Vimal Manohar
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
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- Speech Recognition and Synthesis 26
- Natural Language Processing Techniques 11
- Speech and dialogue systems 2
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- Music and Audio Processing 13
- Speech and Audio Processing 12
- Co-authors
- Sanjeev Khudanpur (21 shared papers)Daniel Povey (16 shared papers)Pegah Ghahremani (6 shared papers)Vijayaditya Peddinti (5 shared papers)Xingyu Na (1 shared paper)Yiming Wang (1 shared paper)Daniel Gálvez (1 shared paper)Hossein Hadian (3 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Figshare (1 paper)
- Partner nations
- United StatesGreeceChina
In The Last Decade
Vimal Manohar
26 papers receiving 932 citations
Vimal Manohar's Hit Papers
Peers
Comparison fields: 5 of 68
- Signal Processing 749
- Artificial Intelligence 1.0k
- Experimental and Cognitive Psychology 48
- Computer Vision and Pattern Recognition 49
- Hardware and Architecture 13
Countries citing papers authored by Vimal Manohar
This map shows the geographic impact of Vimal Manohar'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 Vimal Manohar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vimal Manohar more than expected).
Fields of papers citing papers by Vimal Manohar
This network shows the impact of papers produced by Vimal Manohar. 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 Vimal Manohar. The network helps show where Vimal Manohar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vimal Manohar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI Hit paper breakdown → | 2016 | 458 |
| 2 | 2018 | 115 | |
| 3 | 2017 | 67 | |
| 4 | 2015 | 57 | |
| 5 | 2016 | 45 | |
| 6 | 2017 | 40 | |
| 7 | 2018 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2018 | 29 | |
| 11 | 2016 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2014 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2016 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2018 | 8 |
About Vimal Manohar
Vimal Manohar is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (26 papers), Music and Audio Processing (13 papers), Speech and Audio Processing (12 papers), Natural Language Processing Techniques (11 papers), Phonetics and Phonology Research (2 papers), Geophysical Methods and Applications (2 papers), Fault Detection and Control Systems (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (749 citations), Artificial Intelligence (1.0k citations), Experimental and Cognitive Psychology (48 citations), Computer Vision and Pattern Recognition (49 citations) and Hardware and Architecture (13 citations). Vimal Manohar has collaborated with scholars based in United States, Greece and China. Frequent co-authors include Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, Vijayaditya Peddinti, Xingyu Na, Yiming Wang, Daniel Gálvez, Hossein Hadian, Shinji Watanabe and David Snyder. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing and Figshare.
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.