecology and Behavior Studies (6 papers), Mathematical Biology Tumor Growth (4 papers), Fuzzy Systems and Optimization (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Modeling and Simulation (241 citations), Public Health, Environmental and Occupational Health (569 citations), Genetics (359 citations), Endocrinology (27 citations) and Statistics and Probability (39 citations). Prabir Panja has collaborated with scholars based in India, Saudi Arabia and Iraq. Frequent co-authors include Shyamal Kumar Mondal, Dipak Kumar Jana, Joydev Chattopadhyay, Ashraf Adnan Thirthar, Thabet Abdeljawad, Manar A. Alqudah, Sankar Prasad Mondal, Jyotirmoy Roy, Hussam Alrabaiah and Shariful Alam. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Nonlinear Sciences and Numerical Simulation, Fractals, International Journal of Biomathematics and Studies in Applied Mathematics.

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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