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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- Child Nutrition and Water Access 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)Bharathi Purohit (2 shared papers)Arathi P. Rao (1 shared paper)
- Journals
- Public Health (2 papers)GeoJournal (2 papers)Saudi Pharmaceutical Journal (1 paper)Review of Scientific Instruments (1 paper)Oral Diseases (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Nilima Nilima
27 papers receiving 369 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 24
- Nutrition and Dietetics 71
- Health Information Management 16
- Pediatrics, Perinatology and Child Health 57
- Periodontics 11
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2020 | 43 | |
| 3 | 2019 | 32 | |
| 4 | 2020 | 27 | |
| 5 | 2016 | 21 | |
| 6 | 2018 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Nilima Nilima
Nilima Nilima is a scholar working on Epidemiology, Nutrition and Dietetics, Economics and Econometrics, Surgery and Health, having authored 28 papers that have together received 382 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (3 papers), Cervical Cancer and HPV Research (2 papers), Urban Transport and Accessibility (2 papers), Global Maternal and Child Health (2 papers), Global Cancer Incidence and Screening (2 papers), Ferroptosis and cancer prognosis (1 paper), Patient Satisfaction in Healthcare (1 paper) and Urban and Rural Development Challenges (1 paper). The work is most often cited by research in Modeling and Simulation (24 citations), Nutrition and Dietetics (71 citations), Health Information Management (16 citations), Pediatrics, Perinatology and Child Health (57 citations) and Periodontics (11 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, Bharathi Purohit, Arathi P. Rao, Umesh Tiwari and Ravindra Kumar Sinha. Their work appears in journals such as Public Health, GeoJournal, Saudi Pharmaceutical Journal, Review of Scientific Instruments and Oral Diseases.
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.