Sukhendu Das
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Ocean Engineering top 2%
- Environmental Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Koshy VargheseT. T. MirnalineeSuranjana SamantaSamik BanerjeeChiranjoy ChattopadhyayLalit GuptaB. RamamoorthyK. Swaminathan
- Topics
- Advanced Image and Video Retrieval Techniques (20 papers)Face and Expression Recognition (18 papers)Face recognition and analysis (16 papers)
- Journals
- International Journal of Molecular SciencesIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Sukhendu Das
86 papers receiving 983 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 552
- Media Technology 212
- Ocean Engineering 210
- Environmental Engineering 187
- Artificial Intelligence 169
Countries citing papers authored by Sukhendu Das
This map shows the geographic impact of Sukhendu 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 Sukhendu Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhendu Das more than expected).
Fields of papers citing papers by Sukhendu Das
This network shows the impact of papers produced by Sukhendu 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 Sukhendu Das. The network helps show where Sukhendu Das may publish in the future.
Co-authorship network of co-authors of Sukhendu Das
This figure shows the co-authorship network connecting the top 25 collaborators of Sukhendu Das. A scholar is included among the top collaborators of Sukhendu Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sukhendu Das. Sukhendu Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 50 | |
| 8 | 12 | |
| 9 | Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks | 18 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | Unsupervised Segmentation of Texture Images Using a Combination of Gabor and Wavelet Features. | 9 |
| 18 | An Architecture for Real Time Face Recognition using WMPCA | 4 |
| 19 | 25 | |
| 20 | 6 |
About Sukhendu Das
Sukhendu Das is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 91 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Face and Expression Recognition (18 papers) and Face recognition and analysis (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (552 citations), Media Technology (212 citations) and Signal Processing (167 citations). Sukhendu Das has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Koshy Varghese, T. T. Mirnalinee, Suranjana Samanta, Samik Banerjee, Chiranjoy Chattopadhyay, Lalit Gupta, B. Ramamoorthy, K. Swaminathan, V. Kamakoti and Renu Sharma. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.