Robbert‐Jan Beun

757 citations
23 papers · 383 · h-index 12

Impact in

Papers in

Robbert‐Jan Beun

22 papers receiving 344 citations

Peers

Robbert‐Jan Beun
Comparison fields: 5 of 61
  • Experimental and Cognitive Psychology 129
  • Language and Linguistics 94
  • Artificial Intelligence 212
  • Human-Computer Interaction 28
  • Developmental and Educational Psychology 49
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Citations per year

Countries citing papers authored by Robbert‐Jan Beun

Since Specialization
Citations

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

Fields of papers citing papers by Robbert‐Jan Beun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbert‐Jan Beun. 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 Robbert‐Jan Beun. The network helps show where Robbert‐Jan Beun may publish in the future.

Co-authors

The 16 scholars most cited alongside Robbert‐Jan Beun, 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 Robbert‐Jan Beun Line = papers co-authored together Robbert‐Jan Beun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199875
2 200773
3 201438
4 201231
5 200621
6 199020
7 200116
8
Dialogue and Instruction: Modelling Interaction in Intelligent Tutoring Systems
199515
9 201514
10 200414
11 200712
12 199611
13 199411
14
The recognition of declarative questions in information dialogues
19898
15
Multimodal reference to objects: An empirical approach
20015
16 19985
17 20083
18 20043
19 20113
20 20072

About Robbert‐Jan Beun

Robbert‐Jan Beun is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Social Psychology and Information Systems, having authored 23 papers that have together received 383 indexed citations. Recurring topics across this work include Speech and dialogue systems (11 papers), Multi-Agent Systems and Negotiation (9 papers), Semantic Web and Ontologies (5 papers), Language, Metaphor, and Cognition (5 papers), Language, Discourse, Communication Strategies (4 papers), Service-Oriented Architecture and Web Services (2 papers), Autism Spectrum Disorder Research (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (129 citations), Language and Linguistics (94 citations), Artificial Intelligence (212 citations), Human-Computer Interaction (28 citations) and Developmental and Educational Psychology (49 citations). Robbert‐Jan Beun has collaborated with scholars based in Netherlands, United Kingdom and Switzerland. Frequent co-authors include Anita Cremers, Paul Piwek, Rosemarijn Looije, Rogier M. van Eijk, Mark A. Neerincx, Jurriaan van Diggelen, Olivier Blanson Henkemans, Frank Dignum, Michael J. Baker and Miriam Reiner. Their work appears in journals such as Journal of Pragmatics, Applied Ontology, Pragmatics & Cognition, Journal of Logic Language and Information and Psychophysiology.

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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