Ashok Krishnamurthy

117 papers receiving 2.1k citations

Peers

Ashok Krishnamurthy
Comparison fields: 5 of 166
  • Signal Processing 494
  • Artificial Intelligence 919
  • Computer Vision and Pattern Recognition 558
  • Experimental and Cognitive Psychology 239
  • Health Informatics 16
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Citations per year

Countries citing papers authored by Ashok Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990436
2 1985218
3
A critical review of electroglottography.
1985151
4 1986128
5 1990106
6 201380
7 202162
8 199549
9 201944
10 201340
11 202139
12 201537
13 201237
14 199234
15 201631
16 199327
17 201927
18 200625
19 201423
20 202221

About Ashok Krishnamurthy

Ashok Krishnamurthy is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 126 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (16 papers), Phonetics and Phonology Research (10 papers), Music and Audio Processing (9 papers), Distributed and Parallel Computing Systems (9 papers), Scientific Computing and Data Management (8 papers), Neural Networks and Applications (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Signal Processing (494 citations), Artificial Intelligence (919 citations), Computer Vision and Pattern Recognition (558 citations), Experimental and Cognitive Psychology (239 citations) and Health Informatics (16 citations). Ashok Krishnamurthy has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Stanley C. Ahalt, D. G. Childers, Douglas E. Melton, Ümi̇t Özgüner, Vijay Gadepally, Siddharth Samsi, Rebecca Rutherford Kitzmiller, Metin N. Gürcan, Ashwin Machanavajjhala and Lawrence L. Feth. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the American Medical Informatics Association, Experimental Mechanics, IEEE Transactions on Speech and Audio Processing and JMIR Public Health and Surveillance.

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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