Michael Becker

20 papers receiving 595 citations

Peers

Michael Becker
Comparison fields: 5 of 76
  • Linguistics and Language 166
  • Experimental and Cognitive Psychology 312
  • Language and Linguistics 145
  • Artificial Intelligence 226
  • Developmental and Educational Psychology 87
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M. G. BARLOW United Kingdom
Stephanie S. Shih United States
John C. Moore United States
Yicheng Wu China
Jingyang Jiang China
Phillip Hamrick United States
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Rüdiger Hoffmann Germany
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Countries citing papers authored by Michael Becker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michael Becker, 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 Michael Becker Line = papers co-authored together Michael Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998176
2 201199
3 200067
4 201067
5 201257
6 200935
7 201632
8 201130
9 201327
10 201720
11 200817
12 200316
13 20166
14
Matching-Verfahren und Gruppenvergleiche
20115
15 20185
16 20202
17
Prudent error-driven learning with OT-CC ∗
20072
18 20122
19 20181
20 20181

About Michael Becker

Michael Becker is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language, Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics, having authored 21 papers that have together received 667 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (12 papers), Linguistic Variation and Morphology (8 papers), Syntax, Semantics, Linguistic Variation (7 papers), Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (3 papers), Speech and dialogue systems (3 papers), Language Development and Disorders (3 papers) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Linguistics and Language (166 citations), Experimental and Cognitive Psychology (312 citations), Language and Linguistics (145 citations), Artificial Intelligence (226 citations) and Developmental and Educational Psychology (87 citations). Michael Becker has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Manfred T. Reetz, Andrew Nevins, Klaus M. Kühling, Arnold Holzwarth, Maria Gouskova, Jonathan M. Levine, Monika Liebl, Alois Fürstner, Anne‐Michelle Tessier and Karen Jesney. Their work appears in journals such as Phonology, Language, Natural Language & Linguistic Theory, Angewandte Chemie International Edition and Glossa a journal of general linguistics.

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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