Tanmay Mitra
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- COVID-19 epidemiological studies 6
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Michael Meyer‐Hermann (9 shared papers)Sahamoddin Khailaie (6 shared papers)Marta Schips (4 shared papers)Arnab Bandyopadhyay (4 shared papers)Sebastian C. Binder (4 shared papers)Berit Lange (3 shared papers)Patrizio Vanella (3 shared papers)Pietro Mascheroni (1 shared paper)
- Journals
- Scientific Reports (1 paper)PLoS Computational Biology (1 paper)BMC Medicine (1 paper)Frontiers in Immunology (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- GermanyUnited KingdomIndia
In The Last Decade
Tanmay Mitra
11 papers receiving 194 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 90
- Infectious Diseases 56
- Immunology 24
- Obstetrics and Gynecology 8
- Emergency Medical Services 6
Countries citing papers authored by Tanmay Mitra
This map shows the geographic impact of Tanmay Mitra'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 Tanmay Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Mitra more than expected).
Fields of papers citing papers by Tanmay Mitra
This network shows the impact of papers produced by Tanmay Mitra. 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 Tanmay Mitra. The network helps show where Tanmay Mitra may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanmay Mitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 51 | |
| 2 | 2021 | 38 | |
| 3 | 2023 | 30 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 |
About Tanmay Mitra
Tanmay Mitra is a scholar working on Modeling and Simulation, Infectious Diseases, Obstetrics and Gynecology, Soil Science and Economics and Econometrics, having authored 11 papers that have together received 195 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Impact on Reproduction (2 papers), Agricultural risk and resilience (2 papers), COVID-19 Pandemic Impacts (2 papers), Immune Cell Function and Interaction (2 papers), Long-Term Effects of COVID-19 (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (90 citations), Infectious Diseases (56 citations), Immunology (24 citations), Obstetrics and Gynecology (8 citations) and Emergency Medical Services (6 citations). Tanmay Mitra has collaborated with scholars based in Germany, United Kingdom and India. Frequent co-authors include Michael Meyer‐Hermann, Sahamoddin Khailaie, Marta Schips, Arnab Bandyopadhyay, Sebastian C. Binder, Berit Lange, Patrizio Vanella, Pietro Mascheroni, Masoud Hoore and Sitabhra Sinha. Their work appears in journals such as Scientific Reports, PLoS Computational Biology, BMC Medicine, Frontiers in Immunology and Mathematical Biosciences.
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.