Samrat Kumar Dey
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
-
- AI in cancer detection 7
- Internet Traffic Analysis and Secure E-voting 4
-
- Network Security and Intrusion Detection 8
- Co-authors
- Md. Mahbubur Rahman (10 shared papers)Khandaker Mohammad Mohi Uddin (14 shared papers)Umme Raihan Siddiqi (9 shared papers)Arpita Howlader (8 shared papers)Nafiz Imtiaz Khan (1 shared paper)T. M. Shahriar Sazzad (1 shared paper)Md Mahbubur Rahman (1 shared paper)Ashraf Hossain (1 shared paper)
- Journals
- IEEE Access (3 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)BMC Pregnancy and Childbirth (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- BangladeshBruneiSaudi Arabia
In The Last Decade
Samrat Kumar Dey
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Health Information Management 175
- Health Informatics 32
- Neurology 179
- Modeling and Simulation 68
- Artificial Intelligence 472
Countries citing papers authored by Samrat Kumar Dey
This map shows the geographic impact of Samrat Kumar Dey'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 Samrat Kumar Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samrat Kumar Dey more than expected).
Fields of papers citing papers by Samrat Kumar Dey
This network shows the impact of papers produced by Samrat Kumar Dey. 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 Samrat Kumar Dey. The network helps show where Samrat Kumar Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Samrat Kumar Dey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 158 | |
| 2 | 2020 | 115 | |
| 3 | 2020 | 113 | |
| 4 | 2023 | 70 | |
| 5 | 2022 | 61 | |
| 6 | 2018 | 51 | |
| 7 | 2019 | 46 | |
| 8 | 2019 | 41 | |
| 9 | 2022 | 34 | |
| 10 | 2024 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 26 | |
| 14 | 2022 | 25 | |
| 15 | 2024 | 25 | |
| 16 | 2023 | 23 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 12 | |
| 20 | 2018 | 11 |
About Samrat Kumar Dey
Samrat Kumar Dey is a scholar working on Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Health Information Management and Sociology and Political Science, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), AI in cancer detection (7 papers), COVID-19 epidemiological studies (6 papers), Artificial Intelligence in Healthcare (6 papers), Misinformation and Its Impacts (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Face recognition and analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Information Management (175 citations), Health Informatics (32 citations), Neurology (179 citations), Modeling and Simulation (68 citations) and Artificial Intelligence (472 citations). Samrat Kumar Dey has collaborated with scholars based in Bangladesh, Brunei and Saudi Arabia. Frequent co-authors include Md. Mahbubur Rahman, Khandaker Mohammad Mohi Uddin, Umme Raihan Siddiqi, Arpita Howlader, Nafiz Imtiaz Khan, T. M. Shahriar Sazzad, Md Mahbubur Rahman, Ashraf Hossain, Rafid Mostafiz and Dipanjali Kundu. Their work appears in journals such as IEEE Access, PLoS ONE, Scientific Reports, BMC Pregnancy and Childbirth and Multimedia Tools and Applications.
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.