Deepika Gopukumar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Heart Failure Treatment and Management 1
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- Stroke Rehabilitation and Recovery 1
- Co-authors
- Min Wu (1 shared paper)Jake Luo (1 shared paper)Yiqing Zhao (1 shared paper)Huimin Zhao (1 shared paper)Bryan F. Meyers (2 shared papers)Varun Puri (2 shared papers)Su‐Hsin Chang (2 shared papers)Brendan T. Heiden (2 shared papers)
- Journals
- Anticancer Research (1 paper)Journal of Thoracic Disease (2 papers)JMIR Medical Informatics (1 paper)Informatics in Medicine Unlocked (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Deepika Gopukumar
6 papers receiving 383 citations
Deepika Gopukumar's Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 37
- Health Information Management 104
- Information Systems and Management 34
- Management Information Systems 44
- Medical Laboratory Technology 6
Countries citing papers authored by Deepika Gopukumar
This map shows the geographic impact of Deepika Gopukumar'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 Deepika Gopukumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Gopukumar more than expected).
Fields of papers citing papers by Deepika Gopukumar
This network shows the impact of papers produced by Deepika Gopukumar. 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 Deepika Gopukumar. The network helps show where Deepika Gopukumar may publish in the future.
Co-authors
The 21 scholars most cited alongside Deepika Gopukumar, 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 | Big Data Application in Biomedical Research and Health Care: A Literature Review Hit paper breakdown → | 2016 | 376 |
| 2 | 2022 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 |
About Deepika Gopukumar
Deepika Gopukumar is a scholar working on Cardiology and Cardiovascular Medicine, Rehabilitation, Health Information Management, Information Systems and Management and Epidemiology, having authored 6 papers that have together received 396 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (1 paper), Artificial Intelligence in Healthcare (1 paper), Scientific Computing and Data Management (1 paper), AI in cancer detection (1 paper), Acute Ischemic Stroke Management (1 paper), Clinical practice guidelines implementation (1 paper) and Stroke Rehabilitation and Recovery (1 paper). The work is most often cited by research in Health Informatics (37 citations), Health Information Management (104 citations), Information Systems and Management (34 citations), Management Information Systems (44 citations) and Medical Laboratory Technology (6 citations). Deepika Gopukumar has collaborated with scholars based in United States. Frequent co-authors include Min Wu, Jake Luo, Yiqing Zhao, Huimin Zhao, Bryan F. Meyers, Varun Puri, Su‐Hsin Chang, Brendan T. Heiden, Benjamin D. Kozower and Daniel B. Eaton. Their work appears in journals such as Anticancer Research, Journal of Thoracic Disease, JMIR Medical Informatics, Informatics in Medicine Unlocked and PubMed.
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.