John‐Jules Ch. Meyer

5.3k total citations
104 papers, 1.4k citations indexed

About

John‐Jules Ch. Meyer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, John‐Jules Ch. Meyer has authored 104 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 10 papers in Computational Theory and Mathematics. Recurrent topics in John‐Jules Ch. Meyer's work include Multi-Agent Systems and Negotiation (61 papers), Logic, Reasoning, and Knowledge (52 papers) and Semantic Web and Ontologies (31 papers). John‐Jules Ch. Meyer is often cited by papers focused on Multi-Agent Systems and Negotiation (61 papers), Logic, Reasoning, and Knowledge (52 papers) and Semantic Web and Ontologies (31 papers). John‐Jules Ch. Meyer collaborates with scholars based in Netherlands, United Kingdom and Canada. John‐Jules Ch. Meyer's co-authors include Mehdi Dastani, Roel Wieringa, Wiebe van der Hoek, Frank S. de Boer, Koen V. Hindriks, Frank Dignum, M. Birna van Riemsdijk, Hans Weigand, Bas R. Steunebrink and Virginia Dignum and has published in prestigious journals such as Computers & Education, Knowledge-Based Systems and Theoretical Computer Science.

In The Last Decade

John‐Jules Ch. Meyer

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John‐Jules Ch. Meyer Netherlands	20	1.1k	195	186	148	147	104	1.4k
John-Jules Meyer Netherlands	17	1.1k 1.0×	106 0.5×	87 0.5×	95 0.6×	58 0.4×	82	1.3k
Liz Sonenberg Australia	20	883 0.8×	101 0.5×	132 0.7×	135 0.9×	133 0.9×	73	1.3k
Sanjay Modgil United Kingdom	19	1.3k 1.2×	67 0.3×	174 0.9×	143 1.0×	178 1.2×	79	1.6k
Guillermo Ricardo Simari Argentina	24	2.5k 2.3×	141 0.7×	393 2.1×	268 1.8×	326 2.2×	194	2.8k
Jim Blythe United States	20	677 0.6×	252 1.3×	385 2.1×	133 0.9×	70 0.5×	72	1.2k
Siddharth Patwardhan United States	18	2.7k 2.4×	107 0.5×	616 3.3×	119 0.8×	42 0.3×	38	3.1k
Zuhair Bandar United Kingdom	16	1.4k 1.3×	116 0.6×	436 2.3×	54 0.4×	42 0.3×	59	1.8k
Nir Oren United Kingdom	16	588 0.5×	106 0.5×	142 0.8×	156 1.1×	77 0.5×	104	875
Yukio Ohsawa Japan	16	851 0.8×	69 0.4×	255 1.4×	94 0.6×	41 0.3×	179	1.2k
Keeley Crockett United Kingdom	18	1.2k 1.1×	50 0.3×	373 2.0×	53 0.4×	41 0.3×	111	1.7k

Countries citing papers authored by John‐Jules Ch. Meyer

Since Specialization

Citations

This map shows the geographic impact of John‐Jules Ch. 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 Ch. 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 Ch. Meyer more than expected).

Fields of papers citing papers by John‐Jules Ch. Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John‐Jules Ch. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of John‐Jules Ch. Meyer. A scholar is included among the top collaborators of John‐Jules Ch. 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 Ch. Meyer. John‐Jules Ch. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Norman, Timothy J., et al.. (2015). Verifying Normative System Specification containing Collective Imperatives and Deadlines. Adaptive Agents and Multi-Agents Systems. 1821–1822. 1 indexed citations

Reisenzein, Rainer, Eva Hudlická, Mehdi Dastani, et al.. (2013). Computational Modeling of Emotion: Toward Improving the Inter- and Intradisciplinary Exchange. IEEE Transactions on Affective Computing. 4(3). 246–266. 74 indexed citations

Harbers, Maaike, Karel Van den Bosch, & John‐Jules Ch. Meyer. (2011). A THEORETICAL FRAMEWORK FOR EXPLAINING AGENT BEHAVIOR. TNO Repository. 228–231. 2 indexed citations

Harbers, Maaike, Karel Van den Bosch, & John‐Jules Ch. Meyer. (2010). Design and Evaluation of Explainable BDI Agents. 125–132. 34 indexed citations

Dastani, Mehdi, et al.. (2010). Programming norm change. Adaptive Agents and Multi-Agents Systems. 957–964. 15 indexed citations

Steunebrink, Bas R., Mehdi Dastani, & John‐Jules Ch. Meyer. (2010). Emotions to control agent deliberation. Adaptive Agents and Multi-Agents Systems. 973–980. 12 indexed citations

Meyer, John‐Jules Ch. & Jan Broersen. (2009). Knowledge Representation for Agents and Multi-Agent Systems: First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations

Dastani, Mehdi, et al.. (2009). On the Semantics and Verification of Normative Multi-Agent Systems. JUCS - Journal of Universal Computer Science. 15(13). 2629–2652. 14 indexed citations

Dignum, Frank, et al.. (2008). Achieving efficient and equitable collaboration among selfish agents using spender-signed currency. Adaptive Agents and Multi-Agents Systems. 1581–1584. 1 indexed citations

10.

Alechina, Natasha, Brian Logan, Mehdi Dastani, & John‐Jules Ch. Meyer. (2008). Reasoning about agent execution strategies. Adaptive Agents and Multi-Agents Systems. 1455–1458. 2 indexed citations

11.

Steunebrink, Bas R., Mehdi Dastani, & John‐Jules Ch. Meyer. (2007). A logic of emotions for intelligent agents. National Conference on Artificial Intelligence. 142–147. 26 indexed citations

12.

Dastani, Mehdi, M. Birna van Riemsdijk, & John‐Jules Ch. Meyer. (2006). Goal Types in Agent Programming. European Conference on Artificial Intelligence. 220–224. 27 indexed citations

13.

Meyer, John‐Jules Ch., et al.. (2005). Efficiency and Fairness in Air Traffic Control. Data Archiving and Networked Services (DANS). 151–157. 3 indexed citations

14.

Dastani, Mehdi, Frank Dignum, & John‐Jules Ch. Meyer. (2004). Autonomy and agent deliberation. Lecture notes in computer science. 114–127. 7 indexed citations

15.

Aldewereld, Huib, Wiebe van der Hoek, & John‐Jules Ch. Meyer. (2004). Rational Teams: Logical Aspects of Multi-Agent Systems. Fundamenta Informaticae. 63(2). 159–183. 14 indexed citations

16.

Koch, Fernando & John‐Jules Ch. Meyer. (2003). Knowledge-based Autonomous Agents for Pervasive Computing Using AgentLight. IEEE Distributed Systems Online. 4(6). 3 indexed citations

17.

Hoek, Wiebe van der & John‐Jules Ch. Meyer. (1996). Modalities for reasoning about knowledge and uncertainties. 77–109. 3 indexed citations

18.

Linder, B. van, Wiebe van der Hoek, & John‐Jules Ch. Meyer. (1994). Tests as epistemic updates. European Conference on Artificial Intelligence. 331–335. 10 indexed citations

19.

Hulst, M. van der & John‐Jules Ch. Meyer. (1994). An Epistemic Proof System for Parallel Processes.. 243–254. 1 indexed citations

20.

Meyer, John‐Jules Ch. & E.P. de Vink. (1989). Pomset Semantics for True Concurrency with Synchronization and Recursion (Extended Abstract). 360–369. 2 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.

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