Ted Strauss

542 citations
11 papers · 239 · h-index 6

Impact in

Papers in

    • Speech Recognition and Synthesis 4
    • Speech and dialogue systems 2
    • Text Readability and Simplification 1
    • Neurobiology of Language and Bilingualism 4
    • EEG and Brain-Computer Interfaces 1

Ted Strauss

8 papers receiving 228 citations

Peers

Ted Strauss
Comparison fields: 5 of 29
  • Cognitive Neuroscience 171
  • Developmental and Educational Psychology 99
  • Experimental and Cognitive Psychology 100
  • Language and Linguistics 29
  • Artificial Intelligence 68
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Citations per field
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Citations per year

Countries citing papers authored by Ted Strauss

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

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

All Works

11 of 11 papers shown
#Work
1 201079
2 200772
3 201843
4 201029
5
Interaction in Spoken Word Recognition Models: Feedback Helps
20058
6 20106
7
jTRACE: A Reimplementation and Extension of the TRACE Model of Speech Perception and Spoken Word Recognition
20051
8 20061
9
Presentations Given by Ambassadors
20250
10
Presentations Given by Ambassadors
20250
11
Presentations Given by Ambassadors
20250

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 11 papers that have together received 239 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (4 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (2 papers), Second Language Acquisition and Learning (2 papers), Phonetics and Phonology Research (2 papers), Text Readability and Simplification (1 paper), Language, Metaphor, and Cognition (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (171 citations), Developmental and Educational Psychology (99 citations), Experimental and Cognitive Psychology (100 citations), Language and Linguistics (29 citations) and Artificial Intelligence (68 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, Adelyn Brecher, Myrna F. Schwartz, Grant M. Walker, Gary S. Dell, Sahil Luthra, James A. Dixon and Virginia Pannabecker. Their work appears in journals such as The Journal of the Acoustical Society of America, Frontiers in Psychology, Behavior Research Methods, Cognitive Neuropsychology and Cognitive Science.

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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