Arindam Ray
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Health 15
- Vaccine Coverage and Hesitancy 15
-
- Viral gastroenteritis research and epidemiology 8
- Co-authors
- Pradeep Haldar (11 shared papers)Susmita Chatterjee (6 shared papers)Logan Brenzel (5 shared papers)Mathuram Santosham (1 shared paper)Stephen Resch (3 shared papers)Arindam Nandi (2 shared papers)Ramanan Laxminarayan (2 shared papers)Palash Das (3 shared papers)
- Journals
- Vaccine X (10 papers)Health Policy and Planning (4 papers)Vaccines (4 papers)Vaccine (4 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arindam Ray
36 papers receiving 259 citations
Peers
Comparison fields: 5 of 71
- Health 95
- Modeling and Simulation 23
- Infectious Diseases 80
- Business and International Management 6
- Hepatology 17
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 43 | |
| 2 | 2021 | 20 | |
| 3 | 2018 | 17 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 9 | |
| 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 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Arindam Ray
Arindam Ray is a scholar working on Health, Infectious Diseases, Epidemiology, Food Science and Modeling and Simulation, having authored 42 papers that have together received 264 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (15 papers), Viral gastroenteritis research and epidemiology (8 papers), COVID-19 epidemiological studies (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Global Maternal and Child Health (3 papers), Virology and Viral Diseases (2 papers), Vibrio bacteria research studies (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Health (95 citations), Modeling and Simulation (23 citations), Infectious Diseases (80 citations), Business and International Management (6 citations) and Hepatology (17 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, Mathuram Santosham, Stephen Resch, Arindam Nandi, Ramanan Laxminarayan, Palash Das, Robert Steinglass and Anita Shet. Their work appears in journals such as Vaccine X, Health Policy and Planning, Vaccines, Vaccine 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.