Sanjoy Kumar Saha
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 10%
- Co-authors
- Sayan DasManosij GhoshBhabatosh ChandaSiddhartha BanerjeePravash Chandra ChakrabortiRudrasis ChakrabortyBibhas Chandra DharaAmit Das
- Topics
- Music and Audio Processing (11 papers)Speech and Audio Processing (8 papers)Video Analysis and Summarization (6 papers)
- Partner nations
- India
In The Last Decade
Sanjoy Kumar Saha
25 papers receiving 284 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 139
- Artificial Intelligence 92
- Signal Processing 52
- Radiology, Nuclear Medicine and Imaging 48
- Media Technology 34
Countries citing papers authored by Sanjoy Kumar Saha
This map shows the geographic impact of Sanjoy Kumar Saha'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 Sanjoy Kumar Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjoy Kumar Saha more than expected).
Fields of papers citing papers by Sanjoy Kumar Saha
This network shows the impact of papers produced by Sanjoy Kumar Saha. 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 Sanjoy Kumar Saha. The network helps show where Sanjoy Kumar Saha may publish in the future.
Co-authorship network of co-authors of Sanjoy Kumar Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjoy Kumar Saha. A scholar is included among the top collaborators of Sanjoy Kumar Saha 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 Sanjoy Kumar Saha. Sanjoy Kumar Saha 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 | 46 | |
| 3 | 24 | |
| 4 | 59 | |
| 5 | 5 | |
| 6 | 44 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | Named Entity Recognition from Tweets. | 2 |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | Image Retrieval Using Relevance Feedback Based on Mann-Whitney Test. | 1 |
About Sanjoy Kumar Saha
Sanjoy Kumar Saha is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 304 indexed citations. Recurring topics across this work include Music and Audio Processing (11 papers), Speech and Audio Processing (8 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Signal Processing (52 citations) and Health Information Management (19 citations). Sanjoy Kumar Saha has collaborated with scholars based in India. Frequent co-authors include Sayan Das, Manosij Ghosh, Bhabatosh Chanda, Siddhartha Banerjee, Pravash Chandra Chakraborti, Rudrasis Chakraborty, Bibhas Chandra Dhara, Amit Das, Nabanita Mukherjee and Pradipta Maji. Their work appears in journals such as Pattern Recognition Letters, Measurement and Multimedia Tools and Applications.
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.