Tripti Pande
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 14
- COVID-19 Clinical Research Studies 4
-
- Pneumonia and Respiratory Infections 4
- Co-authors
- Madhukar Pai (12 shared papers)Faiz Ahmad Khan (2 shared papers)Sophie Huddart (3 shared papers)Kavitha Saravu (3 shared papers)Vaidehi Nafade (2 shared papers)Nebiat Gebreselassie (1 shared paper)Mohidus Samad Khan (1 shared paper)Christian Lienhardt (1 shared paper)
- Journals
- International Journal of Environmental Research and Public Health (3 papers)Tropical Medicine and Infectious Disease (2 papers)BMJ Global Health (2 papers)CHEST Journal (2 papers)PLoS ONE (2 papers)
- Partner nations
- CanadaIndiaNetherlands
In The Last Decade
Tripti Pande
25 papers receiving 468 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 47
- Infectious Diseases 211
- Radiology, Nuclear Medicine and Imaging 160
- Health Information Management 21
- Modeling and Simulation 16
Countries citing papers authored by Tripti Pande
This map shows the geographic impact of Tripti Pande'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 Tripti Pande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tripti Pande more than expected).
Fields of papers citing papers by Tripti Pande
This network shows the impact of papers produced by Tripti Pande. 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 Tripti Pande. The network helps show where Tripti Pande may publish in the future.
Co-authors
The 25 scholars most cited alongside Tripti Pande, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2018 | 70 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 54 | |
| 5 | 2018 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2015 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2022 | 3 |
About Tripti Pande
Tripti Pande is a scholar working on Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and General Health Professions, having authored 25 papers that have together received 483 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), COVID-19 diagnosis using AI (7 papers), COVID-19 Clinical Research Studies (4 papers), Pneumonia and Respiratory Infections (4 papers), Global Maternal and Child Health (3 papers), COVID-19 epidemiological studies (3 papers), Diagnosis and treatment of tuberculosis (3 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Health Informatics (47 citations), Infectious Diseases (211 citations), Radiology, Nuclear Medicine and Imaging (160 citations), Health Information Management (21 citations) and Modeling and Simulation (16 citations). Tripti Pande has collaborated with scholars based in Canada, India and Netherlands. Frequent co-authors include Madhukar Pai, Faiz Ahmad Khan, Sophie Huddart, Kavitha Saravu, Vaidehi Nafade, Nebiat Gebreselassie, Mohidus Samad Khan, Christian Lienhardt, Theo G. M. van de Ven and Kuldeep Dhama. Their work appears in journals such as International Journal of Environmental Research and Public Health, Tropical Medicine and Infectious Disease, BMJ Global Health, CHEST Journal and PLoS ONE.
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.