Srinivas Parthasarathy
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Carlos BussoVictor TarabykinA. E. RosenbergNajmeh SadoughiMohammed AbdelwahabEmily Mower ProvostSwathi SrivatsaAnjana Nityanandam
- Topics
- Speech Recognition and Synthesis (28 papers)Speech and Audio Processing (22 papers)Music and Audio Processing (13 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Srinivas Parthasarathy
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 684
- Signal Processing 535
- Experimental and Cognitive Psychology 420
- Molecular Biology 244
- Computer Vision and Pattern Recognition 173
Countries citing papers authored by Srinivas Parthasarathy
This map shows the geographic impact of Srinivas Parthasarathy'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 Srinivas Parthasarathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Parthasarathy more than expected).
Fields of papers citing papers by Srinivas Parthasarathy
This network shows the impact of papers produced by Srinivas Parthasarathy. 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 Srinivas Parthasarathy. The network helps show where Srinivas Parthasarathy may publish in the future.
Co-authorship network of co-authors of Srinivas Parthasarathy
This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Parthasarathy. A scholar is included among the top collaborators of Srinivas Parthasarathy 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 Srinivas Parthasarathy. Srinivas Parthasarathy 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 | 77 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 13 | |
| 8 | 48 | |
| 9 | 76 | |
| 10 | 20 | |
| 11 | 54 | |
| 12 | 15 | |
| 13 | 41 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 70 | |
| 20 | 2 |
About Srinivas Parthasarathy
Srinivas Parthasarathy is a scholar working on Signal Processing, Developmental Neuroscience and Artificial Intelligence, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (535 citations), Experimental and Cognitive Psychology (420 citations) and Developmental Neuroscience (130 citations). Srinivas Parthasarathy has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Carlos Busso, Victor Tarabykin, A. E. Rosenberg, Najmeh Sadoughi, Mohammed Abdelwahab, Emily Mower Provost, Swathi Srivatsa, Anjana Nityanandam, S.T. Nugent and Dilek Hakkani‐Tür. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.