Sumeet Saurav
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience
- Co-authors
- Ravi SainiSanjay Kumar SinghSanjay SinghAyush SharmaAnil SainiAruna TiwariHimanshu SharmaRajeev Ranjan Kumar
- Topics
- Face and Expression Recognition (12 papers)Emotion and Mood Recognition (10 papers)Anomaly Detection Techniques and Applications (10 papers)
In The Last Decade
Sumeet Saurav
44 papers receiving 507 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 319
- Artificial Intelligence 145
- Experimental and Cognitive Psychology 135
- Human-Computer Interaction 63
- Cognitive Neuroscience 51
Countries citing papers authored by Sumeet Saurav
This map shows the geographic impact of Sumeet Saurav'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 Sumeet Saurav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumeet Saurav more than expected).
Fields of papers citing papers by Sumeet Saurav
This network shows the impact of papers produced by Sumeet Saurav. 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 Sumeet Saurav. The network helps show where Sumeet Saurav may publish in the future.
Co-authorship network of co-authors of Sumeet Saurav
This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Saurav. A scholar is included among the top collaborators of Sumeet Saurav 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 Sumeet Saurav. Sumeet Saurav 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 | 23 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 53 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | Designs for sensory trials involving foods of animal origin | 1 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 13 |
About Sumeet Saurav
Sumeet Saurav is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 52 papers that have together received 535 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Emotion and Mood Recognition (10 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Human-Computer Interaction (63 citations) and Experimental and Cognitive Psychology (135 citations). Sumeet Saurav has collaborated with scholars based in India, Hungary and Taiwan. Frequent co-authors include Ravi Saini, Sanjay Kumar Singh, Sanjay Singh, Ayush Sharma, Anil Saini, Aruna Tiwari, Himanshu Sharma, Rajeev Ranjan Kumar, Chandra Shekhar and Dinesh C. Gupta. Their work appears in journals such as IEEE Access, Neurocomputing and IEEE Transactions on Instrumentation and Measurement.
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.