John Goldsmith

4.5k citations
60 papers · 1.7k · h-index 18

Impact in

Papers in

    • Natural Language Processing Techniques 19
    • Topic Modeling 8
    • Speech and dialogue systems 7
    • Algorithms and Data Compression 7
    • Linguistic Studies and Language Acquisition 4
    • Historical Linguistics and Language Studies 10
    • Syntax, Semantics, Linguistic Variation 9

John Goldsmith

54 papers receiving 1.3k citations

Peers

John Goldsmith
Comparison fields: 5 of 94
  • Linguistics and Language 398
  • Language and Linguistics 520
  • Experimental and Cognitive Psychology 636
  • Artificial Intelligence 982
  • Cultural Studies 141
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Citations per year

Countries citing papers authored by John Goldsmith

Since Specialization
Citations

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

Fields of papers citing papers by John Goldsmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001446
2 1989209
3 1980169
4 198490
5 200684
6 198769
7
The last phonological rule : reflections on constraints and derivations
199367
8 198560
9 200237
10 200936
11 201534
12 199833
13
Phonological theory : the essential readings
199932
14 198730
15 201226
16 200123
17 201019
18 200117
19 200615
20
Probabilistic Models of Grammar: Phonology as Information Minimization
200214

About John Goldsmith

John Goldsmith is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Linguistics and Language and Cultural Studies, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Phonetics and Phonology Research (15 papers), Historical Linguistics and Language Studies (10 papers), Syntax, Semantics, Linguistic Variation (9 papers), Topic Modeling (8 papers), Speech and dialogue systems (7 papers), Algorithms and Data Compression (7 papers) and Linguistic Studies and Language Acquisition (4 papers). The work is most often cited by research in Linguistics and Language (398 citations), Language and Linguistics (520 citations), Experimental and Cognitive Psychology (636 citations), Artificial Intelligence (982 citations) and Cultural Studies (141 citations). John Goldsmith has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include George N. Clements, Aris Xanthos, Geoffrey J. Huck, Penny Schine Gold, Jason Riggle, Nick Chater, Amy Perfors, Alexander Clark, John Komlos and Jeremy L. O’Brien. Their work appears in journals such as Language, Folia Linguistica, Journal of Linguistics, Computational Linguistics and Natural Language & Linguistic Theory.

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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