Krish Shah
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Topic Modeling 2
- Hate Speech and Cyberbullying Detection 1
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- Digital Imaging for Blood Diseases 1
- Co-authors
- Manan B. Shah (1 shared paper)Bruce J. Aronow (1 shared paper)Mayur Sarangdhar (1 shared paper)Anil Goud Jegga (1 shared paper)Andrew Y. Xu (3 shared papers)Alan H Daniels (2 shared papers)Christopher L. McDonald (1 shared paper)Bassel Georges Diebo (2 shared papers)
- Journals
- Journal of Clinical Medicine (1 paper)Journal of Controlled Release (1 paper)Journal of Intelligent Information Systems (1 paper)Multimedia Tools and Applications (1 paper)Annals of Clinical and Translational Neurology (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Krish Shah
16 papers receiving 270 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 16
- Toxicology 16
- Oncology 78
- Neurology 18
- Artificial Intelligence 75
Countries citing papers authored by Krish Shah
This map shows the geographic impact of Krish Shah'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 Krish Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krish Shah more than expected).
Fields of papers citing papers by Krish Shah
This network shows the impact of papers produced by Krish Shah. 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 Krish Shah. The network helps show where Krish Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Krish Shah, 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 | 2022 | 87 | |
| 2 | 2016 | 64 | |
| 3 | 2024 | 35 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 18 | |
| 6 | 2025 | 17 | |
| 7 | 2025 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2025 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Krish Shah
Krish Shah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 282 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Topic Modeling (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Statistical Methods in Clinical Trials (1 paper), Fungal Infections and Studies (1 paper), Digital Imaging for Blood Diseases (1 paper), Global Health and Surgery (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Health Informatics (16 citations), Toxicology (16 citations), Oncology (78 citations), Neurology (18 citations) and Artificial Intelligence (75 citations). Krish Shah has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Manan B. Shah, Bruce J. Aronow, Mayur Sarangdhar, Anil Goud Jegga, Andrew Y. Xu, Alan H Daniels, Christopher L. McDonald, Bassel Georges Diebo, Sheshang Degadwala and Maheshkumar H. Kolekar. Their work appears in journals such as Journal of Clinical Medicine, Journal of Controlled Release, Journal of Intelligent Information Systems, Multimedia Tools and Applications and Annals of Clinical and Translational Neurology.
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.