Deepit Bhatia
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
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- Mosquito-borne diseases and control 2
- Injury Epidemiology and Prevention 1
- Zoonotic diseases and public health 1
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- COVID-19 epidemiological studies 1
- Co-authors
- Isaac I. Bogoch (5 shared papers)Kamran Khan (4 shared papers)Ashleigh R. Tuite (4 shared papers)Alexander Watts (3 shared papers)Jean Hai Ein Yong (2 shared papers)Carmen Huber (2 shared papers)Andrea L. Thomas-Bachli (1 shared paper)Rahim Moineddin (2 shared papers)
- Journals
- Journal of Travel Medicine (2 papers)The Annals of Family Medicine (1 paper)The Lancet Infectious Diseases (1 paper)Annals of Internal Medicine (1 paper)BMC Medicine (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Deepit Bhatia
9 papers receiving 320 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 69
- Infectious Diseases 97
- Public Health, Environmental and Occupational Health 145
- Health 27
- Epidemiology 68
Countries citing papers authored by Deepit Bhatia
This map shows the geographic impact of Deepit Bhatia'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 Deepit Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepit Bhatia more than expected).
Fields of papers citing papers by Deepit Bhatia
This network shows the impact of papers produced by Deepit Bhatia. 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 Deepit Bhatia. The network helps show where Deepit Bhatia may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepit Bhatia, 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 | 2018 | 85 | |
| 2 | 2019 | 72 | |
| 3 | 2018 | 52 | |
| 4 | 2020 | 37 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2018 | 7 |
About Deepit Bhatia
Deepit Bhatia is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Endocrinology, Microbiology and Emergency Medical Services, having authored 9 papers that have together received 325 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (2 papers), Healthcare Operations and Scheduling Optimization (1 paper), COVID-19 epidemiological studies (1 paper), Injury Epidemiology and Prevention (1 paper), Data-Driven Disease Surveillance (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Zoonotic diseases and public health (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Modeling and Simulation (69 citations), Infectious Diseases (97 citations), Public Health, Environmental and Occupational Health (145 citations), Health (27 citations) and Epidemiology (68 citations). Deepit Bhatia has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Isaac I. Bogoch, Kamran Khan, Ashleigh R. Tuite, Alexander Watts, Jean Hai Ein Yong, Carmen Huber, Andrea L. Thomas-Bachli, Rahim Moineddin, Nathan M. Stall and Matthew T. Warkentin. Their work appears in journals such as Journal of Travel Medicine, The Annals of Family Medicine, The Lancet Infectious Diseases, Annals of Internal Medicine and BMC Medicine.
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.