S.L. Regunathan

1.5k citations
49 papers · 1.1k indexed · h-index 14

S.L. Regunathan

47 papers receiving 1.0k citations

Peers

S.L. Regunathan
Comparison fields: 5 of 38
  • Signal Processing 847
  • Computer Vision and Pattern Recognition 897
  • Computer Networks and Communications 189
  • Electrical and Electronic Engineering 276
  • Computer Graphics and Computer-Aided Design 14
Replace K. Stuhlmuller with:
K. Stuhlmuller Germany
Thomas Wedi Japan
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Joeri Barbarien Belgium
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S.L. Regunathan relative to K. Stuhlmuller Germany K. Stuhlmuller's profile →
Citations per field
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Citations per year

Countries citing papers authored by S.L. Regunathan

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Regunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside S.L. Regunathan, 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.L. Regunathan Line = papers co-authored together S.L. Regunathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200833
2 200753
3 200511
4 20053
5 20049
6 200381
7 20035
8 20035
9 200316
10 200335
11 20025
12 20024
13 20021
14 20029
15 20025
16
Compander Domain Approach to Scalable AAC
200110
17 200163
18 200126
19 200113
20
Optimal Prediction in Scalable Coding of Stereophonic Audio
20003

About S.L. Regunathan

S.L. Regunathan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Software and Human-Computer Interaction, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (38 papers), Video Coding and Compression Technologies (29 papers), Image and Signal Denoising Methods (10 papers), Image and Video Quality Assessment (10 papers), Digital Filter Design and Implementation (8 papers), Advanced Vision and Imaging (8 papers), Speech and Audio Processing (4 papers) and Error Correcting Code Techniques (4 papers). The work is most often cited by research in Signal Processing (847 citations), Computer Vision and Pattern Recognition (897 citations), Computer Networks and Communications (189 citations), Electrical and Electronic Engineering (276 citations) and Computer Graphics and Computer-Aided Design (14 citations). S.L. Regunathan has collaborated with scholars based in United States. Frequent co-authors include Kenneth Rose, J. Ribas-Corbera, Sridhar Srinivasan, Philip A. Chou, Chengjie Tu, Gary J. Sullivan, Ashish Aggarwal, Rui Zhang, Ertem Tuncel and Jie Liang. Their work appears in journals such as IEEE Transactions on Information Theory, Signal Processing Image Communication, IEEE Transactions on Image Processing, Journal of the Audio Engineering Society and IEEE Transactions on Audio Speech and Language 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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