Dipayan Das
Impact in
- Health Informatics top 2%
- 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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- CCD and CMOS Imaging Sensors 6
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- Infrared Target Detection Methodologies 5
- Co-authors
- KC Santosh (3 shared papers)Umapada Pal (4 shared papers)Danial Chitnis (1 shared paper)David R. S. Cumming (1 shared paper)Timothy D. Drysdale (1 shared paper)Steve Collins (5 shared papers)Palash Ghosal (1 shared paper)Debashis Nandi (1 shared paper)
- Journals
- Plasmonics (1 paper)Clinical Microbiology and Infection (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Physical and Engineering Sciences in Medicine (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Dipayan Das
20 papers receiving 436 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 53
- Radiology, Nuclear Medicine and Imaging 224
- Neurology 40
- Artificial Intelligence 127
- Health Information Management 16
Countries citing papers authored by Dipayan Das
This map shows the geographic impact of Dipayan Das'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 Dipayan Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipayan Das more than expected).
Fields of papers citing papers by Dipayan Das
This network shows the impact of papers produced by Dipayan Das. 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 Dipayan Das. The network helps show where Dipayan Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipayan Das, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 198 | |
| 2 | 2012 | 93 | |
| 3 | 2020 | 66 | |
| 4 | 2015 | 26 | |
| 5 | 2021 | 12 | |
| 6 | 2012 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2010 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2025 | 1 | |
| 19 | Design of a Single Microcontroller based 29-Channel Data Logging System | 2014 | 1 |
| 20 | 2010 | 1 |
About Dipayan Das
Dipayan Das is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Control and Systems Engineering, Infectious Diseases and Media Technology, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (6 papers), Infrared Target Detection Methodologies (5 papers), COVID-19 diagnosis using AI (3 papers), Image Processing Techniques and Applications (3 papers), Robot Manipulation and Learning (3 papers), Tuberculosis Research and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Health Informatics (53 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Neurology (40 citations), Artificial Intelligence (127 citations) and Health Information Management (16 citations). Dipayan Das has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include KC Santosh, Umapada Pal, Danial Chitnis, David R. S. Cumming, Timothy D. Drysdale, Steve Collins, Palash Ghosal, Debashis Nandi, Neha Upadhyay and Loïc Epelboin. Their work appears in journals such as Plasmonics, Clinical Microbiology and Infection, IEEE Transactions on Emerging Topics in Computing, Computer Methods and Programs in Biomedicine and Physical and Engineering Sciences in Medicine.
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.