Ted Strauss
Impact in
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
- Neuroscience and Music Perception
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- Reading and Literacy Development
- Language Development and Disorders
Papers in ⓘ
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- Speech Recognition and Synthesis 4
- Speech and dialogue systems 2
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- Neurobiology of Language and Bilingualism 4
- EEG and Brain-Computer Interfaces 1
- Co-authors
- James S. Magnuson (6 shared papers)Harlan D. Harris (5 shared papers)Daniel Mirman (4 shared papers)Myrna F. Schwartz (2 shared papers)Adelyn Brecher (2 shared papers)Grant M. Walker (2 shared papers)Gary S. Dell (2 shared papers)James A. Dixon (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Behavior Research Methods (1 paper)Cognitive Science (1 paper)Cognitive Neuropsychology (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Ted Strauss
8 papers receiving 182 citations
Peers
Comparison fields: 5 of 30
- Cognitive Neuroscience 153
- Developmental and Educational Psychology 84
- Experimental and Cognitive Psychology 76
- Artificial Intelligence 61
- Linguistics and Language 6
Countries citing papers authored by Ted Strauss
This map shows the geographic impact of Ted Strauss'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 Ted Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Strauss more than expected).
Fields of papers citing papers by Ted Strauss
This network shows the impact of papers produced by Ted Strauss. 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 Ted Strauss. The network helps show where Ted Strauss may publish in the future.
Co-authors
The 9 scholars most cited alongside Ted Strauss, 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 | 2010 | 76 | |
| 2 | 2007 | 50 | |
| 3 | 2010 | 27 | |
| 4 | 2018 | 24 | |
| 5 | Interaction in Spoken Word Recognition Models: Feedback Helps | 2005 | 7 |
| 6 | 2010 | 6 | |
| 7 | jTRACE: A Reimplementation and Extension of the TRACE Model of Speech Perception and Spoken Word Recognition | 2005 | 1 |
| 8 | 2006 | 1 |
About Ted Strauss
Ted Strauss is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Signal Processing, having authored 8 papers that have together received 192 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (4 papers), Speech Recognition and Synthesis (4 papers), Second Language Acquisition and Learning (2 papers), Phonetics and Phonology Research (2 papers), Speech and dialogue systems (2 papers), Language, Metaphor, and Cognition (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Cognitive Neuroscience (153 citations), Developmental and Educational Psychology (84 citations), Experimental and Cognitive Psychology (76 citations), Artificial Intelligence (61 citations) and Linguistics and Language (6 citations). Ted Strauss has collaborated with scholars based in United States and Canada. Frequent co-authors include James S. Magnuson, Harlan D. Harris, Daniel Mirman, Myrna F. Schwartz, Adelyn Brecher, Grant M. Walker, Gary S. Dell, James A. Dixon and Sahil Luthra. Their work appears in journals such as The Journal of the Acoustical Society of America, Behavior Research Methods, Cognitive Science, Cognitive Neuropsychology and Frontiers in Psychology.
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.