V. Krishnan

401 citations
27 papers · 273 indexed · h-index 10

Impact in

Papers in

V. Krishnan

24 papers receiving 240 citations

Peers

V. Krishnan
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
Replace S.S. Lawson with:
S.S. Lawson United Kingdom
Heinz G. Göckler Germany
Tze‐Yun Sung Taiwan
B. Nowrouzian Canada
Chu Yu Taiwan
K.K. Pang Australia
Doru Florin Chiper Romania
Dean P. Kolba United States
Gagan Rath France
Tim Hentschel Germany
V. Krishnan relative to S.S. Lawson United Kingdom S.S. Lawson's profile →
Citations per field
00.5×12×
S.S. Lawson · 1×
Citations per year

Countries citing papers authored by V. Krishnan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with V. Krishnan Line = papers co-authored together V. Krishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20156
2
Study of Symmetric key Cryptography Algorithms
20159
3 20115
4 20102
5 20076
6 20062
7 20052
8 200513
9 20050
10 20052
11 2005105
12 200413
13 200413
14 20030
15 20031
16 20021
17 20017
18 20010
19 198715
20 196611

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.

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