Dolly Das
Impact in
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- Artificial Intelligence in Healthcare
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Retinal Imaging and Analysis 5
- COVID-19 diagnosis using AI 4
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- Retinal Diseases and Treatments 5
- Co-authors
- Saroj Kr. Biswas (11 shared papers)Sivaji Bandyopadhyay (5 shared papers)Biswajit Purkayastha (6 shared papers)Ankit Kesharwani (1 shared paper)Alexandre E. Escargueil (1 shared paper)Manomita Chakraborty (3 shared papers)Rabul Hussain Laskar (1 shared paper)Anita Das (1 shared paper)
- Journals
- Multimedia Tools and Applications (4 papers)International Journal of Imaging Systems and Technology (1 paper)Journal of Indian Business Research (1 paper)2022 3rd International Conference for Emerging Technology (INCET) (1 paper)2022 2nd International Conference on Intelligent Technologies (CONIT) (1 paper)
In The Last Decade
Dolly Das
14 papers receiving 283 citations
Peers
Comparison fields: 5 of 73
- Health Information Management 78
- Radiology, Nuclear Medicine and Imaging 177
- Ophthalmology 66
- Health Informatics 7
- Marketing 36
Countries citing papers authored by Dolly Das
This map shows the geographic impact of Dolly 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 Dolly Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolly Das more than expected).
Fields of papers citing papers by Dolly Das
This network shows the impact of papers produced by Dolly 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 Dolly Das. The network helps show where Dolly Das may publish in the future.
Co-authors
The 8 scholars most cited alongside Dolly 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2022 | 70 | |
| 3 | 2023 | 62 | |
| 4 | 2016 | 39 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 4 | |
| 9 | 2016 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 1 | |
| 14 | A Differential Evolutionary Approach to Solve the Hardware Software Partitioning Problem | 2014 | 1 |
About Dolly Das
Dolly Das is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Health Information Management and Artificial Intelligence, having authored 14 papers that have together received 306 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (5 papers), Digital Imaging for Blood Diseases (4 papers), COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare (3 papers), AI in cancer detection (2 papers), Customer Service Quality and Loyalty (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Health Information Management (78 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Ophthalmology (66 citations), Health Informatics (7 citations) and Marketing (36 citations). Dolly Das has collaborated with scholars based in India and France. Frequent co-authors include Saroj Kr. Biswas, Sivaji Bandyopadhyay, Biswajit Purkayastha, Ankit Kesharwani, Alexandre E. Escargueil, Manomita Chakraborty, Rabul Hussain Laskar and Anita Das. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Imaging Systems and Technology, Journal of Indian Business Research, 2022 3rd International Conference for Emerging Technology (INCET) and 2022 2nd International Conference on Intelligent Technologies (CONIT).
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.