Matthew Gordon

50 papers receiving 1.2k citations

Peers

Matthew Gordon
Comparison fields: 5 of 58
  • Linguistics and Language 851
  • Experimental and Cognitive Psychology 1.3k
  • Language and Linguistics 529
  • Artificial Intelligence 643
  • Signal Processing 129
Replace Geoffrey S. Nathan with:
Geoffrey S. Nathan United States
Joseph Salmons United States
Francis Nolan United Kingdom
Mariapaola D’Imperio France
Louis Goldstein United States
John H. Esling Canada
George N. Clements France
Taehong Cho South Korea
Charlotte Gooskens Netherlands
Susan G. Guion United States
Matthew Gordon relative to Geoffrey S. Nathan United States Geoffrey S. Nathan's profile →
Citations per field
00.5×10×16×
Geoffrey S. Nathan · 1×
Citations per year

Countries citing papers authored by Matthew Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Gordon, 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 Matthew Gordon Line = papers co-authored together Matthew Gordon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001364
2 2007201
3 2002143
4 200289
5
Syllable Weight: Phonetics, Phonology, Typology
200677
6 201767
7 200549
8 200149
9 199839
10 199836
11
Topic and focus : cross-linguistic perspectives on meaning and intonation
200733
12 201727
13 200427
14 201223
15
Some phonetic structures of Chickasaw
200022
16 200620
17 200118
18 199615
19 200215
20 200314

About Matthew Gordon

Matthew Gordon is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language, Artificial Intelligence, Language and Linguistics and Signal Processing, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (46 papers), Linguistic Variation and Morphology (35 papers), Speech Recognition and Synthesis (20 papers), Syntax, Semantics, Linguistic Variation (10 papers), Linguistics and Cultural Studies (6 papers), Linguistics and language evolution (5 papers), Linguistic Studies and Language Acquisition (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Linguistics and Language (851 citations), Experimental and Cognitive Psychology (1.3k citations), Language and Linguistics (529 citations), Artificial Intelligence (643 citations) and Signal Processing (129 citations). Matthew Gordon has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Peter Ladefoged, Timo B. Roettger, Jeffrey Heath, Pamela Munro, Carlos Gussenhoven, Paul de Lacy, Keren Rice, T. A. Hall, Moira Yip and Alan Prince. Their work appears in journals such as International Journal of American Linguistics, The Journal of the Acoustical Society of America, Phonology, Journal of the International Phonetic Association and Journal of Phonetics.

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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