Sharmila Devi
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
Papers in
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- Health and Conflict Studies 54
- Primary Care and Health Outcomes 5
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- Healthcare Policy and Management 5
- Co-authors
- T. Rajasanthosh Kumar (1 shared paper)Mazin Abed Mohammed (1 shared paper)Radek Martínek (1 shared paper)Krishna Kumar (1 shared paper)Jan Nedoma (1 shared paper)Andino Maseleno (1 shared paper)Phong Thanh Nguyen (1 shared paper)K. Shankar (1 shared paper)
In The Last Decade
Sharmila Devi
120 papers receiving 883 citations
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 53
- Health 70
- Emergency Medical Services 58
- General Health Professions 200
- Clinical Psychology 142
Countries citing papers authored by Sharmila Devi
This map shows the geographic impact of Sharmila Devi'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 Sharmila Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharmila Devi more than expected).
Fields of papers citing papers by Sharmila Devi
This network shows the impact of papers produced by Sharmila Devi. 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 Sharmila Devi. The network helps show where Sharmila Devi may publish in the future.
Co-authors
The 9 scholars most cited alongside Sharmila Devi, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2020 | 93 | |
| 3 | 2011 | 55 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 35 | |
| 7 | 2022 | 27 | |
| 8 | 2011 | 25 | |
| 9 | 2016 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2010 | 11 | |
| 20 | 2025 | 10 |
About Sharmila Devi
Sharmila Devi is a scholar working on General Health Professions, Economics and Econometrics, Sociology and Political Science, Clinical Psychology and Finance, having authored 132 papers that have together received 914 indexed citations. Recurring topics across this work include Health and Conflict Studies (54 papers), Migration, Health and Trauma (15 papers), Healthcare Systems and Reforms (9 papers), Global Public Health Policies and Epidemiology (8 papers), Global Health Workforce Issues (7 papers), Primary Care and Health Outcomes (5 papers), Healthcare Policy and Management (5 papers) and Global Peace and Security Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (53 citations), Health (70 citations), Emergency Medical Services (58 citations), General Health Professions (200 citations) and Clinical Psychology (142 citations). Sharmila Devi has collaborated with scholars based in India, Vietnam and Malaysia. Frequent co-authors include T. Rajasanthosh Kumar, Mazin Abed Mohammed, Radek Martínek, Krishna Kumar, Jan Nedoma, Andino Maseleno, Phong Thanh Nguyen, K. Shankar and Wahidah Hashim. Their work appears in journals such as The Lancet, The Lancet Oncology, The Lancet Infectious Diseases, Sensors and Materials Today Proceedings.
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.