Rohit Sinha
- Signal Processing top 0.5%
- Speech and Audio Processing 78
- Music and Audio Processing 43
- Blind Source Separation Techniques 10
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 82
- Natural Language Processing Techniques 14
- Speech and dialogue systems 6
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- Phonetics and Phonology Research 9
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- Advanced Data Compression Techniques 12
- Pharmacy top 10%
- Co-authors
- S. ShahnawazuddinS. R. Mahadeva PrasannaRohan Kumar DasS. UmeshMark GalesPhilip C. WoodlandS.E. TranterGayadhar Pradhan
- Journals
- IEEE Signal Processing Letters (5 papers)Speech Communication (4 papers)Computer Speech & Language (4 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Rohit Sinha
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Signal Processing 900
- Artificial Intelligence 946
- Experimental and Cognitive Psychology 112
- Computer Vision and Pattern Recognition 130
- Pharmacy 24
Countries citing papers authored by Rohit Sinha
This map shows the geographic impact of Rohit Sinha'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 Rohit Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Sinha more than expected).
Fields of papers citing papers by Rohit Sinha
This network shows the impact of papers produced by Rohit Sinha. 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 Rohit Sinha. The network helps show where Rohit Sinha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rohit Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 6 | |
| 4 | 2021 | 0 | |
| 5 | 2020 | 0 | |
| 6 | SpeechMarker: A Voice Based Multi-Level Attendance Application. | 2019 | 10 |
| 7 | 2018 | 10 | |
| 8 | 2018 | 0 | |
| 9 | AGROASSAM: A Web Based Assamese Speech Recognition Application for Retrieving Agricultural Commodity Price and Weather Information. | 2018 | 3 |
| 10 | 2018 | 8 | |
| 11 | 2017 | 64 | |
| 12 | 2017 | 0 | |
| 13 | 2017 | 15 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 3 | |
| 16 | On exploring the similarity and fusion of i-vector and sparse representation based speaker verification systems. | 2012 | 4 |
| 17 | 2012 | 23 | |
| 18 | 2012 | 34 | |
| 19 | 2007 | 21 | |
| 20 | 1984 | 4 |
About Rohit Sinha
Rohit Sinha is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (82 papers), Speech and Audio Processing (78 papers), Music and Audio Processing (43 papers), Natural Language Processing Techniques (14 papers), Advanced Data Compression Techniques (12 papers), Blind Source Separation Techniques (10 papers), Phonetics and Phonology Research (9 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Signal Processing (900 citations), Artificial Intelligence (946 citations) and Experimental and Cognitive Psychology (112 citations). Rohit Sinha has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include S. Shahnawazuddin, S. R. Mahadeva Prasanna, Rohan Kumar Das, S. Umesh, Mark Gales, Philip C. Woodland, S.E. Tranter, Gayadhar Pradhan, Hemant Kumar Kathania and Arundhati Misra. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication, Computer Speech & Language, International Journal of Speech Technology and IEEE Access.
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.