S. Levinson
- Signal Processing top 0.2%
- Speech and Audio Processing 31
- Music and Audio Processing 20
- Time Series Analysis and Forecasting 12
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 47
- Speech and dialogue systems 24
- Natural Language Processing Techniques 14
- Bayesian Methods and Mixture Models 7
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- Advanced Data Compression Techniques 7
- Human-Computer Interaction top 5%
- Co-authors
- L. R. RabinerM. M. SondhiA. E. RosenbergB.-H. JuangJ. WilponAndrej LjoljeThomas S. HuangAllen L. Gorin
- Journals
- The Journal of the Acoustical Society of America (9 papers)Computer Speech & Language (2 papers)IEEE Communications Magazine (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
S. Levinson
77 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Signal Processing 1.8k
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 767
- Experimental and Cognitive Psychology 215
- Human-Computer Interaction 58
Countries citing papers authored by S. Levinson
This map shows the geographic impact of S. Levinson'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 S. Levinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Levinson more than expected).
Fields of papers citing papers by S. Levinson
This network shows the impact of papers produced by S. Levinson. 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 S. Levinson. The network helps show where S. Levinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Levinson, 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 | 2008 | 7 | |
| 3 | 2006 | 4 | |
| 4 | 2005 | 1 | |
| 5 | 2005 | 5 | |
| 6 | 2005 | 3 | |
| 7 | 2005 | 8 | |
| 8 | 2003 | 4 | |
| 9 | 2002 | 8 | |
| 10 | 2001 | 1 | |
| 11 | Adaptive acquisition of language | 1992 | 2 |
| 12 | 1991 | 33 | |
| 13 | 1991 | 47 | |
| 14 | 1986 | 160 | |
| 15 | 1985 | 60 | |
| 16 | 1983 | 17 | |
| 17 | 1983 | 1 | |
| 18 | 1979 | 60 | |
| 19 | 1978 | 268 | |
| 20 | 1978 | 19 |
About S. Levinson
S. Levinson is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Radiation, having authored 86 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (47 papers), Speech and Audio Processing (31 papers), Speech and dialogue systems (24 papers), Music and Audio Processing (20 papers), Natural Language Processing Techniques (14 papers), Time Series Analysis and Forecasting (12 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Signal Processing (1.8k citations), Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (767 citations), Experimental and Cognitive Psychology (215 citations) and Human-Computer Interaction (58 citations). S. Levinson has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include L. R. Rabiner, M. M. Sondhi, A. E. Rosenberg, B.-H. Juang, J. Wilpon, Andrej Ljolje, Thomas S. Huang, Allen L. Gorin, Brian Pianfetti and Dan Roth. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Speech & Language, IEEE Communications Magazine, IEEE Transactions on Signal Processing and Proceedings of the National Academy of Sciences.
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.