Sam Maes

460 total citations
15 papers, 288 citations indexed

About

Sam Maes is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Sam Maes has authored 15 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 1 paper in Control and Systems Engineering. Recurrent topics in Sam Maes's work include Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (4 papers) and Data Quality and Management (4 papers). Sam Maes is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (4 papers) and Data Quality and Management (4 papers). Sam Maes collaborates with scholars based in Belgium, France and Netherlands. Sam Maes's co-authors include Bernard Manderick, Karl Tuyls, Bram Vanschoenwinkel, Stijn Meganck, Philippe Leray, Joke Reumers, Katja Verbeeck, Tom Lenaerts, Piet van Remortel and Ann Nowé and has published in prestigious journals such as International Journal of Approximate Reasoning, Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) and VUBIR (Vrije Universiteit Brussel).

In The Last Decade

Sam Maes

15 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Maes Belgium	5	249	89	84	35	33	15	288
Jon T.S. Quah Singapore	4	205 0.8×	92 1.0×	95 1.1×	33 0.9×	21 0.6×	8	264
Johannes Jurgovsky Germany	4	266 1.1×	101 1.1×	81 1.0×	45 1.3×	35 1.1×	4	307
Frédéric Oblé Belgium	6	292 1.2×	111 1.2×	69 0.8×	59 1.7×	35 1.1×	7	334
Yacine Kessaci France	2	242 1.0×	90 1.0×	51 0.6×	49 1.4×	31 0.9×	3	271
Suhair Alshehri Saudi Arabia	10	216 0.9×	50 0.6×	174 2.1×	34 1.0×	18 0.5×	29	349
Mark G. Kelly United Kingdom	5	182 0.7×	23 0.3×	63 0.8×	6 0.2×	9 0.3×	7	251
Jinghua Feng China	10	501 2.0×	67 0.8×	207 2.5×	5 0.1×	35 1.1×	13	575
Marcin Szeląg Poland	6	144 0.6×	25 0.3×	99 1.2×	7 0.2×	12 0.4×	9	305
Steven W. Norton United States	6	214 0.9×	17 0.2×	91 1.1×	4 0.1×	25 0.8×	8	250
Jiaming Huang China	10	218 0.9×	11 0.1×	107 1.3×	6 0.2×	15 0.5×	14	291

Countries citing papers authored by Sam Maes

Since Specialization

Citations

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

Fields of papers citing papers by Sam Maes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Maes

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Meganck, Stijn, Sam Maes, Philippe Leray, & Bernard Manderick. (2006). Learning Semi-Markovian Causal Models using Experiments. VUBIR (Vrije Universiteit Brussel). 18(1). 195–206. 3 indexed citations

Meganck, Stijn, Sam Maes, Bernard Manderick, & Philippe Leray. (2006). Distributed learning of Multi-Agent Causal Models. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 285–288. 6 indexed citations

Maes, Sam, Stijn Meganck, & Bernard Manderick. (2006). Inference in multi-agent causal models. International Journal of Approximate Reasoning. 46(2). 274–299. 7 indexed citations

Maes, Sam & Philippe Leray. (2006). Multi-agent causal models for dependability analysis. 5 pp.–798. 1 indexed citations

Meganck, Stijn, Sam Maes, & Bernard Manderick. (2005). Identification in Chain Multi-Agent Causal Models.. VUBIR (Vrije Universiteit Brussel). 1 indexed citations

Maes, Sam, Stijn Meganck, & Bernard Manderick. (2005). Identification in Chain Multi-Agent Causal Models. The Florida AI Research Society. 791–792. 2 indexed citations

Maes, Sam, Stijn Meganck, & Bernard Manderick. (2005). Identification of Causal Effects in Multi-Agent Causal Models.. VUBIR (Vrije Universiteit Brussel). 178–182. 3 indexed citations

Maes, Sam, Stijn Meganck, & Bernard Manderick. (2004). Multi-Agent Identification of Causal Effects. VUBIR (Vrije Universiteit Brussel). 3 indexed citations

Maes, Sam, Joke Reumers, & Bernard Manderick. (2004). Identifiability of causal effects in a multi-agent causal model. 605–608. 6 indexed citations

10.

Tuyls, Karl, Tom Lenaerts, Katja Verbeeck, Sam Maes, & Bernard Manderick. (2002). Towards a relation between learning agents and evolutionary dynamics. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 315–322. 7 indexed citations

11.

Tuyls, Karl, Sam Maes, & Bernard Manderick. (2002). Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information.. VUBIR (Vrije Universiteit Brussel). 226–232. 2 indexed citations

12.

Maes, Sam, Karl Tuyls, Bram Vanschoenwinkel, & Bernard Manderick. (2002). Credit Card Fraud Detection Using Bayesian and Neural Networks. VUBIR (Vrije Universiteit Brussel). 240 indexed citations

13.

Lenaerts, Tom, Sam Maes, Karl Tuyls, et al.. (2001). Niching and evolutionary transitions in multi-agent systems. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 309–312. 2 indexed citations

14.

Maes, Sam, Karl Tuyls, & Bernard Manderick. (2001). Modeling a Multi-Agent Environment. Combining Influence Diagrams. VUBIR (Vrije Universiteit Brussel). 4 indexed citations

15.

Maes, Sam, Karl Tuyls, & Bernard Manderick. (2001). Combining Influence Diagrams to Model Agents. VUBIR (Vrije Universiteit Brussel). 1 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.

Explore authors with similar magnitude of impact