Arindam Ray
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Health 18
- Vaccine Coverage and Hesitancy 18
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- Viral gastroenteritis research and epidemiology 12
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Pradeep Haldar (11 shared papers)Susmita Chatterjee (6 shared papers)Logan Brenzel (5 shared papers)Ramanan Laxminarayan (2 shared papers)Stephen Resch (3 shared papers)Arindam Nandi (2 shared papers)Anita Shet (1 shared paper)Mathuram Santosham (1 shared paper)
- Journals
- Vaccine X (9 papers)Health Policy and Planning (4 papers)Vaccine (4 papers)Vaccines (4 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arindam Ray
34 papers receiving 234 citations
Peers
Comparison fields: 5 of 73
- Health 113
- Modeling and Simulation 39
- Infectious Diseases 110
- Hepatology 33
- Business and International Management 5
Countries citing papers authored by Arindam Ray
This map shows the geographic impact of Arindam Ray'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 Arindam Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindam Ray more than expected).
Fields of papers citing papers by Arindam Ray
This network shows the impact of papers produced by Arindam Ray. 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 Arindam Ray. The network helps show where Arindam Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Arindam Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2021 | 16 | |
| 3 | 2018 | 16 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2023 | 8 | |
| 12 | Profile of behavioural risk factors of non-communicable diseases in an urban setting in New Delhi. | 2009 | 8 |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Arindam Ray
Arindam Ray is a scholar working on Health, Infectious Diseases, Epidemiology, Modeling and Simulation and Food Science, having authored 40 papers that have together received 240 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Viral gastroenteritis research and epidemiology (12 papers), COVID-19 epidemiological studies (7 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), Salmonella and Campylobacter epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pneumonia and Respiratory Infections (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Health (113 citations), Modeling and Simulation (39 citations), Infectious Diseases (110 citations), Hepatology (33 citations) and Business and International Management (5 citations). Arindam Ray has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Pradeep Haldar, Susmita Chatterjee, Logan Brenzel, Ramanan Laxminarayan, Stephen Resch, Arindam Nandi, Anita Shet, Mathuram Santosham, Palash Das and Robert Steinglass. Their work appears in journals such as Vaccine X, Health Policy and Planning, Vaccine, Vaccines and Human Vaccines & Immunotherapeutics.
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.