Kumar Sricharan
Impact in
- Signal Processing top 5%
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Anomaly Detection Techniques and Applications 7
- Machine Learning and Algorithms 2
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- Distributed Sensor Networks and Detection Algorithms 5
- Network Security and Intrusion Detection 4
- Co-authors
- Alfred O. Hero (16 shared papers)Rama Chellappa (1 shared paper)Hui Ding (1 shared paper)Kamalika Das (1 shared paper)Hoshin V. Gupta (1 shared paper)Wei Gong (1 shared paper)Dawen Yang (1 shared paper)Anurag Ganguli (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 StatesChinaIndia
In The Last Decade
Kumar Sricharan
24 papers receiving 650 citations
Peers
Comparison fields: 5 of 91
- Signal Processing 130
- Computer Vision and Pattern Recognition 172
- Statistics and Probability 62
- Artificial Intelligence 214
- Computer Networks and Communications 112
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2016 | 102 | |
| 3 | 2013 | 95 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2013 | 31 | |
| 8 | Efficient anomaly detection using bipartite k-NN graphs | 2011 | 29 |
| 9 | 2012 | 26 | |
| 10 | 2017 | 24 | |
| 11 | 2006 | 21 | |
| 12 | 2018 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 8 | |
| 16 | 2010 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2011 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2013 | 4 |
About Kumar Sricharan
Kumar Sricharan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Statistics and Probability, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 24 papers that have together received 666 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Anomaly Detection Techniques and Applications (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Network Security and Intrusion Detection (4 papers), Data-Driven Disease Surveillance (3 papers), Control Systems and Identification (2 papers), Machine Learning and Algorithms (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Signal Processing (130 citations), Computer Vision and Pattern Recognition (172 citations), Statistics and Probability (62 citations), Artificial Intelligence (214 citations) and Computer Networks and Communications (112 citations). Kumar Sricharan has collaborated with scholars based in United States, China and India. Frequent co-authors include Alfred O. Hero, Rama Chellappa, Hui Ding, Kamalika Das, Hoshin V. Gupta, Wei Gong, Dawen Yang, Anurag Ganguli, Saigopal Nelaturi and Jonathan Rubin. 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.