Yeshwant K. Muthusamy
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Information Systems
- Co-authors
- Ronald A. ColeEtienne BarnardBeatrice T. OshikaMurali GopalakrishnanJerome T. ConnorRobert J. MarksLes AtlasNeelu Jain
- Topics
- Speech Recognition and Synthesis (12 papers)Speech and Audio Processing (7 papers)Natural Language Processing Techniques (7 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Yeshwant K. Muthusamy
21 papers receiving 620 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 638
- Signal Processing 425
- Computer Vision and Pattern Recognition 92
- Experimental and Cognitive Psychology 66
- Information Systems 34
Countries citing papers authored by Yeshwant K. Muthusamy
This map shows the geographic impact of Yeshwant K. Muthusamy'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 Yeshwant K. Muthusamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeshwant K. Muthusamy more than expected).
Fields of papers citing papers by Yeshwant K. Muthusamy
This network shows the impact of papers produced by Yeshwant K. Muthusamy. 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 Yeshwant K. Muthusamy. The network helps show where Yeshwant K. Muthusamy may publish in the future.
Co-authorship network of co-authors of Yeshwant K. Muthusamy
This figure shows the co-authorship network connecting the top 25 collaborators of Yeshwant K. Muthusamy. A scholar is included among the top collaborators of Yeshwant K. Muthusamy 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 Yeshwant K. Muthusamy. Yeshwant K. Muthusamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 41 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | Automatic language identification | 7 |
| 10 | 5 | |
| 11 | 171 | |
| 12 | 22 | |
| 13 | 20 | |
| 14 | 191 | |
| 15 | 4 | |
| 16 | A Segment-Based Automatic Language Identification System | 4 |
| 17 | 22 | |
| 18 | 86 | |
| 19 | 35 | |
| 20 | Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications | 37 |
About Yeshwant K. Muthusamy
Yeshwant K. Muthusamy is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 22 papers that have together received 730 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (7 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Signal Processing (425 citations), Artificial Intelligence (638 citations) and Experimental and Cognitive Psychology (66 citations). Yeshwant K. Muthusamy has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ronald A. Cole, Etienne Barnard, Beatrice T. Oshika, Murali Gopalakrishnan, Jerome T. Connor, Robert J. Marks, Les Atlas, Neelu Jain, Andrew Lippman and Kazuhiro Kondo. Their work appears in journals such as Proceedings of the IEEE, IEEE Signal Processing Magazine and IEEE Transactions on Haptics.
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.