Sankhadeep Chatterjee
Impact in
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- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
- Image Enhancement Techniques
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- Medical Image Segmentation Techniques 5
- Currency Recognition and Detection 4
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- Imbalanced Data Classification Techniques 10
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 4
- Co-authors
- Nilanjan Dey (19 shared papers)Amira S. Ashour (11 shared papers)Sirshendu Hore (7 shared papers)Sarbartha Sarkar (7 shared papers)Soumya Sen (16 shared papers)Valentina Emilia Bălaş (3 shared papers)Shouvik Chakraborty (18 shared papers)Soumen Banerjee (23 shared papers)
In The Last Decade
Sankhadeep Chatterjee
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 341
- Software 56
- Health Information Management 48
- Artificial Intelligence 342
- Media Technology 69
Countries citing papers authored by Sankhadeep Chatterjee
This map shows the geographic impact of Sankhadeep Chatterjee'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 Sankhadeep Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankhadeep Chatterjee more than expected).
Fields of papers citing papers by Sankhadeep Chatterjee
This network shows the impact of papers produced by Sankhadeep Chatterjee. 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 Sankhadeep Chatterjee. The network helps show where Sankhadeep Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sankhadeep Chatterjee, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 209 | |
| 2 | 2017 | 62 | |
| 3 | 2016 | 60 | |
| 4 | 2016 | 52 | |
| 5 | 1997 | 39 | |
| 6 | 2016 | 36 | |
| 7 | 2018 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 26 | |
| 13 | 2020 | 25 | |
| 14 | 2017 | 25 | |
| 15 | 2017 | 24 | |
| 16 | 2017 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2017 | 22 | |
| 20 | 2021 | 19 |
About Sankhadeep Chatterjee
Sankhadeep Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Environmental Engineering, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (10 papers), Medical Image Segmentation Techniques (5 papers), Hydrological Forecasting Using AI (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Text and Document Classification Technologies (4 papers), Currency Recognition and Detection (4 papers), Retinal Imaging and Analysis (4 papers) and Water Quality Monitoring Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Software (56 citations), Health Information Management (48 citations), Artificial Intelligence (342 citations) and Media Technology (69 citations). Sankhadeep Chatterjee has collaborated with scholars based in India, Egypt and China. Frequent co-authors include Nilanjan Dey, Amira S. Ashour, Sirshendu Hore, Sarbartha Sarkar, Soumya Sen, Valentina Emilia Bălaş, Shouvik Chakraborty, Soumen Banerjee, Kalyani Mali and Dac‐Nhuong Le. Their work appears in journals such as Multimedia Tools and Applications, Die Naturwissenschaften, International Journal of Systems Science, IEEE Access and Soft Computing.
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.