Avijit Mitra
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 5
- Topic Modeling 4
-
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Hong Yu (8 shared papers)Zhichao Yang (4 shared papers)Weisong Liu (7 shared papers)Dan R. Berlowitz (2 shared papers)Ragib Ahsan (1 shared paper)Md. Ziaur Rahman Khan (1 shared paper)David D. McManus (2 shared papers)M. A. Basith (1 shared paper)
- Journals
- Diagnostic Cytopathology (1 paper)JAMA Network Open (1 paper)BMC Health Services Research (1 paper)RSC Advances (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesBangladeshIran
In The Last Decade
Avijit Mitra
16 papers receiving 182 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 12
- Health Information Management 22
- Issues, ethics and legal aspects 3
- Health 19
- Artificial Intelligence 66
Countries citing papers authored by Avijit Mitra
This map shows the geographic impact of Avijit Mitra'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 Avijit Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avijit Mitra more than expected).
Fields of papers citing papers by Avijit Mitra
This network shows the impact of papers produced by Avijit Mitra. 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 Avijit Mitra. The network helps show where Avijit Mitra may publish in the future.
Co-authors
The 25 scholars most cited alongside Avijit Mitra, 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 | 2023 | 44 | |
| 2 | 2023 | 28 | |
| 3 | 2018 | 27 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 13 | |
| 6 | Early retardation of 99mTc-DTPA radioaerosol transalveolar clearance in irradiated canine lung. | 2001 | 12 |
| 7 | MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health. | 2021 | 11 |
| 8 | Effect of inhaled surfactant on pulmonary deposition and clearance of technetium-99m-DTPA radioaerosol. | 1998 | 9 |
| 9 | Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems. | 2020 | 7 |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Avijit Mitra
Avijit Mitra is a scholar working on Artificial Intelligence, Molecular Biology, Clinical Psychology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 185 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (3 papers), Opioid Use Disorder Treatment (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Suicide and Self-Harm Studies (2 papers), Health disparities and outcomes (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Health Informatics (12 citations), Health Information Management (22 citations), Issues, ethics and legal aspects (3 citations), Health (19 citations) and Artificial Intelligence (66 citations). Avijit Mitra has collaborated with scholars based in United States, Bangladesh and Iran. Frequent co-authors include Hong Yu, Zhichao Yang, Weisong Liu, Dan R. Berlowitz, Ragib Ahsan, Md. Ziaur Rahman Khan, David D. McManus, M. A. Basith, Philip O. Alderson and Jack Tsai. Their work appears in journals such as Diagnostic Cytopathology, JAMA Network Open, BMC Health Services Research, RSC Advances and Nature Communications.
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.