Stephen E. Levinson

472 citations
33 papers · 275 · h-index 9

Impact in

Papers in

Stephen E. Levinson

27 papers receiving 227 citations

Peers

Stephen E. Levinson
Comparison fields: 5 of 81
  • Signal Processing 72
  • Experimental and Cognitive Psychology 80
  • Artificial Intelligence 136
  • Computer Vision and Pattern Recognition 43
  • Cultural Studies 15
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C. Ris Belgium
Katerina Pastra Greece
R. Linggard United Kingdom
Wayne A. Lea United States
Mohamed Faouzi BenZeghiba France
Ingo Siegert Germany
Olivier Deroo Belgium
Alfred Dielmann United Kingdom
Mats Blomberg Sweden
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Citations per year

Countries citing papers authored by Stephen E. Levinson

Since Specialization
Citations

This map shows the geographic impact of Stephen E. 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 Stephen E. Levinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Levinson more than expected).

Fields of papers citing papers by Stephen E. Levinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. 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 Stephen E. Levinson. The network helps show where Stephen E. Levinson may publish in the future.

Co-authors

The 22 scholars most cited alongside Stephen E. Levinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen E. Levinson Line = papers co-authored together Stephen E. Levinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200438
2 198135
3 197834
4 200529
5 201519
6 200417
7 200513
8 201410
9
Hmm-based semantic learning for a mobile robot
20049
10 20058
11
PQ−Learning: An Efficient Robot Learning Method for Intelligent Behavior Acquisition
20017
12 20147
13
Interactive and Incremental Learning via a Mixture of Supervised and Unsupervised Learning Strategies
20006
14 20076
15
A unified theory of composite pattern analysis for automatic speech recognition
19865
16
The vocal speech understanding system
19755
17 19965
18 20074
19
Speech recognition technology: a critique
19943
20 19953

About Stephen E. Levinson

Stephen E. Levinson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology and Cultural Studies, having authored 33 papers that have together received 275 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (8 papers), Multimodal Machine Learning Applications (3 papers), Speech and Audio Processing (3 papers), Time Series Analysis and Forecasting (3 papers), Language and cultural evolution (3 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Signal Processing (72 citations), Experimental and Cognitive Psychology (80 citations), Artificial Intelligence (136 citations), Computer Vision and Pattern Recognition (43 citations) and Cultural Studies (15 citations). Stephen E. Levinson has collaborated with scholars based in United States and Japan. Frequent co-authors include Mark Liberman, Tong Zhang, Mark Hasegawa‐Johnson, A. E. Rosenberg, Lawrence R. Rabiner, Vishnu Nath, Thomas S. Huang, Ming Liu, Zhihong Zeng and Dan Roth. Their work appears in journals such as Speech Communication, The Journal of the Acoustical Society of America, Scientific American, European Radiology and IEEE Transactions on Evolutionary Computation.

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.

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