Sankalp Gulati
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Music top 2%
- Artificial Intelligence
- Co-authors
- Xavier SerraJustin SalamonPerfecto HerreraEmília GómezNicolas WackDmitry BogdanovJosé R. ZapataGerard Roma
- Topics
- Music and Audio Processing (25 papers)Music Technology and Sound Studies (20 papers)Neuroscience and Music Perception (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Signal Processing MagazineJournal of New Music Research
In The Last Decade
Sankalp Gulati
26 papers receiving 524 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 537
- Computer Vision and Pattern Recognition 404
- Cognitive Neuroscience 206
- Music 65
- Artificial Intelligence 58
Countries citing papers authored by Sankalp Gulati
This map shows the geographic impact of Sankalp Gulati'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 Sankalp Gulati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankalp Gulati more than expected).
Fields of papers citing papers by Sankalp Gulati
This network shows the impact of papers produced by Sankalp Gulati. 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 Sankalp Gulati. The network helps show where Sankalp Gulati may publish in the future.
Co-authorship network of co-authors of Sankalp Gulati
This figure shows the co-authorship network connecting the top 25 collaborators of Sankalp Gulati. A scholar is included among the top collaborators of Sankalp Gulati 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 Sankalp Gulati. Sankalp Gulati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 23 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | ESSENTIA: an open source library for audio analysis | 5 |
| 9 | 33 | |
| 10 | Towards Alignment of Score and Audio Recordings of Ottoman-Turkish Makam Music | 3 |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 160 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | A TWO-STAGE APPROACH FOR TONIC IDENTIFICATION IN INDIAN ART MUSIC | 8 |
| 17 | 33 | |
| 18 | 8 | |
| 19 | 26 | |
| 20 | 5 |
About Sankalp Gulati
Sankalp Gulati is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 579 indexed citations. Recurring topics across this work include Music and Audio Processing (25 papers), Music Technology and Sound Studies (20 papers) and Neuroscience and Music Perception (14 papers). The work is most often cited by research in Signal Processing (537 citations), Music (65 citations) and Computer Vision and Pattern Recognition (404 citations). Sankalp Gulati has collaborated with scholars based in Spain, India and Sri Lanka. Frequent co-authors include Xavier Serra, Justin Salamon, Perfecto Herrera, Emília Gómez, Nicolas Wack, Dmitry Bogdanov, José R. Zapata, Gerard Roma, Óscar Mayor and Preeti Rao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and Journal of New Music 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.