Sunanda Das
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
-
- Digital Imaging for Blood Diseases 12
- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 4
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- Anomaly Detection Techniques and Applications 11
- Co-authors
- Hui Wang (2 shared papers)Abdullah G. Alharbi (1 shared paper)Mirza Mohd Shahriar Maswood (1 shared paper)Md. Tasnim Jawad (1 shared paper)Md. Kamrul Hasan (1 shared paper)Md. Ashraful Alam (1 shared paper)Shidhartho Roy (1 shared paper)Aishwariya Dutta (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (5 papers)IEEE Access (2 papers)Expert Systems with Applications (1 paper)Multimedia Tools and Applications (1 paper)BMJ Open (1 paper)
- Partner nations
- BangladeshIndiaUnited Kingdom
In The Last Decade
Sunanda Das
48 papers receiving 854 citations
Peers
Comparison fields: 5 of 123
- Neurology 163
- Human-Computer Interaction 77
- Computer Vision and Pattern Recognition 246
- Health Information Management 43
- Nutrition and Dietetics 118
Countries citing papers authored by Sunanda Das
This map shows the geographic impact of Sunanda 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 Sunanda Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunanda Das more than expected).
Fields of papers citing papers by Sunanda Das
This network shows the impact of papers produced by Sunanda 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 Sunanda Das. The network helps show where Sunanda Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunanda 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2017 | 129 | |
| 3 | 2022 | 104 | |
| 4 | 2021 | 101 | |
| 5 | 2021 | 74 | |
| 6 | 2011 | 37 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 28 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Sunanda Das
Sunanda Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Information Management, Endocrinology, Diabetes and Metabolism and Building and Construction, having authored 56 papers that have together received 904 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (12 papers), Anomaly Detection Techniques and Applications (11 papers), Artificial Intelligence in Healthcare (7 papers), Advanced Neural Network Applications (5 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Traffic Prediction and Management Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Neurology (163 citations), Human-Computer Interaction (77 citations), Computer Vision and Pattern Recognition (246 citations), Health Information Management (43 citations) and Nutrition and Dietetics (118 citations). Sunanda Das has collaborated with scholars based in Bangladesh, India and United Kingdom. Frequent co-authors include Hui Wang, Abdullah G. Alharbi, Mirza Mohd Shahriar Maswood, Md. Tasnim Jawad, Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, Aishwariya Dutta, Dakshina Ranjan Kisku and Nazmul Siddique. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Access, Expert Systems with Applications, Multimedia Tools and Applications and BMJ Open.
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.