Luc Steels

13.9k citations
209 papers · 5.5k indexed · h-index 41

Luc Steels

181 papers receiving 4.8k citations

Peers

Luc Steels
Comparison fields: 5 of 159
  • Cultural Studies 1.9k
  • Artificial Intelligence 2.6k
  • Language and Linguistics 735
  • Experimental and Cognitive Psychology 686
  • Statistical and Nonlinear Physics 567
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Domenico Parisi United States
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Noah D. Goodman United States
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Citations per field
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Citations per year

Countries citing papers authored by Luc Steels

Since Specialization
Citations

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

Fields of papers citing papers by Luc Steels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20161
3 20094
4 20096
5
The Emergence of Collective Structures Through Individual Interactions
20091
6 200822
7 20088
8 20082
9
Linking in Fluid Construction Grammar.
20054
10
The future of learning : issues and prospects
20035
11
The emergence of grammar in communicating autonomous robotic agents
200030
12
A Future for Knowledge Acquisition. Proceedings of the 8th European Knowledge Acquisition Workshop EKAW'94
19948
13
Equilibrium analysis of behavior systems
19941
14 19916
15 1990265
16
Connectionism in Perspective
1989369
17
Steps towards common sense
198839
18
Learning in second generation expert systems
19869
19
Learning the Craft of Musical Composition.
19866
20
Towards a LISP standard
19862

About Luc Steels

Luc Steels is a scholar working on Cultural Studies, Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 209 papers that have together received 5.5k indexed citations. Recurring topics across this work include Language and cultural evolution (66 papers), Natural Language Processing Techniques (50 papers), Speech and dialogue systems (35 papers), Syntax, Semantics, Linguistic Variation (28 papers), AI-based Problem Solving and Planning (13 papers), Semantic Web and Ontologies (13 papers), Evolutionary Algorithms and Applications (11 papers) and Language, Metaphor, and Cognition (11 papers). The work is most often cited by research in Cultural Studies (1.9k citations), Artificial Intelligence (2.6k citations), Language and Linguistics (735 citations), Experimental and Cognitive Psychology (686 citations) and Statistical and Nonlinear Physics (567 citations). Luc Steels has collaborated with scholars based in Belgium, Spain and Japan. Frequent co-authors include Tony Belpaeme, Frédé́ric Kaplan, Rolf Pfeifer, Zoltan Schreter, Vittorio Loreto, Paul Vogt, Rodney A. Brooks, Emanuele Caglioti, Andrea Baronchelli and Katrien Beuls. Their work appears in journals such as Robotics and Autonomous Systems, Artificial Life, Physics of Life Reviews, IEEE Intelligent Systems and Behavioral and Brain Sciences.

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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