Bruce Tesar

2.3k citations
28 papers · 981 · h-index 14

Impact in

Papers in

    • Natural Language Processing Techniques 16
    • Speech and dialogue systems 8
    • Machine Learning and Algorithms 7
    • Algorithms and Data Compression 5
    • Neural Networks and Applications 3
    • Speech Recognition and Synthesis 3
    • Phonetics and Phonology Research 8

Bruce Tesar

27 papers receiving 693 citations

Peers

Bruce Tesar
Comparison fields: 5 of 37
  • Linguistics and Language 280
  • Experimental and Cognitive Psychology 610
  • Language and Linguistics 302
  • Artificial Intelligence 623
  • Developmental and Educational Psychology 192
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Citations per field
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Citations per year

Countries citing papers authored by Bruce Tesar

Since Specialization
Citations

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

Fields of papers citing papers by Bruce Tesar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce Tesar. 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 Bruce Tesar. The network helps show where Bruce Tesar may publish in the future.

Co-authors

The 5 scholars most cited alongside Bruce Tesar, 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 Bruce Tesar Line = papers co-authored together Bruce Tesar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998410
2 2000160
3 199584
4 199554
5 199734
6 200328
7 199827
8 200426
9 201325
10 199818
11 200515
12
Robust Interpretive Parsing in Metrical Stress Theory
199814
13 201314
14 200613
15
Using the Mutual Inconsistency of Structural Descriptions to Overcome Ambiguity in Language Learning
199812
16
Learning from Paradigmatic Information
200611
17 199610
18 20126
19
Multi-Recursive Constraint Demotion
19974
20
Linguistic and Cognitive Explanation in Optimality Theory
19994

About Bruce Tesar

Bruce Tesar is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computational Theory and Mathematics, General Health Professions and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 981 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Phonetics and Phonology Research (8 papers), Speech and dialogue systems (8 papers), Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (5 papers), Neural Networks and Applications (3 papers), Speech Recognition and Synthesis (3 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Linguistics and Language (280 citations), Experimental and Cognitive Psychology (610 citations), Language and Linguistics (302 citations), Artificial Intelligence (623 citations) and Developmental and Educational Psychology (192 citations). Bruce Tesar has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Paul Smolensky, Alan Prince, John Alderete, Adrian Brașoveanu and Jane Grimshaw. Their work appears in journals such as Lingua, Linguistic Inquiry, Integrative Zoology, Language Acquisition 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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