T. K. Kar

5.7k total citations
202 papers, 4.5k citations indexed

About

T. K. Kar is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, T. K. Kar has authored 202 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Public Health, Environmental and Occupational Health, 118 papers in Genetics and 91 papers in Modeling and Simulation. Recurrent topics in T. K. Kar's work include Mathematical and Theoretical Epidemiology and Ecology Models (166 papers), Evolution and Genetic Dynamics (118 papers) and COVID-19 epidemiological studies (51 papers). T. K. Kar is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (166 papers), Evolution and Genetic Dynamics (118 papers) and COVID-19 epidemiological studies (51 papers). T. K. Kar collaborates with scholars based in India, Japan and Russia. T. K. Kar's co-authors include Soovoojeet Jana, Kunal Chakraborty, Bapan Ghosh, Dhiraj Kumar Das, Kripasindhu Chaudhuri, Swapan Kumar Nandi, Anupam Khatua, Manotosh Mandal, Subhas Khajanchi and Hiroyuki Matsuda and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and Journal of Theoretical Biology.

In The Last Decade

T. K. Kar

188 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. K. Kar India 36 3.6k 2.3k 2.0k 675 433 202 4.5k
Joydev Chattopadhyay India 36 3.7k 1.0× 2.5k 1.1× 1.8k 0.9× 933 1.4× 638 1.5× 200 4.9k
G. P. Samanta India 33 3.1k 0.8× 1.9k 0.8× 1.6k 0.8× 619 0.9× 316 0.7× 233 3.9k
Ezio Venturino Italy 33 2.8k 0.8× 2.3k 1.0× 1.2k 0.6× 811 1.2× 407 0.9× 262 4.1k
Linda J. S. Allen United States 37 3.1k 0.9× 1.9k 0.8× 2.3k 1.2× 444 0.7× 199 0.5× 128 5.2k
Horst R. Thieme United States 39 5.3k 1.5× 3.4k 1.5× 3.3k 1.7× 842 1.2× 514 1.2× 129 6.9k
Wendi Wang China 41 5.5k 1.5× 3.6k 1.6× 3.8k 1.9× 649 1.0× 402 0.9× 170 7.1k
Chris Cosner United States 36 3.6k 1.0× 2.6k 1.1× 1.5k 0.8× 796 1.2× 551 1.3× 140 5.9k
Sanyi Tang China 44 4.1k 1.1× 1.8k 0.8× 3.4k 1.7× 613 0.9× 491 1.1× 240 7.4k
Malay Banerjee India 34 2.9k 0.8× 2.1k 0.9× 1.1k 0.6× 486 0.7× 872 2.0× 202 3.9k
J. M. Cushing United States 38 4.6k 1.3× 2.8k 1.2× 1.7k 0.8× 1.1k 1.7× 823 1.9× 157 7.4k

Countries citing papers authored by T. K. Kar

Since Specialization
Citations

This map shows the geographic impact of T. K. Kar'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 T. K. Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. K. Kar more than expected).

Fields of papers citing papers by T. K. Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. K. Kar. 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 T. K. Kar. The network helps show where T. K. Kar may publish in the future.

