V.J. Mathews

137 papers receiving 3.4k citations

Peers

V.J. Mathews
Comparison fields: 5 of 134
  • Signal Processing 1.4k
  • Computational Mechanics 1.6k
  • Computer Vision and Pattern Recognition 883
  • Control and Systems Engineering 758
  • Media Technology 281
Replace Maurice Bellanger with:
Maurice Bellanger France
Anthony George Constantinides United Kingdom
David Wipf United States
Yagyensh C. Pati United States
J.C.M. Bermudez Brazil
Paulo S. R. Diniz Brazil
Wei‐Ping Zhu Canada
Ignacio Santamaria Spain
Saeed Gazor Canada
Igor Djurović Montenegro
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Citations per year

Countries citing papers authored by V.J. Mathews

Since Specialization
Citations

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

Fields of papers citing papers by V.J. Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.J. Mathews. 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.J. Mathews. The network helps show where V.J. Mathews may publish in the future.

Co-authors

The 25 scholars most cited alongside V.J. Mathews, 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.J. Mathews Line = papers co-authored together V.J. Mathews links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000616
2
Polynomial Signal Processing
2000541
3 1991430
4 1993305
5 1987244
6 199394
7 200860
8 199056
9 201845
10 201645
11 200641
12 201940
13 201940
14 199438
15 198333
16 199832
17 199131
18 200529
19 199329
20 199628

About V.J. Mathews

V.J. Mathews is a scholar working on Signal Processing, Computational Mechanics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 149 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (59 papers), Blind Source Separation Techniques (34 papers), Control Systems and Identification (31 papers), Speech and Audio Processing (23 papers), Image and Signal Denoising Methods (18 papers), Muscle activation and electromyography studies (15 papers), Structural Health Monitoring Techniques (14 papers) and Advanced Data Compression Techniques (13 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computational Mechanics (1.6k citations), Computer Vision and Pattern Recognition (883 citations), Control and Systems Engineering (758 citations) and Media Technology (281 citations). V.J. Mathews has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Giovanni L. Sicuranza, Giovanni Ramponi, Andrea Polesel, Zhong Xie, Sung Ho Cho, Junghsi Lee, M.A. Syed, Alberto Carini, Ashutosh Pandey and Gregory A. Clark. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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