Prashanth Gurunath Shivakumar

423 total citations
18 papers, 241 citations indexed

About

Prashanth Gurunath Shivakumar is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Prashanth Gurunath Shivakumar has authored 18 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Prashanth Gurunath Shivakumar's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (5 papers). Prashanth Gurunath Shivakumar is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (5 papers). Prashanth Gurunath Shivakumar collaborates with scholars based in United States, Taiwan and India. Prashanth Gurunath Shivakumar's co-authors include Panayiotis Georgiou, Arindam Jati, Md Nasir, Shrikanth Narayanan, Sungbok Lee, Alexandros Potamianos, Ivan Bulyko, Yile Gu, Ming Li and Ankur Gandhe and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and PeerJ Computer Science.

In The Last Decade

Prashanth Gurunath Shivakumar

16 papers receiving 220 citations

Peers

Prashanth Gurunath Shivakumar
Comparison fields: 5 of 52
  • Artificial Intelligence 131
  • Signal Processing 102
  • Experimental and Cognitive Psychology 96
  • Cognitive Neuroscience 44
  • Social Psychology 38
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Zahi N. Karam United States
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S. Lalitha India
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Citations per field, relative to Prashanth Gurunath Shivakumar
Prashanth Gurunath Shivakumar · 1×
Citations per year, relative to Prashanth Gurunath Shivakumar
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Countries citing papers authored by Prashanth Gurunath Shivakumar

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Gurunath Shivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashanth Gurunath Shivakumar. 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 Prashanth Gurunath Shivakumar. The network helps show where Prashanth Gurunath Shivakumar may publish in the future.

Co-authorship network of co-authors of Prashanth Gurunath Shivakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Gurunath Shivakumar. A scholar is included among the top collaborators of Prashanth Gurunath Shivakumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prashanth Gurunath Shivakumar. Prashanth Gurunath Shivakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 2
5 5
6 0
7 3
8 2
9 10
10 2
11 1
12 1
13 15
14 7
15 39
16 98
17 11
18
Improving speech recognition for children using acoustic adaptation and pronunciation modeling.
42

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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