Prima Alam
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- COVID-19 and Mental Health
Papers in
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- COVID-19 epidemiological studies 2
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- Adolescent Sexual and Reproductive Health 3
- Mobile Health and mHealth Applications 1
- Co-authors
- Leesa K. Lin (4 shared papers)Heidi Jane Larson (2 shared papers)Deepak B. Saxena (3 shared papers)Sadia Chowdhury (1 shared paper)Susan J. Jack (1 shared paper)Lal Bahadur Rawal (1 shared paper)Syed Masud Ahmed (1 shared paper)John C S Murray (1 shared paper)
- Journals
- Vaccine X (1 paper)Bulletin of the World Health Organization (1 paper)BMC Public Health (1 paper)Journal of Travel Medicine (1 paper)Implementation Science (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Prima Alam
10 papers receiving 278 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 29
- Clinical Psychology 78
- Health 27
- Pediatrics, Perinatology and Child Health 53
- General Health Professions 49
Countries citing papers authored by Prima Alam
This map shows the geographic impact of Prima Alam'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 Prima Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prima Alam more than expected).
Fields of papers citing papers by Prima Alam
This network shows the impact of papers produced by Prima Alam. 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 Prima Alam. The network helps show where Prima Alam may publish in the future.
Co-authors
The 17 scholars most cited alongside Prima Alam, 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 | 178 | |
| 2 | 2016 | 59 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 6 | |
| 5 | 2020 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2024 | 0 |
About Prima Alam
Prima Alam is a scholar working on Modeling and Simulation, General Health Professions, Pediatrics, Perinatology and Child Health, Infectious Diseases and Sociology and Political Science, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include Adolescent Sexual and Reproductive Health (3 papers), HIV/AIDS Research and Interventions (2 papers), Sex work and related issues (2 papers), COVID-19 epidemiological studies (2 papers), Global Maternal and Child Health (2 papers), Cardiovascular Effects of Exercise (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Modeling and Simulation (29 citations), Clinical Psychology (78 citations), Health (27 citations), Pediatrics, Perinatology and Child Health (53 citations) and General Health Professions (49 citations). Prima Alam has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Leesa K. Lin, Heidi Jane Larson, Deepak B. Saxena, Sadia Chowdhury, Susan J. Jack, Lal Bahadur Rawal, Syed Masud Ahmed, John C S Murray, Shyama Kuruvilla and Rachael Hinton. Their work appears in journals such as Vaccine X, Bulletin of the World Health Organization, BMC Public Health, Journal of Travel Medicine and Implementation Science.
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.