Tom van Engers

866 total citations
46 papers, 327 citations indexed

About

Tom van Engers is a scholar working on Artificial Intelligence, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Tom van Engers has authored 46 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Political Science and International Relations and 12 papers in Sociology and Political Science. Recurrent topics in Tom van Engers's work include Multi-Agent Systems and Negotiation (21 papers), Artificial Intelligence in Law (15 papers) and Semantic Web and Ontologies (9 papers). Tom van Engers is often cited by papers focused on Multi-Agent Systems and Negotiation (21 papers), Artificial Intelligence in Law (15 papers) and Semantic Web and Ontologies (9 papers). Tom van Engers collaborates with scholars based in Netherlands, United Kingdom and Italy. Tom van Engers's co-authors include Alexander Boer, Radboud Winkels, Silvio Peroni, Fabio Vitali, Pompeu Casanovas, Monica Palmirani, Adam Wyner, Henry Prakken, Cees de Laat and Floris Bex and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Tom van Engers

44 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom van Engers Netherlands	10	195	124	94	41	36	46	327
Enrico Francesconi Italy	12	331 1.7×	218 1.8×	121 1.3×	34 0.8×	41 1.1×	60	529
Monica Palmirani Italy	12	358 1.8×	209 1.7×	120 1.3×	56 1.4×	58 1.6×	71	530
Adam Wyner United Kingdom	13	447 2.3×	249 2.0×	64 0.7×	30 0.7×	43 1.2×	63	553
Alexander Boer Netherlands	13	289 1.5×	179 1.4×	80 0.9×	23 0.6×	44 1.2×	40	420
Radboud Winkels Netherlands	13	370 1.9×	207 1.7×	83 0.9×	23 0.6×	48 1.3×	61	491
Jack G. Conrad United States	11	244 1.3×	90 0.7×	121 1.3×	22 0.5×	9 0.3×	29	342
Frank Kriwaczek United Kingdom	4	257 1.3×	131 1.1×	58 0.6×	23 0.6×	32 0.9×	8	358
João Pedro Quintais Netherlands	11	151 0.8×	49 0.4×	104 1.1×	53 1.3×	39 1.1×	61	406
Victor Rodrı́guez-Doncel Spain	10	184 0.9×	43 0.3×	120 1.3×	62 1.5×	32 0.9×	50	355
L. Thorne McCarty United States	13	518 2.7×	220 1.8×	48 0.5×	14 0.3×	31 0.9×	28	627

Countries citing papers authored by Tom van Engers

Since Specialization

Citations

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

Fields of papers citing papers by Tom van Engers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom van Engers. 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 Tom van Engers. The network helps show where Tom van Engers may publish in the future.

Co-authorship network of co-authors of Tom van Engers

This figure shows the co-authorship network connecting the top 25 collaborators of Tom van Engers. A scholar is included among the top collaborators of Tom van Engers 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 Tom van Engers. Tom van Engers 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

Engers, Tom van, et al.. (2023). Do agents dream of abiding by the rules?. UvA-DARE (University of Amsterdam). 81–90. 2 indexed citations

Engers, Tom van, et al.. (2023). Model of a military autonomous device following International Humanitarian Law. Ethics and Information Technology. 25(1). 3 indexed citations

Belloum, Adam, et al.. (2023). The dynamics of corruption under an optional external supervision service. Applied Mathematics and Computation. 457. 128172–128172.

Sartor, Giovanni, Michał Araszkiewicz, Katie Atkinson, et al.. (2022). Thirty years of Artificial Intelligence and Law: the second decade. Artificial Intelligence and Law. 30(4). 521–557. 8 indexed citations

Klous, S., et al.. (2022). Manipulation of the Bitcoin market: an agent-based study. Financial Innovation. 8(1). 60–60. 16 indexed citations

Engers, Tom van, et al.. (2021). Algorithmic fog of war: When lack of transparency violates the law of armed conflict. UvA-DARE (University of Amsterdam). 2(1-2). 43–66. 6 indexed citations

Engers, Tom van, et al.. (2020). Run, agent, run! architecture and benchmarking of actor-based agents. UvA-DARE (University of Amsterdam). 11–20. 1 indexed citations

Belloum, Adam, et al.. (2020). Policy Enforcement for Secure and Trustworthy Data Sharing in Multi-domain Infrastructures. UvA-DARE (University of Amsterdam). 160. 104–113. 2 indexed citations

Engers, Tom van, et al.. (2018). Using Formal Interpretations of Legal Sources for Comparing the Application of Exclusion Clauses of the UN Refugee Convention.

10.

Engers, Tom van, et al.. (2018). Towards Trustworthy Information Sharing by Creating Cyber Security Alliances. UvA-DARE (University of Amsterdam). 19. 1506–1510. 8 indexed citations

11.

Engers, Tom van, et al.. (2018). A Normative Agent-based Model for Sharing Data in Secure Trustworthy Digital Market Places. UvA-DARE (University of Amsterdam). 290–296. 2 indexed citations

12.

Wyner, Adam, Tom van Engers, & Anthony Hunter. (2016). Working on the argument pipeline: Through flow issues between natural language argument, instantiated arguments, and argumentation frameworks. SHILAP Revista de lepidopterología. 7(1). 69–89. 8 indexed citations

13.

Gommans, Leon, et al.. (2016). An Agent-based Framework for Multi-domain Service Networks - Eduroam Case Study. Data Archiving and Networked Services (DANS). 275–280. 3 indexed citations

14.

Casanovas, Pompeu, Monica Palmirani, Silvio Peroni, Tom van Engers, & Fabio Vitali. (2016). Semantic Web for the Legal Domain: The next step. Semantic Web. 7(3). 213–227. 40 indexed citations

15.

Boer, Alexander, et al.. (2014). From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions. UvA-DARE (University of Amsterdam). 622–631. 4 indexed citations

16.

Boer, Arnoud V. den, et al.. (2014). Towards a Representational Model of Social Affordances from an Institutional Perspective. UvA-DARE (University of Amsterdam). 4 indexed citations

17.

Boer, Arnoud V. den, et al.. (2013). Towards a computational model for institutional scenarios. UvA-DARE (University of Amsterdam). 25. 183–190. 2 indexed citations

18.

Boer, Alexander & Tom van Engers. (2011). An agent-based legal knowledge acquisition methodology for agile public administration. UvA-DARE (University of Amsterdam). 171–180. 14 indexed citations

19.

Hoekstra, Rinke, et al.. (2009). Legal simcity: Legislative maps and semantic web supporting conflict resolution. UvA-DARE (University of Amsterdam). 63–74. 3 indexed citations

20.

Boer, Alexander, Tom van Engers, & Radboud Winkels. (2005). Mixing Legal and Non-legal Norms. 25–36. 9 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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