Nimalan Arinaminpathy
- Infectious Diseases top 1%
- Epidemiology top 5%
- Modeling and Simulation top 0.5%
- Economics and Econometrics top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Robert M. MayDavid W. DowdySandip MandalPhilippe LemeyMarc A. SuchardAndrew RambautOliver G. PybusBryan T. Grenfell
- Topics
- Tuberculosis Research and Epidemiology (26 papers)COVID-19 epidemiological studies (22 papers)Influenza Virus Research Studies (16 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Nimalan Arinaminpathy
71 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 1.2k
- Epidemiology 784
- Modeling and Simulation 500
- Economics and Econometrics 390
- Public Health, Environmental and Occupational Health 343
Countries citing papers authored by Nimalan Arinaminpathy
This map shows the geographic impact of Nimalan Arinaminpathy'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 Nimalan Arinaminpathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nimalan Arinaminpathy more than expected).
Fields of papers citing papers by Nimalan Arinaminpathy
This network shows the impact of papers produced by Nimalan Arinaminpathy. 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 Nimalan Arinaminpathy. The network helps show where Nimalan Arinaminpathy may publish in the future.
Co-authorship network of co-authors of Nimalan Arinaminpathy
This figure shows the co-authorship network connecting the top 25 collaborators of Nimalan Arinaminpathy. A scholar is included among the top collaborators of Nimalan Arinaminpathy 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 Nimalan Arinaminpathy. Nimalan Arinaminpathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 31 | |
| 10 | 11 | |
| 11 | 90 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 28 | |
| 15 | 18 | |
| 16 | 117 | |
| 17 | The early spread and epidemic ignition of HIV-1 in human populationsbreakdown → | 406 |
| 18 | 46 | |
| 19 | 15 | |
| 20 | 8 |
About Nimalan Arinaminpathy
Nimalan Arinaminpathy is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (26 papers), COVID-19 epidemiological studies (22 papers) and Influenza Virus Research Studies (16 papers). The work is most often cited by research in Modeling and Simulation (500 citations), Infectious Diseases (1.2k citations) and Virology (204 citations). Nimalan Arinaminpathy has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Robert M. May, David W. Dowdy, Sandip Mandal, Philippe Lemey, Marc A. Suchard, Andrew Rambaut, Oliver G. Pybus, Bryan T. Grenfell, Angela R. McLean and Sreenivas Achuthan Nair. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.