W.C.M. van Beers

31 total papers · 1.3k total citations
19 papers, 900 citations indexed

About

W.C.M. van Beers is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, W.C.M. van Beers has authored 19 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 15 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in W.C.M. van Beers's work include Advanced Multi-Objective Optimization Algorithms (15 papers), Simulation Techniques and Applications (14 papers) and Optimal Experimental Design Methods (7 papers). W.C.M. van Beers is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (15 papers), Simulation Techniques and Applications (14 papers) and Optimal Experimental Design Methods (7 papers). W.C.M. van Beers collaborates with scholars based in Netherlands, Belgium and United States. W.C.M. van Beers's co-authors include J.P.C. Kleijnen, Inneke Van Nieuwenhuyse and William E. Biles and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Journal of Global Optimization.

In The Last Decade

W.C.M. van Beers

19 papers receiving 849 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
W.C.M. van Beers	429	413	225	112	79	19	900
Jason L. Loeppky	394 0.9×	348 0.8×	266 1.2×	132 1.2×	70 0.9×	30	983
Kai-Tai Fang	335 0.8×	297 0.7×	199 0.9×	75 0.7×	133 1.7×	12	899
Martin Meckesheimer	349 0.8×	216 0.5×	212 0.9×	163 1.5×	94 1.2×	13	755
Ying Hung	443 1.0×	314 0.8×	271 1.2×	150 1.3×	64 0.8×	35	807
Thomas M. Cioppa	248 0.6×	482 1.2×	135 0.6×	97 0.9×	122 1.5×	12	1.0k
Michael J. Sasena	594 1.4×	308 0.7×	272 1.2×	198 1.8×	73 0.9×	12	934
Jan Griebsch	408 1.0×	206 0.5×	258 1.1×	131 1.2×	76 1.0×	8	822
Karel Crombecq	464 1.1×	235 0.6×	306 1.4×	151 1.3×	57 0.7×	17	1.0k
Werner G. Müller	266 0.6×	292 0.7×	197 0.9×	99 0.9×	44 0.6×	51	961
J. Sacks	281 0.7×	231 0.6×	412 1.8×	156 1.4×	26 0.3×	17	898

Countries citing papers authored by W.C.M. van Beers

Since Specialization

Citations

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

Fields of papers citing papers by W.C.M. van Beers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.C.M. van Beers. 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 W.C.M. van Beers. The network helps show where W.C.M. van Beers may publish in the future.

Co-authorship network of co-authors of W.C.M. van Beers

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

All Works

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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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