Bejoy Abraham
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 5
- Retinal Imaging and Analysis 3
- Retinopathy of Prematurity Studies 2
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- AI in cancer detection 8
- Co-authors
- Madhu S. Nair (8 shared papers)Jisha John (1 shared paper)Aswathy Ravikumar (1 shared paper)Sivakumar Ramachandran (1 shared paper)Elie G. Karam (1 shared paper)Y Regouby (1 shared paper)Vincent Guiyedi (1 shared paper)
In The Last Decade
Bejoy Abraham
16 papers receiving 433 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 295
- Artificial Intelligence 234
- Health Information Management 21
- Computer Vision and Pattern Recognition 99
Countries citing papers authored by Bejoy Abraham
This map shows the geographic impact of Bejoy Abraham'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 Bejoy Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bejoy Abraham more than expected).
Fields of papers citing papers by Bejoy Abraham
This network shows the impact of papers produced by Bejoy Abraham. 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 Bejoy Abraham. The network helps show where Bejoy Abraham may publish in the future.
Co-authors
The 7 scholars most cited alongside Bejoy Abraham, 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 | 2020 | 127 | |
| 2 | 2021 | 90 | |
| 3 | 2018 | 66 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 39 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 4 | |
| 12 | 2012 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2021 | 0 |
About Bejoy Abraham
Bejoy Abraham is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 18 papers that have together received 452 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers), Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Neural Network Applications (3 papers) and Retinopathy of Prematurity Studies (2 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (295 citations), Artificial Intelligence (234 citations), Health Information Management (21 citations) and Computer Vision and Pattern Recognition (99 citations). Bejoy Abraham has collaborated with scholars based in India and France. Frequent co-authors include Madhu S. Nair, Jisha John, Aswathy Ravikumar, Sivakumar Ramachandran, Elie G. Karam, Y Regouby and Vincent Guiyedi. Their work appears in journals such as Journal of Applied Biomedicine, Computerized Medical Imaging and Graphics, Journal of X-Ray Science and Technology, Computers in Biology and Medicine and Journal of Intelligent & Fuzzy Systems.
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.