T. Krishnan
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
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- Digital Filter Design and Implementation
Papers in
-
- Statistical Methods and Inference 9
- Advanced Statistical Methods and Models 6
- Statistical Methods and Bayesian Inference 3
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- Bayesian Methods and Mixture Models 6
- Neural Networks and Applications 2
- Co-authors
- Geoffrey John McLachlan (1 shared paper)James E. Gentle (1 shared paper)Subhas Chandra Nandy (2 shared papers)S. Oraintara (2 shared papers)B. Mohan Reddy (1 shared paper)Mohan Delampady (4 shared papers)Suman Kumar Swarnkar (1 shared paper)S.A.V. Satya Murty (2 shared papers)
- Journals
- Pattern Recognition (6 papers)Annals of Human Biology (2 papers)Psychometrika (1 paper)Annals of the Institute of Statistical Mathematics (1 paper)Biometrics (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
T. Krishnan
27 papers receiving 325 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 72
- Signal Processing 41
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 56
- Anatomy 3
Countries citing papers authored by T. Krishnan
This map shows the geographic impact of T. Krishnan'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 T. Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Krishnan more than expected).
Fields of papers citing papers by T. Krishnan
This network shows the impact of papers produced by T. Krishnan. 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 T. Krishnan. The network helps show where T. Krishnan may publish in the future.
Co-authors
The 10 scholars most cited alongside T. Krishnan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 208 | |
| 2 | 2003 | 15 | |
| 3 | 1988 | 14 | |
| 4 | 1994 | 13 | |
| 5 | 1990 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 1987 | 9 | |
| 8 | 1989 | 7 | |
| 9 | 2002 | 7 | |
| 10 | 1966 | 7 | |
| 11 | 2016 | 4 | |
| 12 | 1992 | 4 | |
| 13 | 2003 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 1997 | 3 | |
| 16 | 1973 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2001 | 3 | |
| 19 | 2014 | 2 | |
| 20 | 2015 | 2 |
About T. Krishnan
T. Krishnan is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 31 papers that have together received 338 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), IoT-based Smart Home Systems (4 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Data Compression Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistics and Probability (72 citations), Signal Processing (41 citations), Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (56 citations) and Anatomy (3 citations). T. Krishnan has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Geoffrey John McLachlan, James E. Gentle, Subhas Chandra Nandy, S. Oraintara, B. Mohan Reddy, Mohan Delampady, Suman Kumar Swarnkar, S.A.V. Satya Murty, Krishna Balasundaram Athreya and Nanjangud V. Anil Kumar. Their work appears in journals such as Pattern Recognition, Annals of Human Biology, Psychometrika, Annals of the Institute of Statistical Mathematics and Biometrics.
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.