S.K. Mitra

9.5k citations
283 papers · 6.7k indexed · h-index 38

S.K. Mitra

263 papers receiving 6.1k citations

Peers

S.K. Mitra
Comparison fields: 5 of 151
  • Signal Processing 3.6k
  • Computer Vision and Pattern Recognition 3.5k
  • Computational Mechanics 1.9k
  • Media Technology 678
  • Computational Theory and Mathematics 409
Replace M.N.S. Swamy with:
M.N.S. Swamy Canada
Y. Neuvo Finland
James H. McClellan United States
Soo‐Chang Pei Taiwan
B. V. K. Vijaya Kumar United States
A.N. Venetsanopoulos Canada
R.M. Mersereau United States
M. Omair Ahmad Canada
H.S. Malvar United States
Rémi Gribonval France
S.K. Mitra relative to M.N.S. Swamy Canada M.N.S. Swamy's profile →
Citations per field
00.5×1.5×2.0×
M.N.S. Swamy · 1×
Citations per year

Countries citing papers authored by S.K. Mitra

Since Specialization
Citations

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

Fields of papers citing papers by S.K. Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.K. Mitra. 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 S.K. Mitra. The network helps show where S.K. Mitra may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20122
3
More on topological quasi-vector space
20102
4 20082
5 20073
6 200637
7 20041
8
False Color Suppression in Demosaiced Color Images.
20041
9 2004100
10 200431
11 20046
12 200222
13 200120
14 19991
15 199724
16 1995358
17
Active RC crossover networks with adjustable characteristics
19873
18 198728
19
Tunable Active Crossover Networks
198512
20 19790

About S.K. Mitra

S.K. Mitra is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology and Computational Theory and Mathematics, having authored 283 papers that have together received 6.7k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (106 papers), Image and Signal Denoising Methods (95 papers), Advanced Adaptive Filtering Techniques (65 papers), Advanced Data Compression Techniques (46 papers), Analog and Mixed-Signal Circuit Design (39 papers), Advanced Image Processing Techniques (26 papers), Blind Source Separation Techniques (24 papers) and Image Enhancement Techniques (22 papers). The work is most often cited by research in Signal Processing (3.6k citations), Computer Vision and Pattern Recognition (3.5k citations), Computational Mechanics (1.9k citations), Media Technology (678 citations) and Computational Theory and Mathematics (409 citations). S.K. Mitra has collaborated with scholars based in United States, Brazil and Finland. Frequent co-authors include P. P. Vaidyanathan, Y. Neuvo, P.A. Regalia, E. Abreu, Zhihai He, S. Parker, G.A. Clark, M. Lightstone, Antonio Petraglia and B.S. Manjunath. Their work appears in journals such as Signal Processing, Journal of the Franklin Institute, Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Image 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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