Kees van Deemter

3.4k citations
134 papers · 1.6k · h-index 19

Impact in

Papers in

Kees van Deemter

125 papers receiving 1.4k citations

Peers

Kees van Deemter
Comparison fields: 5 of 80
  • Artificial Intelligence 1.4k
  • Experimental and Cognitive Psychology 324
  • Language and Linguistics 199
  • Computer Vision and Pattern Recognition 240
  • Geography, Planning and Development 32
Replace Henry S. Thompson with:
Henry S. Thompson United Kingdom
Martin Rajman Switzerland
Mariët Theune Netherlands
Rashmi Prasad United States
Stanley Peters United States
Suzanne Stevenson Canada
Katja Markert United Kingdom
Amanda Stent United States
Jean Véronis France
Alexander Koller Germany
Kees van Deemter relative to Henry S. Thompson United Kingdom Henry S. Thompson's profile →
Citations per field
00.5×3.6×
Henry S. Thompson · 1×
Citations per year

Countries citing papers authored by Kees van Deemter

Since Specialization
Citations

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

Fields of papers citing papers by Kees van Deemter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kees van Deemter. 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 Kees van Deemter. The network helps show where Kees van Deemter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011194
2 2005116
3 2000106
4 200285
5
Information sharing : reference and presupposition in language generation and interpretation
200275
6 201158
7 200756
8 200655
9 200649
10 201244
11
Generating Expressions that Refer to Visible Objects
201339
12 199733
13 199431
14 200828
15 200927
16 201323
17 201621
18 201421
19 201020
20 200018

About Kees van Deemter

Kees van Deemter is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Language and Linguistics and Social Psychology, having authored 134 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (88 papers), Speech and dialogue systems (84 papers), Topic Modeling (46 papers), Multi-Agent Systems and Negotiation (24 papers), Language, Metaphor, and Cognition (19 papers), Semantic Web and Ontologies (16 papers), Multimodal Machine Learning Applications (10 papers) and Logic, Reasoning, and Knowledge (9 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Experimental and Cognitive Psychology (324 citations), Language and Linguistics (199 citations), Computer Vision and Pattern Recognition (240 citations) and Geography, Planning and Development (32 citations). Kees van Deemter has collaborated with scholars based in United Kingdom, Netherlands and Malta. Frequent co-authors include Emiel Krahmer, Rodger Kibble, Albert Gatt, Ivandré Paraboni, Mariët Theune, Ielka van der Sluis, Ehud Reiter, Roger P. G. van Gompel, Margaret Mitchell and Richard Power. Their work appears in journals such as Cognitive Science, Computational Linguistics, Journal of Semantics, Computer Speech & Language and Language Cognition and Neuroscience.

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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