Ajay Srinivasamurthy
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Music top 5%
- Co-authors
- Xavier SerraAndré HolzapfelYoussef OualilHartmut HelmkePetr MotlíčekGyörgy SzaszákIvan HimawanParag Chordia
- Topics
- Music and Audio Processing (21 papers)Music Technology and Sound Studies (16 papers)Speech and Audio Processing (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of the Acoustical Society of AmericaACM SIGIR Forum
- Partner nations
- SpainIndiaSwitzerland
In The Last Decade
Ajay Srinivasamurthy
25 papers receiving 256 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 212
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 98
- Cognitive Neuroscience 68
- Music 22
Countries citing papers authored by Ajay Srinivasamurthy
This map shows the geographic impact of Ajay Srinivasamurthy'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 Ajay Srinivasamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Srinivasamurthy more than expected).
Fields of papers citing papers by Ajay Srinivasamurthy
This network shows the impact of papers produced by Ajay Srinivasamurthy. 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 Ajay Srinivasamurthy. The network helps show where Ajay Srinivasamurthy may publish in the future.
Co-authorship network of co-authors of Ajay Srinivasamurthy
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Srinivasamurthy. A scholar is included among the top collaborators of Ajay Srinivasamurthy 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 Ajay Srinivasamurthy. Ajay Srinivasamurthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 40 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | Machine Learning of Controller Command Prediction Models from Recorded Radar Data and Controller Speech Utterances | 10 |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 16 | |
| 16 | 19 | |
| 17 | 18 | |
| 18 | 11 | |
| 19 | Multiple Viewpoint Modeling of North Indian Classical Vocal Compositions | 2 |
| 20 | 21 |
About Ajay Srinivasamurthy
Ajay Srinivasamurthy is a scholar working on Music, Signal Processing and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 274 indexed citations. Recurring topics across this work include Music and Audio Processing (21 papers), Music Technology and Sound Studies (16 papers) and Speech and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (212 citations), Music (22 citations) and Computer Vision and Pattern Recognition (132 citations). Ajay Srinivasamurthy has collaborated with scholars based in Spain, India and Switzerland. Frequent co-authors include Xavier Serra, André Holzapfel, Youssef Oualil, Hartmut Helmke, Petr Motlíček, György Szaszák, Ivan Himawan, Parag Chordia, Florian Krebs and Dietrich Klakow. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and ACM SIGIR Forum.
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.