Luc Steels

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

Impact in

Papers in

    • Natural Language Processing Techniques 50
    • Speech and dialogue systems 35
    • Semantic Web and Ontologies 13
    • AI-based Problem Solving and Planning 13
    • Evolutionary Algorithms and Applications 11
    • Language and cultural evolution 66

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
Replace Domenico Parisi with:
Domenico Parisi United States
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Ramon Ferrer‐i‐Cancho Spain
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Luc Steels relative to Domenico Parisi United States Domenico Parisi's profile →
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-authors

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

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Connectionism in Perspective
1989369
2 1990265
3 2005261
4 2006215
5 2003209
6 1995185
7 1997170
8 2001158
9 1995150
10 2011141
11 1993141
12 1998125
13 1997124
14 1985118
15 2010110
16 2001110
17 201181
18 200479
19 200175
20 200774

About Luc Steels

Luc Steels is a scholar working on Artificial Intelligence, Cultural Studies, 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), Semantic Web and Ontologies (13 papers), AI-based Problem Solving and Planning (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, Andrea Baronchelli, Emanuele Caglioti 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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