Bart Craenen

518 total citations
23 papers, 232 citations indexed

About

Bart Craenen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Bart Craenen has authored 23 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 8 papers in Computer Networks and Communications. Recurrent topics in Bart Craenen's work include Multi-Agent Systems and Negotiation (7 papers), Scheduling and Timetabling Solutions (6 papers) and Constraint Satisfaction and Optimization (6 papers). Bart Craenen is often cited by papers focused on Multi-Agent Systems and Negotiation (7 papers), Scheduling and Timetabling Solutions (6 papers) and Constraint Satisfaction and Optimization (6 papers). Bart Craenen collaborates with scholars based in United Kingdom, Netherlands and United States. Bart Craenen's co-authors include A. E. Eiben, Jano van Hemert, Mary Ellen Foster, Alessandro Vinciarelli, Georgios Theodoropoulos, Asoke K. Nandi, Vincent Gaffney, Tapani Ristaniemi, Basel Abu‐Jamous and Vinoo Alluri and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Multimedia and Computational and Mathematical Organization Theory.

In The Last Decade

Bart Craenen

23 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Craenen United Kingdom 10 95 66 55 52 51 23 232
Lourens van der Meij Netherlands 9 228 2.4× 24 0.4× 28 0.5× 64 1.2× 37 0.7× 15 368
Robert E. Wray United States 10 224 2.4× 23 0.3× 13 0.2× 27 0.5× 22 0.4× 42 323
Elias Iosif Greece 13 332 3.5× 40 0.6× 32 0.6× 43 0.8× 11 0.2× 53 525
Ilias Tachmazidis United Kingdom 9 111 1.2× 56 0.8× 60 1.1× 6 0.1× 16 0.3× 27 292
Elliott Wen New Zealand 8 113 1.2× 44 0.7× 31 0.6× 14 0.3× 9 0.2× 30 270
Hyuckchul Jung United States 10 247 2.6× 60 0.9× 5 0.1× 30 0.6× 39 0.8× 23 330
Robert Marinier United States 8 165 1.7× 12 0.2× 44 0.8× 67 1.3× 14 0.3× 12 283
Guozheng Rao China 8 327 3.4× 29 0.4× 8 0.1× 65 1.3× 21 0.4× 39 448
Muhammed J. A. Patwary Bangladesh 13 158 1.7× 17 0.3× 38 0.7× 21 0.4× 20 0.4× 43 359

Countries citing papers authored by Bart Craenen

Since Specialization
Citations

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

Fields of papers citing papers by Bart Craenen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Craenen

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Craenen. A scholar is included among the top collaborators of Bart Craenen 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 Bart Craenen. Bart Craenen 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.
Craenen, Bart, et al.. (2018). Shaping Gestures to Shape Personality: Big-Five Traits, Godspeed Scores and the Similarity-Attraction Effect. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2221–2223. 7 indexed citations
2.
Craenen, Bart, et al.. (2018). The More I Understand it, the Less I Like it: The Relationship Between Understandability and Godspeed Scores for Robotic Gestures. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 216–221. 9 indexed citations
3.
Craenen, Bart, et al.. (2018). Do We Really Like Robots that Match our Personality? The Case of Big-Five Traits, Godspeed Scores and Robotic Gestures. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 626–631. 14 indexed citations
4.
Craenen, Bart, et al.. (2018). Shaping Gestures to Shape Personalities: The Relationship Between Gesture Parameters, Attributed Personality Traits and Godspeed Scores. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 699–704. 11 indexed citations
5.
Craenen, Bart, et al.. (2018). Shaping Robot Gestures to Shape Users' Perception. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 293–300. 15 indexed citations
6.
Geib, Christopher, et al.. (2016). Building Helpful Virtual Agents Using Plan Recognition and Planning. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 162–168. 4 indexed citations
7.
Craenen, Bart, Asoke K. Nandi, & Tapani Ristaniemi. (2013). A novel heuristic memetic clustering algorithm. 1–6. 1 indexed citations
8.
Cong, Fengyu, Vinoo Alluri, Asoke K. Nandi, et al.. (2013). Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features. IEEE Transactions on Multimedia. 15(5). 1060–1069. 49 indexed citations
9.
Craenen, Bart, et al.. (2012). MWGrid: A System for Distributed Agent-Based Simulation in the Digital Humanities. 67. 124–131. 7 indexed citations
10.
Craenen, Bart, et al.. (2011). A middleware for interfacing with simulation systems of multi-agent models. 273–279. 2 indexed citations
11.
Craenen, Bart, et al.. (2011). Modelling medieval military logistics: an agent-based simulation of a Byzantine army on the march. Computational and Mathematical Organization Theory. 18(4). 488–506. 8 indexed citations
12.
Craenen, Bart & Georgios Theodoropoulos. (2011). Ubiquitous Computing and Distributed Agent-Based Simulation. 1. 241–247. 3 indexed citations
13.
Craenen, Bart & Georgios Theodoropoulos. (2010). Interfacing multi-agent models to distributed simulation platforms: The case of PDES-MAS. Proceedings of the 2010 Winter Simulation Conference. 587–594. 1 indexed citations
14.
Craenen, Bart, et al.. (2010). Synchronised Range Queries in Distributed Simulations of Multi-agent Systems. University of Birmingham Research Portal (University of Birmingham). 18. 79–86. 12 indexed citations
15.
Craenen, Bart & A. E. Eiben. (2005). Hybrid Evolutionary Algorithms for Constraint Satisfaction Problems: Memetic Overkill?. 3. 1922–1928. 4 indexed citations
16.
Craenen, Bart & Á. E. Eiben. (2003). An experimental comparison of SAWing EAs for a new class of random binary CSPs. 1. 878–883. 1 indexed citations
17.
Craenen, Bart, A. E. Eiben, & Jano van Hemert. (2003). Comparing evolutionary algorithms on binary constraint satisfaction problems. IEEE Transactions on Evolutionary Computation. 7(5). 424–444. 47 indexed citations
18.
Craenen, Bart, A. E. Eiben, & Elena Marchiori. (2002). Solving constraint satisfaction problems with heuristic-based evolutionary algorithms. Radboud Repository (Radboud University). 2. 1571–1577. 11 indexed citations
19.
Craenen, Bart & A. E. Eiben. (2001). Stepwise adaption of weights with refinement and decay on constraint satisfaction problems. Genetic and Evolutionary Computation Conference. 291–298. 10 indexed citations
20.
Craenen, Bart, A. E. Eiben, Elena Marchiori, & Adri Steenbeek. (2000). Combining local search and fitness function adaptation in a GA for solving binary constraint satisfaction problems. 381–381. 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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