Swapan Kumar Nandi
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Genetics
- Infectious Diseases
- Economics and Econometrics top 10%
- Co-authors
- T. K. KarSoovoojeet JanaManotosh MandalAnupam KhatuaSayani AdakYun KangGautam BanerjeeDebabrata Das
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)Evolution and Genetic Dynamics (10 papers)COVID-19 epidemiological studies (8 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Partner nations
- IndiaUnited States
In The Last Decade
Swapan Kumar Nandi
15 papers receiving 516 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 426
- Public Health, Environmental and Occupational Health 325
- Genetics 121
- Infectious Diseases 112
- Economics and Econometrics 81
Countries citing papers authored by Swapan Kumar Nandi
This map shows the geographic impact of Swapan Kumar Nandi'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 Swapan Kumar Nandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapan Kumar Nandi more than expected).
Fields of papers citing papers by Swapan Kumar Nandi
This network shows the impact of papers produced by Swapan Kumar Nandi. 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 Swapan Kumar Nandi. The network helps show where Swapan Kumar Nandi may publish in the future.
Co-authorship network of co-authors of Swapan Kumar Nandi
This figure shows the co-authorship network connecting the top 25 collaborators of Swapan Kumar Nandi. A scholar is included among the top collaborators of Swapan Kumar Nandi 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 Swapan Kumar Nandi. Swapan Kumar Nandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 35 | |
| 4 | 16 | |
| 5 | 289 | |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 63 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 60 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | Mode of spread of epidemic koro in a village in west bengal. | 2 |
About Swapan Kumar Nandi
Swapan Kumar Nandi is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 16 papers that have together received 533 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (10 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Modeling and Simulation (426 citations), Public Health, Environmental and Occupational Health (325 citations) and Infectious Diseases (112 citations). Swapan Kumar Nandi has collaborated with scholars based in India and United States. Frequent co-authors include T. K. Kar, Soovoojeet Jana, Manotosh Mandal, Anupam Khatua, Sayani Adak, Yun Kang, Gautam Banerjee and Debabrata Das. Their work appears in journals such as Chaos Solitons & Fractals, Modeling Earth Systems and Environment and Acta Biotheoretica.
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.