M. Vishwanath

1.2k citations
26 papers · 802 indexed · h-index 10
Topics
Image and Signal Denoising Methods (15 papers)Advanced Data Compression Techniques (13 papers)Digital Filter Design and Implementation (10 papers)
Journals
IEEE Transactions on Signal ProcessingInternational Journal of Engineering Trends and TechnologyRare & Special e-Zone (The Hong Kong University of Science and Technology)

In The Last Decade

M. Vishwanath

23 papers receiving 728 citations

Peers

M. Vishwanath
Comparison fields: 5 of 40
  • Computer Vision and Pattern Recognition 708
  • Signal Processing 496
  • Media Technology 143
  • Electrical and Electronic Engineering 50
  • Applied Mathematics 36
Replace Bryan Usevitch with:
Bryan Usevitch United States
Jingjing Fu China
Sean O’Neil United States
Michael D. Adams Canada
K. Nayebi United States
Member Eurasip Switzerland
M.N.S. Swamy Canada
Yukihiko Yamashita Japan
Truong Thao Nguyen Japan
X.-G. Xia United States
M. Vishwanath relative to Bryan Usevitch United States Bryan Usevitch's profile →
Citations per field
00.5×3.3×
Bryan Usevitch · 1×
Citations per year

Countries citing papers authored by M. Vishwanath

Since Specialization
Citations

This map shows the geographic impact of M. Vishwanath'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 M. Vishwanath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vishwanath more than expected).

Fields of papers citing papers by M. Vishwanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Vishwanath. 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 M. Vishwanath. The network helps show where M. Vishwanath may publish in the future.

Co-authorship network of co-authors of M. Vishwanath

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vishwanath. A scholar is included among the top collaborators of M. Vishwanath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Vishwanath. M. Vishwanath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 8
5 5
6 10
7 9
8 33
9 12
10 0
11 0
12 3
13 6
14 1
15 122
16 170
17 227
18 146
19
Time-frequency distributions: complexity, algorithms and architectures
10
20 2

About M. Vishwanath

M. Vishwanath is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 26 papers that have together received 802 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Advanced Data Compression Techniques (13 papers) and Digital Filter Design and Implementation (10 papers). The work is most often cited by research in Signal Processing (496 citations), Computer Vision and Pattern Recognition (708 citations) and Media Technology (143 citations). M. Vishwanath has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include R.M. Owens, Chaitali Chakrabarti, M.J. Irwin, Philip A. Chou, C. Chakrabarti, N. Chaddha, Manjit Borah, Daniel Greene, Tong Zhang and Fang Yao. Their work appears in journals such as IEEE Transactions on Signal Processing, International Journal of Engineering Trends and Technology and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026