Pranjal Kumar Bora
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 3
- Explainable Artificial Intelligence (XAI) 2
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- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 2
- Protein Structure and Dynamics 1
- Genomics and Phylogenetic Studies 1
- Co-authors
- Bilal Alataş (3 shared papers)Afshin Shoeibi (3 shared papers)Ammar Almasri (3 shared papers)Rami S. Alkhawaldeh (3 shared papers)Rizwan Rehman (4 shared papers)Mehmet Akif Çifçi (3 shared papers)Samina Kausar (3 shared papers)Saeid Nahavandi (3 shared papers)
- Journals
- Computers & Electrical Engineering (1 paper)Indian Journal of Science and Technology (1 paper)Gene Reports (1 paper)SSRN Electronic Journal (1 paper)Asian Journal of Biological and Life Sciences (1 paper)
In The Last Decade
Pranjal Kumar Bora
6 papers receiving 201 citations
Pranjal Kumar Bora's Hit Papers
Peers
Comparison fields: 5 of 61
- Health Informatics 43
- Health Information Management 14
- Artificial Intelligence 69
- Radiology, Nuclear Medicine and Imaging 31
- Emergency Medicine 5
Countries citing papers authored by Pranjal Kumar Bora
This map shows the geographic impact of Pranjal Kumar Bora'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 Pranjal Kumar Bora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranjal Kumar Bora more than expected).
Fields of papers citing papers by Pranjal Kumar Bora
This network shows the impact of papers produced by Pranjal Kumar Bora. 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 Pranjal Kumar Bora. The network helps show where Pranjal Kumar Bora may publish in the future.
Co-authors
The 15 scholars most cited alongside Pranjal Kumar Bora, 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 | A review of Explainable Artificial Intelligence in healthcare Hit paper breakdown → | 2024 | 181 |
| 2 | 2023 | 20 | |
| 3 | 2020 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2022 | 0 |
About Pranjal Kumar Bora
Pranjal Kumar Bora is a scholar working on Artificial Intelligence, Molecular Biology, Health Informatics, Management Information Systems and Neurology, having authored 8 papers that have together received 206 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), RNA and protein synthesis mechanisms (2 papers), Machine Learning in Bioinformatics (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Protein Structure and Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (14 citations), Artificial Intelligence (69 citations), Radiology, Nuclear Medicine and Imaging (31 citations) and Emergency Medicine (5 citations). Pranjal Kumar Bora has collaborated with scholars based in India, Türkiye and Australia. Frequent co-authors include Bilal Alataş, Afshin Shoeibi, Ammar Almasri, Rami S. Alkhawaldeh, Rizwan Rehman, Mehmet Akif Çifçi, Samina Kausar, Saeid Nahavandi, Sadiq Hussain and Priyakshi Mahanta. Their work appears in journals such as Computers & Electrical Engineering, Indian Journal of Science and Technology, Gene Reports, SSRN Electronic Journal and Asian Journal of Biological and Life Sciences.
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.