Dunstan Brown

4.7k citations
36 papers · 544 · h-index 13

Impact in

Papers in

Dunstan Brown

30 papers receiving 464 citations

Peers

Dunstan Brown
Comparison fields: 5 of 53
  • Linguistics and Language 166
  • Language and Linguistics 360
  • Experimental and Cognitive Psychology 124
  • Cultural Studies 70
  • Artificial Intelligence 168
Replace Éric Mathieu with:
Éric Mathieu Canada
Hannah J. Haynie United States
Steven Hartman United States
Michael Barrie Canada
Anju Saxena India
Richard Coates United Kingdom
Joan C. Mora Spain
Víctor Manuel Longa Martínez Spain
Wim de Haas Netherlands
Béatrice Dupuy United States
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Citations per field
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Citations per year

Countries citing papers authored by Dunstan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Dunstan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Dunstan Brown, 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 Dunstan Brown Line = papers co-authored together Dunstan Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005100
2 200286
3 201249
4 199632
5 201328
6 200427
7 201224
8 200521
9
Frequency, Regularity, and the Paradigm: A Perspective from Russian on a Complex Relation
200121
10 200219
11 201717
12 200716
13 200712
14 201312
15
Conflict in Russian Genitive Plural Assignment: A Solution Represented in DATR
199410
16 199810
17 20148
18 20088
19 20136
20 20226

About Dunstan Brown

Dunstan Brown is a scholar working on Language and Linguistics, Artificial Intelligence, Linguistics and Language, Cultural Studies and Experimental and Cognitive Psychology, having authored 36 papers that have together received 544 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (17 papers), Natural Language Processing Techniques (12 papers), Linguistic Variation and Morphology (8 papers), Language, Discourse, Communication Strategies (5 papers), Language and cultural evolution (5 papers), Gender Studies in Language (4 papers), Authorship Attribution and Profiling (3 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Linguistics and Language (166 citations), Language and Linguistics (360 citations), Experimental and Cognitive Psychology (124 citations), Cultural Studies (70 citations) and Artificial Intelligence (168 citations). Dunstan Brown has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Greville G. Corbett, Matthew Baerman, Andrew Hippisley, Marina Chumakina, Sebastian Fedden, Bill Palmer, Alan Timberlake, Paul Marriott, Nicholas Evans and Norman Fraser. Their work appears in journals such as First Language, Studies in Language, Linguistics, Morphology and Oceanic 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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