T.V. Sreenivas

1.4k citations
130 papers · 1.0k · h-index 17

Impact in

Papers in

    • Speech and Audio Processing 73
    • Music and Audio Processing 30
    • Blind Source Separation Techniques 28
    • Digital Filter Design and Implementation 14
    • Advanced Data Compression Techniques 29
    • Image and Signal Denoising Methods 28

T.V. Sreenivas

110 papers receiving 938 citations

Peers

T.V. Sreenivas
Comparison fields: 5 of 74
  • Signal Processing 727
  • Computer Vision and Pattern Recognition 417
  • Computational Mechanics 266
  • Artificial Intelligence 310
  • Developmental Biology 13
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Citations per field
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Citations per year

Countries citing papers authored by T.V. Sreenivas

Since Specialization
Citations

This map shows the geographic impact of T.V. Sreenivas'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 T.V. Sreenivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.V. Sreenivas more than expected).

Fields of papers citing papers by T.V. Sreenivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199672
2 200366
3 200966
4 199255
5 197953
6 201140
7 201835
8 200432
9 200629
10 200827
11 198027
12 200521
13 197919
14 200318
15 200318
16 200517
17 200216
18 200216
19 200716
20 200615

About T.V. Sreenivas

T.V. Sreenivas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Cognitive Neuroscience, having authored 130 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (73 papers), Music and Audio Processing (30 papers), Advanced Data Compression Techniques (29 papers), Blind Source Separation Techniques (28 papers), Image and Signal Denoising Methods (28 papers), Advanced Adaptive Filtering Techniques (27 papers), Speech Recognition and Synthesis (27 papers) and Digital Filter Design and Implementation (14 papers). The work is most often cited by research in Signal Processing (727 citations), Computer Vision and Pattern Recognition (417 citations), Computational Mechanics (266 citations), Artificial Intelligence (310 citations) and Developmental Biology (13 citations). T.V. Sreenivas has collaborated with scholars based in India, United States and Germany. Frequent co-authors include P. V. Rao, Saikat Chatterjee, W. Bastiaan Kleijn, Russell J. Niederjohn, Nishanth Ulhas Nair, V. Ramasubramanian, Chandra Sekhar Seelamantula, Abhijit Sarkar, Neeraj Kumar Sharma and Srikanth Raj Chetupalli. Their work appears in journals such as Signal Processing, IEEE Signal Processing Letters, The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society and IEEE Transactions on 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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