V. Krishnan
Impact in
- Signal Processing top 5%
- Digital Filter Design and Implementation
- Speech and Audio Processing
- Blind Source Separation Techniques
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
Papers in
-
- Digital Filter Design and Implementation 11
- Speech and Audio Processing 8
-
- Advanced Data Compression Techniques 17
- Image and Signal Denoising Methods 6
- Co-authors
- David V. AndersonViktor K. PrasannaWasfy B. MikhaelHoon YooE. N. GaneshVenkatraman AttiИмре ВaргaLei Miao
- Journals
- Electronics Letters (2 papers)IEEE Transactions on Speech and Audio Processing (1 paper)IEEE Transactions on Automatic Control (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Digital Signal Processing (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
V. Krishnan
24 papers receiving 240 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 187
- Computer Vision and Pattern Recognition 124
- Computational Mechanics 115
- Computational Theory and Mathematics 40
- Hardware and Architecture 13
Countries citing papers authored by V. Krishnan
This map shows the geographic impact of V. 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 V. Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Krishnan more than expected).
Fields of papers citing papers by V. Krishnan
This network shows the impact of papers produced by V. 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 V. Krishnan. The network helps show where V. Krishnan may publish in the future.
Co-authors
The 16 scholars most cited alongside V. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 6 | |
| 2 | Study of Symmetric key Cryptography Algorithms | 2015 | 9 |
| 3 | 2011 | 5 | |
| 4 | 2010 | 2 | |
| 5 | 2007 | 6 | |
| 6 | 2006 | 2 | |
| 7 | 2005 | 2 | |
| 8 | 2005 | 13 | |
| 9 | 2005 | 0 | |
| 10 | 2005 | 2 | |
| 11 | 2005 | 105 | |
| 12 | 2004 | 13 | |
| 13 | 2004 | 13 | |
| 14 | 2003 | 0 | |
| 15 | 2003 | 1 | |
| 16 | 2002 | 1 | |
| 17 | 2001 | 7 | |
| 18 | 2001 | 0 | |
| 19 | 1987 | 15 | |
| 20 | 1966 | 11 |
About V. Krishnan
V. Krishnan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 27 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (17 papers), Digital Filter Design and Implementation (11 papers), Speech and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (8 papers), Image and Signal Denoising Methods (6 papers), Analog and Mixed-Signal Circuit Design (4 papers), Advanced Wireless Communication Techniques (2 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Vision and Pattern Recognition (124 citations), Computational Mechanics (115 citations), Computational Theory and Mathematics (40 citations) and Hardware and Architecture (13 citations). V. Krishnan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David V. Anderson, Viktor K. Prasanna, Wasfy B. Mikhael, Hoon Yoo, E. N. Ganesh, Venkatraman Atti, Имре Вaргa, Lei Miao, Christopher Duffy and Xingtao Zhang. Their work appears in journals such as Electronics Letters, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems I Regular Papers and Digital Signal Processing.
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.