Kumar Sricharan
Impact in
- Statistics and Probability top 5%
- Probability and Statistical Research
- Statistical Methods and Inference
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
Papers in
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- Statistical Methods and Inference 8
- Probability and Statistical Research 5
- Statistical Methods and Applications 4
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- Statistical Mechanics and Entropy 3
- Complex Network Analysis Techniques 2
- Co-authors
- Alfred O. Hero (15 shared papers)Hui Ding (1 shared paper)Rama Chellappa (1 shared paper)Kamalika Das (1 shared paper)Wei Gong (1 shared paper)Dawen Yang (1 shared paper)Hoshin V. Gupta (1 shared paper)Jonathan Rubin (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (3 papers)AI Magazine (1 paper)Water Resources Research (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Entropy (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Kumar Sricharan
22 papers receiving 742 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 100
- Computer Vision and Pattern Recognition 170
- Statistical and Nonlinear Physics 76
- Artificial Intelligence 181
- Signal Processing 40
Countries citing papers authored by Kumar Sricharan
This map shows the geographic impact of Kumar Sricharan'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 Kumar Sricharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Sricharan more than expected).
Fields of papers citing papers by Kumar Sricharan
This network shows the impact of papers produced by Kumar Sricharan. 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 Kumar Sricharan. The network helps show where Kumar Sricharan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Sricharan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 160 | |
| 2 | 2016 | 111 | |
| 3 | 2013 | 103 | |
| 4 | 2014 | 60 | |
| 5 | 2015 | 52 | |
| 6 | 2016 | 44 | |
| 7 | 2013 | 40 | |
| 8 | Efficient anomaly detection using bipartite k-NN graphs | 2011 | 31 |
| 9 | 2012 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2006 | 22 | |
| 12 | 2016 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 11 | |
| 15 | 2010 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2021 | 5 | |
| 19 | A local dependence measure and its application to screening for high correlations in large data sets | 2011 | 4 |
| 20 | 2013 | 4 |
About Kumar Sricharan
Kumar Sricharan is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 755 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Anomaly Detection Techniques and Applications (7 papers), Probability and Statistical Research (5 papers), Statistical Methods and Applications (4 papers), Statistical Mechanics and Entropy (3 papers), Complex Network Analysis Techniques (2 papers), Biometric Identification and Security (1 paper) and Hydrology and Watershed Management Studies (1 paper). The work is most often cited by research in Statistics and Probability (100 citations), Computer Vision and Pattern Recognition (170 citations), Statistical and Nonlinear Physics (76 citations), Artificial Intelligence (181 citations) and Signal Processing (40 citations). Kumar Sricharan has collaborated with scholars based in United States, India and China. Frequent co-authors include Alfred O. Hero, Hui Ding, Rama Chellappa, Kamalika Das, Wei Gong, Dawen Yang, Hoshin V. Gupta, Jonathan Rubin, Anurag Ganguli and Ion Matei. Their work appears in journals such as IEEE Transactions on Information Theory, AI Magazine, Water Resources Research, IEEE Transactions on Information Forensics and Security and Entropy.
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.