Mark Hendrikx

859 total citations · 1 hit paper
5 papers, 433 citations indexed

About

Mark Hendrikx is a scholar working on Artificial Intelligence, Management Science and Operations Research and Political Science and International Relations. According to data from OpenAlex, Mark Hendrikx has authored 5 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Political Science and International Relations. Recurrent topics in Mark Hendrikx's work include Multi-Agent Systems and Negotiation (4 papers), Artificial Intelligence in Games (3 papers) and Auction Theory and Applications (2 papers). Mark Hendrikx is often cited by papers focused on Multi-Agent Systems and Negotiation (4 papers), Artificial Intelligence in Games (3 papers) and Auction Theory and Applications (2 papers). Mark Hendrikx collaborates with scholars based in Netherlands and United Kingdom. Mark Hendrikx's co-authors include Alexandru Iosup, Sebastiaan Meijer, Koen V. Hindriks, Catholijn M. Jonker and Tim Baarslag and has published in prestigious journals such as Autonomous Agents and Multi-Agent Systems, ACM Transactions on Multimedia Computing Communications and Applications and ePrints Soton (University of Southampton).

In The Last Decade

Mark Hendrikx

5 papers receiving 410 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Procedural content generation for games

2013 307 citations Mark Hendrikx, Sebastiaan Meijer et al. ACM Transactions on Multimedia Computing Communications and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Hendrikx Netherlands	4	316	155	136	75	51	5	433
Steve Rabin United States	7	206 0.7×	56 0.4×	105 0.8×	49 0.7×	44 0.9×	15	346
Ben Weber United States	9	408 1.3×	177 1.1×	118 0.9×	85 1.1×	26 0.5×	17	475
Tristan Cazenave France	13	553 1.8×	163 1.1×	112 0.8×	61 0.8×	28 0.5×	71	633
Marc Esteva Spain	11	290 0.9×	54 0.3×	22 0.2×	9 0.1×	11 0.2×	36	446
Xinhuan Shu China	12	116 0.4×	60 0.4×	321 2.4×	14 0.2×	12 0.2×	22	440
Thales Vieira Brazil	9	85 0.3×	32 0.2×	183 1.3×	9 0.1×	34 0.7×	41	333
Vassilis Poulopoulos Greece	9	86 0.3×	59 0.4×	66 0.5×	12 0.2×	8 0.2×	50	348
Richen Liu China	10	59 0.2×	27 0.2×	182 1.3×	10 0.1×	16 0.3×	32	417
Dustin Morrill Canada	4	285 0.9×	58 0.4×	37 0.3×	15 0.2×	17 0.3×	7	437
Matej Moravčík Czechia	3	282 0.9×	62 0.4×	33 0.2×	15 0.2×	17 0.3×	7	424

Countries citing papers authored by Mark Hendrikx

Since Specialization

Citations

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

Fields of papers citing papers by Mark Hendrikx

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Hendrikx

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

All Works

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5 of 5 papers shown

1.

Baarslag, Tim, Mark Hendrikx, Koen V. Hindriks, & Catholijn M. Jonker. (2016). A Survey of Opponent Modeling Techniques in Automated Negotiation. Adaptive Agents and Multi-Agents Systems. 575–576. 8 indexed citations

2.

Baarslag, Tim, Mark Hendrikx, Koen V. Hindriks, & Catholijn M. Jonker. (2015). Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques. Autonomous Agents and Multi-Agent Systems. 30(5). 849–898. 91 indexed citations

3.

Hendrikx, Mark, et al.. (2013). Procedural content generation for games. ACM Transactions on Multimedia Computing Communications and Applications. 9(1). 1–22. 307 indexed citations breakdown →

4.

Baarslag, Tim, Mark Hendrikx, Koen V. Hindriks, & Catholijn M. Jonker. (2013). Predicting the Performance of Opponent Models in Automated Negotiation. ePrints Soton (University of Southampton). 59–66. 24 indexed citations

5.

Hendrikx, Mark. (2012). Evaluating the Quality of Opponent Models in Automated Bilateral Negotiations. Research Repository (Delft University of Technology). 3 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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