Ritwik Dahake
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
Papers in
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- HIV/AIDS drug development and treatment 3
- Viral Infections and Outbreaks Research 2
- SARS-CoV-2 and COVID-19 Research 2
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- Respiratory viral infections research 3
- Influenza Virus Research Studies 3
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Co-authors
- Abhay Chowdhary (11 shared papers)Remco van de Pas (2 shared papers)Guido Vanham (2 shared papers)Wim Van Damme (2 shared papers)Yibeltal Assefa (1 shared paper)Deepak Y. Patil (5 shared papers)Soumen Roy (2 shared papers)Usha Padmanabhan (2 shared papers)
In The Last Decade
Ritwik Dahake
14 papers receiving 187 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 31
- Infectious Diseases 65
- Parasitology 21
- Virology 9
- Complementary and alternative medicine 15
Countries citing papers authored by Ritwik Dahake
This map shows the geographic impact of Ritwik Dahake'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 Ritwik Dahake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritwik Dahake more than expected).
Fields of papers citing papers by Ritwik Dahake
This network shows the impact of papers produced by Ritwik Dahake. 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 Ritwik Dahake. The network helps show where Ritwik Dahake may publish in the future.
Co-authors
The 20 scholars most cited alongside Ritwik Dahake, 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 | 2020 | 61 | |
| 2 | 2013 | 39 | |
| 3 | 2014 | 22 | |
| 4 | 2016 | 19 | |
| 5 | 2013 | 18 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2016 | 5 | |
| 11 | 2012 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2014 | 0 |
About Ritwik Dahake
Ritwik Dahake is a scholar working on Infectious Diseases, Epidemiology, Virology, Modeling and Simulation and Immunology, having authored 16 papers that have together received 199 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Respiratory viral infections research (3 papers), HIV/AIDS drug development and treatment (3 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Outbreaks Research (2 papers), HIV Research and Treatment (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Modeling and Simulation (31 citations), Infectious Diseases (65 citations), Parasitology (21 citations), Virology (9 citations) and Complementary and alternative medicine (15 citations). Ritwik Dahake has collaborated with scholars based in India, Belgium and Australia. Frequent co-authors include Abhay Chowdhary, Remco van de Pas, Guido Vanham, Wim Van Damme, Yibeltal Assefa, Deepak Y. Patil, Soumen Roy, Usha Padmanabhan, Soumen Roy and Yibeltal Assefa. Their work appears in journals such as BMC Infectious Diseases, European Journal Of Haematology, Indian Journal of Medical Microbiology, Medical Hypotheses and Indian Journal of Public Health.
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.