Michael Levit
Impact in
-
- Emotion and Mood Recognition
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
Papers in ⓘ
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- Natural Language Processing Techniques 17
- Topic Modeling 13
- Speech Recognition and Synthesis 11
- Speech and dialogue systems 10
- Text and Document Classification Technologies 3
- Co-authors
- B. Z. Weiss (5 shared papers)I. Grimberg (4 shared papers)Deb Roy (2 shared papers)Elmar Nöth (5 shared papers)Anton Batliner (2 shared papers)H. Niemann (2 shared papers)Stefan Steidl (1 shared paper)Aharon Blank (2 shared papers)
- Journals
- Journal of Applied Physics (2 papers)Journal of Magnetic Resonance (1 paper)Computer Speech & Language (1 paper)ACS Photonics (1 paper)Review of Scientific Instruments (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Michael Levit
31 papers receiving 351 citations
Peers
Comparison fields: 5 of 75
- Experimental and Cognitive Psychology 77
- Artificial Intelligence 172
- Signal Processing 55
- Biophysics 23
- Ceramics and Composites 21
Countries citing papers authored by Michael Levit
This map shows the geographic impact of Michael Levit'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 Michael Levit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Levit more than expected).
Fields of papers citing papers by Michael Levit
This network shows the impact of papers produced by Michael Levit. 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 Michael Levit. The network helps show where Michael Levit may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Levit, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 69 | |
| 2 | The Human Speechome Project | 2006 | 48 |
| 3 | 1996 | 40 | |
| 4 | 2011 | 38 | |
| 5 | 1996 | 34 | |
| 6 | 2007 | 30 | |
| 7 | 2013 | 20 | |
| 8 | Use of prosodic speech characteristics for automated detection of alcohol intoxication | 2001 | 16 |
| 9 | 2014 | 9 | |
| 10 | 1994 | 8 | |
| 11 | 2007 | 7 | |
| 12 | 1996 | 7 | |
| 13 | 2002 | 6 | |
| 14 | 2001 | 6 | |
| 15 | 2007 | 5 | |
| 16 | 2007 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 1999 | 4 | |
| 19 | 2003 | 4 | |
| 20 | 2009 | 4 |
About Michael Levit
Michael Levit is a scholar working on Artificial Intelligence, Structural Biology, Signal Processing, Biophysics and General Materials Science, having authored 34 papers that have together received 384 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers), Speech Recognition and Synthesis (11 papers), Speech and dialogue systems (10 papers), Music and Audio Processing (4 papers), Text and Document Classification Technologies (3 papers), Speech and Audio Processing (3 papers) and Semiconductor materials and interfaces (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (77 citations), Artificial Intelligence (172 citations), Signal Processing (55 citations), Biophysics (23 citations) and Ceramics and Composites (21 citations). Michael Levit has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include B. Z. Weiss, I. Grimberg, Deb Roy, Elmar Nöth, Anton Batliner, H. Niemann, Stefan Steidl, Aharon Blank, Allen L. Gorin and Shuangyu Chang. Their work appears in journals such as Journal of Applied Physics, Journal of Magnetic Resonance, Computer Speech & Language, ACS Photonics and Review of Scientific Instruments.
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.