John Nerbonne

4.9k citations
165 papers · 2.6k · h-index 27

Impact in

Papers in

    • Natural Language Processing Techniques 88
    • Semantic Web and Ontologies 16
    • Speech and dialogue systems 16
    • Topic Modeling 15
    • Speech Recognition and Synthesis 11
    • Linguistic Variation and Morphology 73

John Nerbonne

154 papers receiving 2.2k citations

Peers

John Nerbonne
Comparison fields: 5 of 116
  • Linguistics and Language 1.1k
  • Language and Linguistics 839
  • Experimental and Cognitive Psychology 679
  • Artificial Intelligence 1.4k
  • Cultural Studies 331
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Citations per year

Countries citing papers authored by John Nerbonne

Since Specialization
Citations

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

Fields of papers citing papers by John Nerbonne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 4th International Conference on Language Resources and Evaluation
2004391
2 201196
3 200181
4 200978
5
Measuring Dialect Distance Phonetically
199770
6 201465
7 201364
8
Roots: Linguistics in Search of its Evidential Base
200759
9 201058
10 200755
11 201455
12
Phonetic Distance between Dutch Dialects
199655
13 199153
14
Theory and Evidence in Semantics
200949
15 200648
16
Gabmap – A web application for dialectology.
201145
17 201240
18 200638
19 200935
20 200135

About John Nerbonne

John Nerbonne is a scholar working on Artificial Intelligence, Linguistics and Language, Experimental and Cognitive Psychology, Language and Linguistics and Cultural Studies, having authored 165 papers that have together received 2.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (88 papers), Linguistic Variation and Morphology (73 papers), Phonetics and Phonology Research (39 papers), Semantic Web and Ontologies (16 papers), Speech and dialogue systems (16 papers), Topic Modeling (15 papers), Speech Recognition and Synthesis (11 papers) and Lexicography and Language Studies (10 papers). The work is most often cited by research in Linguistics and Language (1.1k citations), Language and Linguistics (839 citations), Experimental and Cognitive Psychology (679 citations), Artificial Intelligence (1.4k citations) and Cultural Studies (331 citations). John Nerbonne has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Wilbert Heeringa, Martijn Wieling, Balázs Kis, Göran Pohl, Peter Kleiweg, R. Harald Baayen, Erhard Hinrichs, Hans‐Ulrich Krieger, Charlotte Gooskens and William A. Kretzschmar. Their work appears in journals such as Lingua, Linguistics, Language, Computer Assisted Language Learning and PLoS ONE.

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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