Avijit Mitra
- Artificial Intelligence
- General Health Professions
- Materials Chemistry
- Health Information Management top 10%
- Epidemiology
- Co-authors
- Hong YuZhichao YangWeisong LiuDan R. BerlowitzRagib AhsanDavid D. McManusM. A. BasithMd. Ziaur Rahman Khan
- Topics
- Machine Learning in Healthcare (5 papers)Topic Modeling (4 papers)Biomedical Text Mining and Ontologies (3 papers)
- Partner nations
- United StatesBangladeshIndia
In The Last Decade
Avijit Mitra
16 papers receiving 182 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 66
- General Health Professions 23
- Materials Chemistry 22
- Health Information Management 22
- Epidemiology 22
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-authorship network of co-authors of Avijit Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Avijit Mitra. A scholar is included among the top collaborators of Avijit Mitra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avijit Mitra. Avijit Mitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 6 | |
| 7 | 44 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health. | 11 |
| 12 | Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems. | 7 |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | Early retardation of 99mTc-DTPA radioaerosol transalveolar clearance in irradiated canine lung. | 12 |
| 17 | Effect of inhaled surfactant on pulmonary deposition and clearance of technetium-99m-DTPA radioaerosol. | 9 |
About Avijit Mitra
Avijit Mitra is a scholar working on Internal Medicine, Health and Emergency Medicine, 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) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Health Informatics (12 citations), Health Information Management (22 citations) and Issues, ethics and legal aspects (3 citations). Avijit Mitra has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Hong Yu, Zhichao Yang, Weisong Liu, Dan R. Berlowitz, Ragib Ahsan, David D. McManus, M. A. Basith, Md. Ziaur Rahman Khan, Philip O. Alderson and Jack Tsai. Their work appears in journals such as Nature Communications, Journal of Affective Disorders and RSC Advances.
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.