Joseph Tepperman
Impact in
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
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- Phonetics and Phonology Research
Papers in
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- Speech and dialogue systems 12
- Speech Recognition and Synthesis 11
- Natural Language Processing Techniques 8
- Topic Modeling 3
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- Phonetics and Phonology Research 12
- Co-authors
- Shrikanth Narayanan (19 shared papers)David Traum (1 shared paper)S. Narayanan (2 shared papers)Matthew Black (9 shared papers)Sungbok Lee (11 shared papers)Abeer Alwan (6 shared papers)Abe Kazemzadeh (8 shared papers)Patti Price (4 shared papers)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (3 papers)Speech Communication (1 paper)
- Partner nations
- United States
In The Last Decade
Joseph Tepperman
25 papers receiving 375 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 400
- Experimental and Cognitive Psychology 156
- Signal Processing 118
- Developmental and Educational Psychology 87
- Computer Science Applications 8
Countries citing papers authored by Joseph Tepperman
This map shows the geographic impact of Joseph Tepperman'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 Joseph Tepperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Tepperman more than expected).
Fields of papers citing papers by Joseph Tepperman
This network shows the impact of papers produced by Joseph Tepperman. 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 Joseph Tepperman. The network helps show where Joseph Tepperman may publish in the future.
Co-authors
The 23 scholars most cited alongside Joseph Tepperman, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 108 | |
| 2 | 2006 | 53 | |
| 3 | 2010 | 40 | |
| 4 | 2007 | 34 | |
| 5 | 2007 | 30 | |
| 6 | 2007 | 28 | |
| 7 | 2006 | 18 | |
| 8 | 2010 | 17 | |
| 9 | 2007 | 17 | |
| 10 | 2006 | 17 | |
| 11 | 2009 | 15 | |
| 12 | 2008 | 12 | |
| 13 | 2008 | 10 | |
| 14 | 2008 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2009 | 5 | |
| 17 | 2007 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2011 | 4 | |
| 20 | 2005 | 4 |
About Joseph Tepperman
Joseph Tepperman is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Signal Processing and Cognitive Neuroscience, having authored 26 papers that have together received 451 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (12 papers), Speech and dialogue systems (12 papers), Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (8 papers), Reading and Literacy Development (6 papers), Speech and Audio Processing (3 papers), Topic Modeling (3 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Artificial Intelligence (400 citations), Experimental and Cognitive Psychology (156 citations), Signal Processing (118 citations), Developmental and Educational Psychology (87 citations) and Computer Science Applications (8 citations). Joseph Tepperman has collaborated with scholars based in United States. Frequent co-authors include Shrikanth Narayanan, David Traum, S. Narayanan, Matthew Black, Sungbok Lee, Abeer Alwan, Abe Kazemzadeh, Patti Price, Margaret Heritage and Jorge Estrela da Silva. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing and Speech Communication.
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.