T. K. Kar
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 166
- Genetics 118
- Evolution and Genetic Dynamics 118
- Co-authors
- Soovoojeet Jana (64 shared papers)Kunal Chakraborty (20 shared papers)Bapan Ghosh (16 shared papers)Dhiraj Kumar Das (16 shared papers)Kripasindhu Chaudhuri (10 shared papers)Swapan Kumar Nandi (14 shared papers)Anupam Khatua (15 shared papers)Manotosh Mandal (12 shared papers)
In The Last Decade
T. K. Kar
188 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 2.0k
- Public Health, Environmental and Occupational Health 3.6k
- Genetics 2.3k
- Geometry and Topology 182
- Global and Planetary Change 410
Countries citing papers authored by T. K. Kar
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
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-authors
The 25 scholars most cited alongside T. K. Kar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 289 | |
| 2 | 2004 | 271 | |
| 3 | 2005 | 143 | |
| 4 | 2011 | 138 | |
| 5 | 2012 | 107 | |
| 6 | 2012 | 104 | |
| 7 | 2011 | 103 | |
| 8 | 2018 | 93 | |
| 9 | 2019 | 87 | |
| 10 | 2003 | 85 | |
| 11 | 2003 | 81 | |
| 12 | 2006 | 79 | |
| 13 | 2012 | 72 | |
| 14 | 2019 | 72 | |
| 15 | 2012 | 70 | |
| 16 | 2004 | 70 | |
| 17 | 2011 | 69 | |
| 18 | 2007 | 68 | |
| 19 | 2019 | 63 | |
| 20 | 2013 | 61 |
About T. K. Kar
T. K. Kar is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Global and Planetary Change, having authored 202 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (166 papers), Evolution and Genetic Dynamics (118 papers), COVID-19 epidemiological studies (51 papers), Evolutionary Game Theory and Cooperation (36 papers), Fractional Differential Equations Solutions (28 papers), Marine and fisheries research (26 papers), Mathematical Biology Tumor Growth (26 papers) and Marine Bivalve and Aquaculture Studies (16 papers). The work is most often cited by research in Modeling and Simulation (2.0k citations), Public Health, Environmental and Occupational Health (3.6k citations), Genetics (2.3k citations), Geometry and Topology (182 citations) and Global and Planetary Change (410 citations). T. K. Kar has collaborated with scholars based in India, Japan and Russia. Frequent 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. Their work appears in journals such as Nonlinear Dynamics, Applied Mathematics and Computation, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation and Ecological Modelling.
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.