Mosur Ravishankar
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 5
- Signal Processing top 5%
- Speech and Audio Processing 8
- Music and Audio Processing 4
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 10
- Speech and dialogue systems 3
- Natural Language Processing Techniques 3
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- Interconnection Networks and Systems 3
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- Advanced Data Compression Techniques 3
- Co-authors
- Roberto BisianiAlexander I. RudnickyAlan W. BlackDavid Huggins-DainesMohit KumarA.C.K. ChanMaxine EskénaziAndreas Nowatzyk
- Journals
- Sadhana (1 paper)Figshare (2 papers)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Mosur Ravishankar
16 papers receiving 483 citations
Peers
Comparison fields: 5 of 61
- Hardware and Architecture 111
- Signal Processing 170
- Artificial Intelligence 319
- Computer Networks and Communications 148
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Mosur Ravishankar
This map shows the geographic impact of Mosur Ravishankar'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 Mosur Ravishankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mosur Ravishankar more than expected).
Fields of papers citing papers by Mosur Ravishankar
This network shows the impact of papers produced by Mosur Ravishankar. 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 Mosur Ravishankar. The network helps show where Mosur Ravishankar may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Mosur Ravishankar, 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 | 2022 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2007 | 0 | |
| 4 | 2006 | 280 | |
| 5 | 2006 | 1 | |
| 6 | 2005 | 5 | |
| 7 | 2005 | 0 | |
| 8 | 2002 | 16 | |
| 9 | THE 1999 CMU 10X REAL TIME BROADCAST NEWS TRANSCRIPTION SYSTEM | 1999 | 10 |
| 10 | 1998 | 11 | |
| 11 | Some Results on Search Complexity vs Accuracy | 1997 | 7 |
| 12 | 1997 | 19 | |
| 13 | THE DEVELOPMENT OF THE 1997 CMU SPANISH BROADCAST NEWS TRANSCRIPTION SYSTEM | 1997 | 3 |
| 14 | 1997 | 23 | |
| 15 | Efficient Algorithms for Speech Recognition. | 1996 | 105 |
| 16 | 1990 | 57 | |
| 17 | 1990 | 16 | |
| 18 | Coherent Shared Memory on a Distributed Memory Machine. | 1989 | 23 |
About Mosur Ravishankar
Mosur Ravishankar is a scholar working on Signal Processing, Hardware and Architecture and Artificial Intelligence, having authored 18 papers that have together received 578 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (8 papers), Parallel Computing and Optimization Techniques (5 papers), Music and Audio Processing (4 papers), Speech and dialogue systems (3 papers), Interconnection Networks and Systems (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Signal Processing (170 citations) and Artificial Intelligence (319 citations). Mosur Ravishankar has collaborated with scholars based in United States and India. Frequent co-authors include Roberto Bisiani, Alexander I. Rudnicky, Alan W. Black, David Huggins-Daines, Mohit Kumar, A.C.K. Chan, Maxine Eskénazi, Andreas Nowatzyk, Richard M. Stern and Rita Singh. Their work appears in journals such as Sadhana, Figshare and ACM SIGARCH Computer Architecture News.
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.