Co-authorship network of co-authors of T. K. Kar

This figure shows the co-authorship network connecting the top 25 collaborators of T. K. Kar. A scholar is included among the top collaborators of T. K. Kar 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 T. K. Kar. T. K. Kar 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.
Jana, Soovoojeet, et al.. (2025). COMPLEX DYNAMICS OF A HOST-VECTOR DYNAMICS OF DENGUE INFECTION INCORPORATING OPTIMAL CONTROL STRATEGY WITH COST-EFFECTIVENESS: A FRACTIONAL-ORDER DERIVATIVE METHOD. Journal of Mathematical Sciences. 290(6). 889–918. 1 indexed citations
2.
Mondal, Sudeshna & T. K. Kar. (2025). Hydra effect and stability analysis of a delayed predator–prey model with Allee effect in the predator. The European Physical Journal Plus. 140(7).
3.
Kar, T. K., et al.. (2025). The influence of double delays in a diffusive predator–prey system: stability switching curves method. Nonlinear Dynamics. 113(13). 17311–17334.
4.
Kar, T. K., et al.. (2024). Evolution of Turing patterns of a predator–prey system with variable carrying capacity and harvesting. Chaos Solitons & Fractals. 191. 115790–115790. 3 indexed citations
5.
Kar, T. K., et al.. (2024). Spatiotemporal analysis of a modified Leslie–Gower model with cross-diffusion and harvesting. Physica D Nonlinear Phenomena. 470. 134381–134381. 5 indexed citations
6.
Kar, T. K., et al.. (2024). Spatiotemporal flow-induced instability of predator–prey model with Crowley–Martin functional response and prey harvesting. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(8).
7.
Jana, Soovoojeet, et al.. (2024). Complex dynamics of a fractional-order epidemic model with saturated media effect. Nonlinear Dynamics. 112(20). 18611–18637. 10 indexed citations
8.
9.
Jana, Soovoojeet, et al.. (2024). Theoretical analysis of a fractional-order nipah virus transmission system with sensitivity and cost-effectiveness analysis. Physica Scripta. 100(1). 15258–15258. 3 indexed citations
10.
Das, Dhiraj Kumar, et al.. (2023). Threshold dynamics of an age-structured vaccinated epidemic model with both direct and indirect routes of infections. Nonlinear Analysis Real World Applications. 76. 103993–103993. 6 indexed citations
11.
Kar, T. K., et al.. (2023). Transient and asymptotic dynamics of Bazykin’s prey-predator model on managing reactivity, resilience, and maximum sustainable yield. The European Physical Journal Plus. 138(3). 5 indexed citations
12.
Kar, T. K., et al.. (2023). Explicit impacts of harvesting on a fractional-order delayed predator–prey model. The European Physical Journal Special Topics. 232(14-15). 2629–2644. 8 indexed citations
13.
Kar, T. K., et al.. (2020). Dynamics of an Exploited Prey Predator Model Induced by Sigmoidal Functional Response in Strong Allee Effect. International Journal of Ecology & Development. 35(1). 15–34. 1 indexed citations
14.
Kar, T. K., et al.. (2013). Global Dynamics of an Exploited Prey-Predator Model with Constant Prey Refuge. 2013. 1–12. 10 indexed citations
15.
Kar, T. K., et al.. (2013). Effect of isolation in an infectious disease. International journal of ecological economics and statistics. 29(2). 87–106. 5 indexed citations
16.
Kar, T. K., et al.. (2013). Regulation of an exploited prey-predator system: A dynamic reaction model. International journal of ecological economics and statistics. 31(4). 102–121. 1 indexed citations
17.
Kar, T. K., et al.. (2012). A Mathematical Study on the Dynamics of an Eco-Epidemiological Model in the Presence of Delay. Applications and Applied Mathematics: An International Journal (AAM). 7(1). 20. 6 indexed citations
18.
Kar, T. K., et al.. (2010). MODELING AND ANALYSIS OF AN EPIDEMIC MODEL WITH CLASSICAL KERMACK-MCKENDRICK INCIDENCE RATE UNDER TREATMENT. Journal of the Korea Society for Industrial and Applied Mathematics. 14(1). 1–16. 2 indexed citations
19.
Kar, T. K., et al.. (2010). A Resource Based Stage-Structured Fishery Model With Selective Harvesting of Mature Species. Applications and Applied Mathematics: An International Journal (AAM). 5(1). 4. 2 indexed citations
20.
Kar, T. K., et al.. (2009). A BIO-ECONOMIC MODEL OF TWO-PREY ONE-PREDATOR SYSTEM. Journal of applied mathematics & informatics. 27. 1411–1427. 14 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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