Nilima Nilima
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Child Nutrition and Water Access
Papers in
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- Cervical Cancer and HPV Research 2
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- Global Maternal and Child Health 3
- Co-authors
- Siddharth Kaushik (6 shared papers)N. Shesh (4 shared papers)Bhaskaran Unnikrishnan (2 shared papers)Piyush Kant Pandey (2 shared papers)Jeetendra Yadav (2 shared papers)Asha Kamath (1 shared paper)Arathi P. Rao (1 shared paper)Umesh Tiwari (1 shared paper)
- Journals
- GeoJournal (2 papers)Public Health (2 papers)Saudi Pharmaceutical Journal (1 paper)Pathobiology (1 paper)BMC Public Health (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Nilima Nilima
26 papers receiving 345 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 30
- Nutrition and Dietetics 80
- Health Information Management 21
- Pediatrics, Perinatology and Child Health 69
- Issues, ethics and legal aspects 4
Countries citing papers authored by Nilima Nilima
This map shows the geographic impact of Nilima Nilima'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 Nilima Nilima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilima Nilima more than expected).
Fields of papers citing papers by Nilima Nilima
This network shows the impact of papers produced by Nilima Nilima. 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 Nilima Nilima. The network helps show where Nilima Nilima may publish in the future.
Co-authors
The 25 scholars most cited alongside Nilima Nilima, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2020 | 40 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Nilima Nilima
Nilima Nilima is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, General Health Professions, Oncology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 357 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (3 papers), Global Maternal and Child Health (3 papers), COVID-19 epidemiological studies (3 papers), Global Cancer Incidence and Screening (3 papers), COVID-19 Pandemic Impacts (2 papers), Cervical Cancer and HPV Research (2 papers), Trauma and Emergency Care Studies (1 paper) and Food Security and Health in Diverse Populations (1 paper). The work is most often cited by research in Modeling and Simulation (30 citations), Nutrition and Dietetics (80 citations), Health Information Management (21 citations), Pediatrics, Perinatology and Child Health (69 citations) and Issues, ethics and legal aspects (4 citations). Nilima Nilima has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Siddharth Kaushik, N. Shesh, Bhaskaran Unnikrishnan, Piyush Kant Pandey, Jeetendra Yadav, Asha Kamath, Arathi P. Rao, Umesh Tiwari, Bhargab Das and Ravindra Kumar Sinha. Their work appears in journals such as GeoJournal, Public Health, Saudi Pharmaceutical Journal, Pathobiology and BMC 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.