Kunal Chakraborty
- Public Health, Environmental and Occupational Health top 5%
- Oceanography top 2%
- Genetics top 5%
- Global and Planetary Change top 5%
- Ecology top 10%
- Co-authors
- T. K. KarSoovoojeet JanaVinu ValsalaV. V. S. S. SarmaG.V.M. GuptaJ. KuttippurathSugata HazraB. N. P. Agarwal
- Topics
- Oceanographic and Atmospheric Processes (32 papers)Marine and coastal ecosystems (32 papers)Mathematical and Theoretical Epidemiology and Ecology Models (23 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Kunal Chakraborty
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Public Health, Environmental and Occupational Health 546
- Oceanography 469
- Genetics 376
- Global and Planetary Change 318
- Ecology 227
Countries citing papers authored by Kunal Chakraborty
This map shows the geographic impact of Kunal Chakraborty'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 Kunal Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Chakraborty more than expected).
Fields of papers citing papers by Kunal Chakraborty
This network shows the impact of papers produced by Kunal Chakraborty. 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 Kunal Chakraborty. The network helps show where Kunal Chakraborty may publish in the future.
Co-authorship network of co-authors of Kunal Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Chakraborty. A scholar is included among the top collaborators of Kunal Chakraborty 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 Kunal Chakraborty. Kunal Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 10 | |
| 18 | 51 | |
| 19 | Controllability of an eco-epidemiological system with disease transmission delay: A theoretical study | 1 |
| 20 | 56 |
About Kunal Chakraborty
Kunal Chakraborty is a scholar working on Oceanography, Modeling and Simulation and Global and Planetary Change, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (32 papers), Marine and coastal ecosystems (32 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (23 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Oceanography (469 citations) and Public Health, Environmental and Occupational Health (546 citations). Kunal Chakraborty has collaborated with scholars based in India, Japan and United States. Frequent co-authors include T. K. Kar, Soovoojeet Jana, Vinu Valsala, V. V. S. S. Sarma, G.V.M. Gupta, J. Kuttippurath, Sugata Hazra, B. N. P. Agarwal, Abhra Chanda and Sanjoy Das. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Geophysical Research Letters.
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.