Sriram Ganapathy
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Information Systems top 5%
- Co-authors
- Samuel ThomasHynek HeřmanskýDavid M. WeimerAhmed AllamAli ArsanjaniKerrie HolleySourobh GhoshNeeraj Kumar Sharma
- Topics
- Speech Recognition and Synthesis (99 papers)Speech and Audio Processing (98 papers)Music and Audio Processing (82 papers)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Sriram Ganapathy
146 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 1.3k
- Signal Processing 1.1k
- Computer Vision and Pattern Recognition 382
- Radiology, Nuclear Medicine and Imaging 271
- Information Systems 221
Countries citing papers authored by Sriram Ganapathy
This map shows the geographic impact of Sriram Ganapathy'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 Sriram Ganapathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Ganapathy more than expected).
Fields of papers citing papers by Sriram Ganapathy
This network shows the impact of papers produced by Sriram Ganapathy. 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 Sriram Ganapathy. The network helps show where Sriram Ganapathy may publish in the future.
Co-authorship network of co-authors of Sriram Ganapathy
This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Ganapathy. A scholar is included among the top collaborators of Sriram Ganapathy 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 Sriram Ganapathy. Sriram Ganapathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Context dependent RNNLM for automatic transcription of conversations | 1 |
| 13 | Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosisbreakdown → | 211 |
| 14 | 39 | |
| 15 | 8 | |
| 16 | 70 | |
| 17 | Spectro-temporal features for Automatic Speech Recognition using Linear Prediction in spectral domain | 6 |
| 18 | Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding | 5 |
| 19 | Scalable Wide-band Audio Codec based on Frequency Domain Linear Prediction | 4 |
| 20 | Improved ultrasonic nondestructive testing of pressure vessels | 18 |
About Sriram Ganapathy
Sriram Ganapathy is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 154 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (99 papers), Speech and Audio Processing (98 papers) and Music and Audio Processing (82 papers). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (1.3k citations) and Computer Graphics and Computer-Aided Design (136 citations). Sriram Ganapathy has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Samuel Thomas, Hynek Heřmanský, David M. Weimer, Ahmed Allam, Ali Arsanjani, Kerrie Holley, Sourobh Ghosh, Neeraj Kumar Sharma, Srikanth Raj Chetupalli and Shreyas Ramoji. Their work appears in journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Composite Structures.
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.