Suyog Dutt Jain
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Computer Science Applications top 10%
- Co-authors
- Kristen GraumanBo XiongJ.K. AggarwalChangbo HuDanna GurariAbigale StanglTom YehYan Zhang
- Topics
- Visual Attention and Saliency Detection (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Neural Network Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman Factors and ErgonomicsComputer Science Applications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceCancer Research
- Partner nations
- United StatesIndiaChina
In The Last Decade
Suyog Dutt Jain
15 papers receiving 533 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 434
- Artificial Intelligence 92
- Experimental and Cognitive Psychology 78
- Cognitive Neuroscience 61
- Computer Science Applications 38
Countries citing papers authored by Suyog Dutt Jain
This map shows the geographic impact of Suyog Dutt Jain'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 Suyog Dutt Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyog Dutt Jain more than expected).
Fields of papers citing papers by Suyog Dutt Jain
This network shows the impact of papers produced by Suyog Dutt Jain. 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 Suyog Dutt Jain. The network helps show where Suyog Dutt Jain may publish in the future.
Co-authorship network of co-authors of Suyog Dutt Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Suyog Dutt Jain. A scholar is included among the top collaborators of Suyog Dutt Jain 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 Suyog Dutt Jain. Suyog Dutt Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 40 | |
| 4 | 18 | |
| 5 | 203 | |
| 6 | 15 | |
| 7 | 64 | |
| 8 | 8 | |
| 9 | 25 | |
| 10 | 39 | |
| 11 | 25 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 90 | |
| 15 | 1 |
About Suyog Dutt Jain
Suyog Dutt Jain is a scholar working on Computer Vision and Pattern Recognition, Human Factors and Ergonomics and Occupational Therapy, having authored 15 papers that have together received 551 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Human Factors and Ergonomics (18 citations) and Computer Science Applications (38 citations). Suyog Dutt Jain has collaborated with scholars based in United States, India and China. Frequent co-authors include Kristen Grauman, Bo Xiong, J.K. Aggarwal, Changbo Hu, Danna Gurari, Abigale Stangl, Tom Yeh, Yan Zhang, Verónica Orvalho and Margrit Betke. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Research.
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.