John-Jules Meyer

3.5k total citations
82 papers, 1.3k citations indexed

About

John-Jules Meyer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, John-Jules Meyer has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in John-Jules Meyer's work include Multi-Agent Systems and Negotiation (44 papers), Logic, Reasoning, and Knowledge (38 papers) and AI-based Problem Solving and Planning (12 papers). John-Jules Meyer is often cited by papers focused on Multi-Agent Systems and Negotiation (44 papers), Logic, Reasoning, and Knowledge (38 papers) and AI-based Problem Solving and Planning (12 papers). John-Jules Meyer collaborates with scholars based in Netherlands, United Kingdom and France. John-Jules Meyer's co-authors include Wiebe van der Hoek, B. van Linder, Rosemarijn Looije, Mark A. Neerincx, Myrthe L. Tielman, Gerard A. W. Vreeswijk, Paul Harrenstein, Cees Witteveen, Mehdi Dastani and Frank Dignum and has published in prestigious journals such as Artificial Intelligence, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

John-Jules Meyer

75 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John-Jules Meyer Netherlands 17 1.1k 287 150 132 106 82 1.3k
John‐Jules Ch. Meyer Netherlands 20 1.1k 1.0× 121 0.4× 127 0.8× 119 0.9× 195 1.8× 104 1.4k
Marco Colombetti Italy 20 906 0.8× 75 0.3× 70 0.5× 60 0.5× 90 0.8× 66 1.2k
Özgür Şimşek United States 17 498 0.5× 49 0.2× 153 1.0× 37 0.3× 80 0.8× 36 898
Stan Śzpakowicz Canada 21 1.3k 1.2× 31 0.1× 106 0.7× 73 0.6× 29 0.3× 85 1.5k
Kumar Ravi India 14 881 0.8× 37 0.1× 108 0.7× 50 0.4× 19 0.2× 28 1.3k
Cynthia Matuszek United States 17 854 0.8× 26 0.1× 46 0.3× 143 1.1× 82 0.8× 55 1.3k
Stefano Baccianella Italy 6 1.7k 1.6× 36 0.1× 117 0.8× 106 0.8× 25 0.2× 7 2.0k
C. Franklin Boyle United States 4 1.3k 1.2× 59 0.2× 32 0.2× 98 0.7× 73 0.7× 6 2.0k
George W. Ernst United States 12 432 0.4× 97 0.3× 46 0.3× 36 0.3× 61 0.6× 31 818
Grigori Sidorov Mexico 19 1.2k 1.1× 41 0.1× 31 0.2× 95 0.7× 58 0.5× 171 1.6k

Countries citing papers authored by John-Jules Meyer

Since Specialization
Citations

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

Fields of papers citing papers by John-Jules Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John-Jules Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of John-Jules Meyer. A scholar is included among the top collaborators of John-Jules Meyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John-Jules Meyer. John-Jules Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meyer, John-Jules, et al.. (2018). Eliminating Opportunism using an Epistemic Mechanism. Data Archiving and Networked Services (DANS). 1450–1458.
2.
Dastani, Mehdi, et al.. (2017). Other-Condemning Anger = Blaming Accountable Agents for Unattainable Desires. Adaptive Agents and Multi-Agents Systems. 1520–1522. 1 indexed citations
3.
Meyer, John-Jules, et al.. (2015). Optimizing Product Paths in a Production Grid. Utrecht University Repository (Utrecht University). 1 indexed citations
4.
Torre, Leendert van der, et al.. (2014). Reasoning on Robot Knowledge from Discrete and Asynchronous Observations. Open Repository and Bibliography (University of Luxembourg).
5.
Lamb, Luís C., et al.. (2014). Neural-Symbolic Cognitive Agents: Architecture, Theory and Application (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1621. 1 indexed citations
6.
Peeters, Marieke, et al.. (2012). Situated cognitive engineering : the requirements and design of automatically directed scenario-based training. Repository hosted by TU Delft Library (TU Delft). 266–272. 4 indexed citations
7.
Meyer, John-Jules, et al.. (2012). Proceedings of the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2012). Adaptive Agents and Multi-Agents Systems. 96 indexed citations
8.
Meyer, John-Jules, et al.. (2012). Proceedings of the Ninth International Workshop on Argumentation in Multi-Agent Systems (ARGMAS-12). Adaptive Agents and Multi-Agents Systems. 1 indexed citations
9.
Dignum, Frank, et al.. (2011). Multi-criteria argument selection in persuasion dialogues. Adaptive Agents and Multi-Agents Systems. 921–928. 8 indexed citations
10.
Harbers, Maaike, Karel Van den Bosch, & John-Jules Meyer. (2010). Guidelines for developing explainable cognitive models:. TNO Repository. 13 indexed citations
11.
Dastani, Mehdi, et al.. (2009). Roles and norms for programming agent organizations. Adaptive Agents and Multi-Agents Systems. 121–128. 18 indexed citations
12.
Diggelen, Jurriaan van, Robbert‐Jan Beun, Frank Dignum, Rogier M. van Eijk, & John-Jules Meyer. (2007). Ontology negotiation in heterogeneous multi-agent systems: The ANEMONE system. Applied Ontology. 2(3). 267–303. 12 indexed citations
13.
Bentahar, Jamal, Bernard Moulin, John-Jules Meyer, & Brahim Chaib-draa. (2004). A Logical Model for Commitment and Argument Network for Agent Communication. Adaptive Agents and Multi-Agents Systems. 3. 792–799. 24 indexed citations
14.
Dastani, Mehdi, Joris Hulstijn, Frank Dignum, & John-Jules Meyer. (2004). Issues in Multiagent System Development. Adaptive Agents and Multi-Agents Systems. 3. 922–929. 21 indexed citations
15.
Harrenstein, Paul, John-Jules Meyer, Wiebe van der Hoek, & Cees Witteveen. (2003). A Modal Characterization of Nash Equilibrium. Fundamenta Informaticae. 57(2). 281–321. 20 indexed citations
16.
Witteman, Cilia, et al.. (2003). A Dialogue Game to Agree to Disagree about Inconsistent Information. Data Archiving and Networked Services (DANS). 83–90. 1 indexed citations
17.
Broersen, Jan, Roel Wieringa, & John-Jules Meyer. (2001). A Fixed-point Characterization of a Deontic Logic of Regular Action. University of Twente Research Information. 48(2). 107–128. 8 indexed citations
18.
Meyer, John-Jules. (1999). Dynamic logic for reasoning about actions and agents. Data Archiving and Networked Services (DANS). 12. 1 indexed citations
19.
Hindriks, Koen V., Frank S. de Boer, Wiebe van der Hoek, & John-Jules Meyer. (1998). Formal semantics for an abstract agent programming language. Lecture notes in computer science. 215–229. 24 indexed citations
20.
Hoek, Wiebe van der, B. van Linder, & John-Jules Meyer. (1995). Unravelling nondeterminism: on having the ability to choose (extended abstract). 163–172. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026