Siddharth Sigtia
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Music top 5%
- Co-authors
- Simon DixonEmmanouil BenetosPeter FosterMark D. PlumbleyNicolas Boulanger-LewandowskiErik MarchiJon BarkerJohn S. Bridle
- Topics
- Music and Audio Processing (10 papers)Speech and Audio Processing (9 papers)Speech Recognition and Synthesis (7 papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language ProcessingViewQueen Mary Research Online (Queen Mary University of London)
- Partner nations
- United KingdomCanadaIsrael
In The Last Decade
Siddharth Sigtia
12 papers receiving 397 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 385
- Computer Vision and Pattern Recognition 262
- Artificial Intelligence 116
- Cognitive Neuroscience 50
- Music 40
Countries citing papers authored by Siddharth Sigtia
This map shows the geographic impact of Siddharth Sigtia'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 Siddharth Sigtia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddharth Sigtia more than expected).
Fields of papers citing papers by Siddharth Sigtia
This network shows the impact of papers produced by Siddharth Sigtia. 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 Siddharth Sigtia. The network helps show where Siddharth Sigtia may publish in the future.
Co-authorship network of co-authors of Siddharth Sigtia
This figure shows the co-authorship network connecting the top 25 collaborators of Siddharth Sigtia. A scholar is included among the top collaborators of Siddharth Sigtia 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 Siddharth Sigtia. Siddharth Sigtia 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 | 2 | |
| 3 | 14 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | 52 | |
| 7 | 149 | |
| 8 | 25 | |
| 9 | 29 | |
| 10 | 45 | |
| 11 | 70 | |
| 12 | RNN-based Music Language Models for Improving Automatic Music Transcription | 3 |
| 13 | 8 |
About Siddharth Sigtia
Siddharth Sigtia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Speech and Audio Processing (9 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (385 citations), Music (40 citations) and Computer Vision and Pattern Recognition (262 citations). Siddharth Sigtia has collaborated with scholars based in United Kingdom, Canada and Israel. Frequent co-authors include Simon Dixon, Emmanouil Benetos, Peter Foster, Mark D. Plumbley, Nicolas Boulanger-Lewandowski, Erik Marchi, Jon Barker, John S. Bridle, Sacha Krstulović and Wenwu Wang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, View and Queen Mary Research Online (Queen Mary University of London).
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.