Vincent Corruble

1.3k total citations
22 papers, 424 citations indexed

About

Vincent Corruble is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Vincent Corruble has authored 22 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 4 papers in Molecular Biology. Recurrent topics in Vincent Corruble's work include Artificial Intelligence in Games (9 papers), Digital Games and Media (6 papers) and Reinforcement Learning in Robotics (5 papers). Vincent Corruble is often cited by papers focused on Artificial Intelligence in Games (9 papers), Digital Games and Media (6 papers) and Reinforcement Learning in Robotics (5 papers). Vincent Corruble collaborates with scholars based in France, Brazil and United Kingdom. Vincent Corruble's co-authors include Geber Ramalho, Donald E. Brown, Patricia A. Jones, Timothy Howells, Peter Andrews, Derek H. Sleeman, Magalie Ochs, Nicolas Sabouret, Harrson Silva Santana and Alex Sandro Gomes and has published in prestigious journals such as Journal of neurosurgery, Pattern Recognition and Artificial Intelligence.

In The Last Decade

Vincent Corruble

21 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Corruble France 8 156 133 98 83 60 22 424
Patrick Howell United States 7 85 0.5× 92 0.7× 17 0.2× 33 0.4× 11 0.2× 11 380
Derek H. Sleeman United Kingdom 8 179 1.1× 129 1.0× 98 1.0× 82 1.0× 47 0.8× 15 408
Ann Yuan United States 6 233 1.5× 13 0.1× 96 1.0× 17 0.2× 18 0.3× 10 444
Catherine Tessier France 14 97 0.6× 17 0.1× 5 0.1× 44 0.5× 39 0.7× 50 515
Carmen Becker Germany 8 40 0.3× 108 0.8× 6 0.1× 249 3.0× 13 0.2× 22 566
Leandro Miranda Brazil 8 42 0.3× 46 0.3× 61 0.6× 45 0.5× 4 0.1× 18 263
Tessy Badriyah Indonesia 14 130 0.8× 7 0.1× 45 0.5× 84 1.0× 2 0.0× 46 399
Mohamad Hoda Canada 8 80 0.5× 7 0.1× 12 0.1× 17 0.2× 8 0.1× 15 340
Louis Mayaud France 14 139 0.9× 3 0.0× 10 0.1× 73 0.9× 13 0.2× 21 523
Sorayya Rezayi Iran 12 180 1.2× 8 0.1× 10 0.1× 24 0.3× 10 0.2× 45 659

Countries citing papers authored by Vincent Corruble

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Corruble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Corruble

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Corruble. A scholar is included among the top collaborators of Vincent Corruble 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 Vincent Corruble. Vincent Corruble 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.
Corruble, Vincent, et al.. (2022). Automated Play-Testing through RL Based Human-Like Play-Styles Generation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 18(1). 146–154. 2 indexed citations
2.
Corruble, Vincent, et al.. (2021). Configurable Agent With Reward As Input: A Play-Style Continuum Generation. arXiv (Cornell University). 1–8. 6 indexed citations
3.
Poulet, Cyril, Vincent Corruble, Amal El Fallah Seghrouchni, & Geber Ramalho. (2011). The Open System Setting in Timed Multiagent Patrolling. HAL (Le Centre pour la Communication Scientifique Directe). 373–376. 2 indexed citations
4.
Ochs, Magalie, Nicolas Sabouret, & Vincent Corruble. (2009). Simulation of the Dynamics of Nonplayer Characters' Emotions and Social Relations in Games. IEEE Transactions on Computational Intelligence and AI in Games. 1(4). 281–297. 43 indexed citations
5.
Ochs, Magalie, Nicolas Sabouret, & Vincent Corruble. (2009). Simulation de la dynamique des émotions et des relations sociales de personnages virtuels. Revue d intelligence artificielle. 23(2-3). 327–357. 1 indexed citations
6.
Ochs, Magalie, Nicolas Sabouret, & Vincent Corruble. (2008). Modeling the Dynamics of Non-Player Characters' Social Relations in Video Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4(1). 90–95. 2 indexed citations
7.
Corruble, Vincent, et al.. (2007). Discovery Science. Lecture notes in computer science. 2 indexed citations
8.
Ramalho, Geber, et al.. (2006). Dynamic Game Balancing: an Evaluation of User Satisfaction. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 3–8. 41 indexed citations
9.
Corruble, Vincent, et al.. (2006). Designing a Reinforcement Learning-Based Adaptive AI for Large-Scale Strategy Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 121–123. 7 indexed citations
10.
Ramalho, Geber, et al.. (2006). Challenge-Sensitive Action Selection: an Application to Game Balancing. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 194–200. 48 indexed citations
11.
Corruble, Vincent, et al.. (2006). Generating Adequate Representations for Learning from Interaction in Complex Multiagent Simulations. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 46. 512–515. 1 indexed citations
12.
Corruble, Vincent, et al.. (2006). A Dialogue Agent with Adaptive and Proactive Capabilities. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 293–296. 1 indexed citations
13.
Andrews, Peter, et al.. (2002). Forecasting recovery after traumatic brain injury using intelligent data analysis of admission variables and time series physiological data-a comparison with logistic regression. British Journal of Neurosurgery. 97. 326–336. 1 indexed citations
14.
15.
Andrews, Peter J. D., et al.. (2001). Discussing Anomalous Situations using Decision Trees: A Head Injury Case Study. Methods of Information in Medicine. 40(5). 373–379. 5 indexed citations
16.
Corruble, Vincent & Jean‐Gabriel Ganascia. (1997). Induction and the discovery of the causes of scurvy: a computational reconstruction. Artificial Intelligence. 91(2). 205–223. 7 indexed citations
17.
Corruble, Vincent & Jean‐Gabriel Ganascia. (1996). The discovery of the causes of leprosy: a computational analysis. National Conference on Artificial Intelligence. 731–736. 1 indexed citations
18.
Zucker, Jean‐Daniel, et al.. (1994). DICE: a discovery environment integrating inductive bias. Knowledge Discovery and Data Mining. 77(4). 275–286. 1 indexed citations
19.
Corruble, Vincent & Jean‐Gabriel Ganascia. (1993). Discovery of the causes of scurvy: could artificial intelligence have saved a few centuries?. 70–80. 3 indexed citations
20.
Brown, Donald E., et al.. (1993). A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems. Pattern Recognition. 26(6). 953–961. 69 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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