Prabir Panja

995 total citations
50 papers, 726 citations indexed

About

Prabir Panja is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Prabir Panja has authored 50 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Public Health, Environmental and Occupational Health, 27 papers in Genetics and 15 papers in Modeling and Simulation. Recurrent topics in Prabir Panja's work include Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (26 papers) and Fractional Differential Equations Solutions (10 papers). Prabir Panja is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (26 papers) and Fractional Differential Equations Solutions (10 papers). Prabir Panja collaborates with scholars based in India, Iraq and Saudi Arabia. Prabir Panja's co-authors include Shyamal Kumar Mondal, Dipak Kumar Jana, Joydev Chattopadhyay, Ashraf Adnan Thirthar, Thabet Abdeljawad, Manar A. Alqudah, Jyotirmoy Roy, Shariful Alam, Hussam Alrabaiah and Sankar Prasad Mondal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Nonlinear Dynamics.

In The Last Decade

Prabir Panja

45 papers receiving 681 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabir Panja India 16 555 352 241 131 81 50 726
Sabyasachi Bhattacharya India 17 397 0.7× 244 0.7× 231 1.0× 114 0.9× 69 0.9× 83 884
Debaldev Jana India 17 591 1.1× 447 1.3× 146 0.6× 143 1.1× 165 2.0× 45 669
Xin-You Meng China 16 602 1.1× 364 1.0× 287 1.2× 79 0.6× 143 1.8× 49 670
Alakes Maiti India 14 478 0.9× 344 1.0× 186 0.8× 99 0.8× 71 0.9× 30 530
Xiaoying Wang Canada 8 760 1.4× 634 1.8× 207 0.9× 281 2.1× 83 1.0× 18 840
Yongzhen Pei China 18 669 1.2× 384 1.1× 306 1.3× 116 0.9× 180 2.2× 86 927
Changguo Li China 14 404 0.7× 227 0.6× 196 0.8× 65 0.5× 118 1.5× 51 582
Yunfei Lv China 13 434 0.8× 242 0.7× 159 0.7× 76 0.6× 150 1.9× 43 527
Jai Prakash Tripathi India 17 776 1.4× 543 1.5× 367 1.5× 188 1.4× 149 1.8× 48 904
Bapin Mondal India 13 359 0.6× 278 0.8× 139 0.6× 128 1.0× 43 0.5× 47 463

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-authorship network of co-authors of Prabir Panja

This figure shows the co-authorship network connecting the top 25 collaborators of Prabir Panja. A scholar is included among the top collaborators of Prabir Panja based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prabir Panja. Prabir Panja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thirthar, Ashraf Adnan, et al.. (2025). CLIMATE CHANGE IMPACTS ON TRI-TROPHIC PREDATOR–PREY MODEL OF THE INTERACTIONS BETWEEN WOLVES, UNGULATES, AND PLANTS. Fractals. 33(6). 3 indexed citations
2.
Panja, Prabir. (2023). Dynamics of a crop, pest and predator model in an agricultural system. Results in Control and Optimization. 12. 100274–100274. 1 indexed citations
3.
Thirthar, Ashraf Adnan, Prabir Panja, Aziz Khan, Manar A. Alqudah, & Thabet Abdeljawad. (2023). AN ECOSYSTEM MODEL WITH MEMORY EFFECT CONSIDERING GLOBAL WARMING PHENOMENA AND AN EXPONENTIAL FEAR FUNCTION. Fractals. 31(10). 15 indexed citations
4.
Panja, Prabir. (2023). Dynamics of a predator-prey model with group defense and exponential fading memory. The interdisciplinary journal of Discontinuity Nonlinearity and Complexity. 12(3). 497–510. 2 indexed citations
5.
Yousef, Ali, et al.. (2022). The hunting cooperation of a predator under two prey's competition and fear-effect in the prey-predator fractional-order model. AIMS Mathematics. 7(4). 5463–5479. 22 indexed citations
6.
Jana, Dipak Kumar & Prabir Panja. (2022). Effects of supplying additional food for a scavenger species in a prey-predator-scavenger model with quadratic harvesting. International Journal of Modelling and Simulation. 43(3). 250–264. 8 indexed citations
7.
Panja, Prabir. (2022). Dynamics of a Stage Structured Predator-prey Model with Fear Effects. The interdisciplinary journal of Discontinuity Nonlinearity and Complexity. 11(4). 651–669. 1 indexed citations
8.
9.
Roy, Jyotirmoy, et al.. (2020). Impact of predator incited fear and prey refuge in a fractional order prey predator model. Chaos Solitons & Fractals. 142. 110420–110420. 58 indexed citations
10.
Panja, Prabir, Soovoojeet Jana, & Shyamal Kumar Mondal. (2020). Dynamics of a stage structure prey-predator model with ratio-dependent functional response and anti-predator behavior of adult prey. Numerical Algebra Control and Optimization. 11(3). 391–391. 10 indexed citations
11.
Panja, Prabir. (2020). Combine effects of square root functional response and prey refuge on predator–prey dynamics. International Journal of Modelling and Simulation. 41(6). 426–433. 22 indexed citations
12.
Panja, Prabir, et al.. (2020). Is the intermediate predator a key regulator of a tri-trophic food chain model?: An illustration through a new functional response. Chaos Solitons & Fractals. 132. 109613–109613. 11 indexed citations
13.
Panja, Prabir. (2019). Dynamics of a fractional order predator-prey model with intraguild predation. International Journal of Modelling and Simulation. 39(4). 256–268. 32 indexed citations
14.
Panja, Prabir. (2019). Prey–predator–scavenger model with Monod–Haldane type functional response. Rendiconti del Circolo Matematico di Palermo Series 2. 69(3). 1205–1219. 17 indexed citations
15.
Panja, Prabir. (2019). Stability and dynamics of a fractional-order three-species predator–prey model. Theory in Biosciences. 138(2). 251–259. 26 indexed citations
16.
Panja, Prabir, Shyamal Kumar Mondal, & Joydev Chattopadhyay. (2017). Dynamical Effects of Anti-predator Behaviour of Adult Prey in a Predator-Prey Model with Ratio-dependent Functional Response. Studies in Applied Mathematics. 1(1). 19–32. 15 indexed citations
17.
Panja, Prabir, et al.. (2017). Dynamics of a predator-prey model with stage-structure on both species and anti-predator behavior. Informatics in Medicine Unlocked. 10. 50–57. 53 indexed citations
18.
Panja, Prabir, Shyamal Kumar Mondal, & Joydev Chattopadhyay. (2017). Dynamical Study in Fuzzy Threshold Dynamics of a Cholera Epidemic Model. Fuzzy Information and Engineering. 9(3). 381–401. 27 indexed citations
19.
Panja, Prabir, Shyamal Kumar Mondal, & Joydev Chattopadhyay. (2015). Dynamics of cholera outbreak with bacteriophage and periodic rate of contact. International Journal of Dynamics and Control. 4(3). 284–292. 13 indexed citations
20.
Das, Suresh Chandra, Asis Khan, Prabir Panja, et al.. (2005). Dairy farm investigation on Shiga toxin-producing Escherichia coli (STEC) in Kolkata, India with emphasis on molecular characterization. Epidemiology and Infection. 133(4). 617–626. 12 indexed citations

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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