Alind Gupta
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 3
- Co-authors
- Paul Arora (15 shared papers)Devon J. Boyne (5 shared papers)Darren R. Brenner (5 shared papers)Justin Slater (2 shared papers)Marek J. Drużdżel (2 shared papers)Vivek Subbiah (6 shared papers)Jay Park (4 shared papers)Louis Dron (4 shared papers)
- Journals
- JAMA Network Open (5 papers)Value in Health (2 papers)JCO Clinical Cancer Informatics (1 paper)G3 Genes Genomes Genetics (1 paper)Medical Decision Making (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Alind Gupta
19 papers receiving 324 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 9
- Health Information Management 21
- Statistics and Probability 29
- Family Practice 5
- Oncology 40
Countries citing papers authored by Alind Gupta
This map shows the geographic impact of Alind Gupta'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 Alind Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alind Gupta more than expected).
Fields of papers citing papers by Alind Gupta
This network shows the impact of papers produced by Alind Gupta. 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 Alind Gupta. The network helps show where Alind Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Alind Gupta, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2022 | 37 | |
| 3 | 2022 | 27 | |
| 4 | 2019 | 21 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Alind Gupta
Alind Gupta is a scholar working on Statistics and Probability, Infectious Diseases, Oncology, Molecular Biology and Artificial Intelligence, having authored 21 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Innovation Policy and R&D (1 paper), Vibrio bacteria research studies (1 paper), Machine Learning in Healthcare (1 paper), Renal and related cancers (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Health Informatics (9 citations), Health Information Management (21 citations), Statistics and Probability (29 citations), Family Practice (5 citations) and Oncology (40 citations). Alind Gupta has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paul Arora, Devon J. Boyne, Darren R. Brenner, Justin Slater, Marek J. Drużdżel, Vivek Subbiah, Jay Park, Louis Dron, Sanjay Popat and Grace Hsu. Their work appears in journals such as JAMA Network Open, Value in Health, JCO Clinical Cancer Informatics, G3 Genes Genomes Genetics and Medical Decision Making.
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.