Bernard Van Cutsem

520 total citations
12 papers, 242 citations indexed

About

Bernard Van Cutsem is a scholar working on Artificial Intelligence, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Bernard Van Cutsem has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Mathematical Physics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Bernard Van Cutsem's work include Bayesian Methods and Mixture Models (3 papers), Stochastic processes and statistical mechanics (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Bernard Van Cutsem is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Stochastic processes and statistical mechanics (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Bernard Van Cutsem collaborates with scholars based in France and Israel. Bernard Van Cutsem's co-authors include Paul Zimmermann, Philippe Flajolet, Isak Gath, Philippe Capéraà and Bernard Ycart and has published in prestigious journals such as Pattern Recognition Letters, Computational Statistics & Data Analysis and Theoretical Computer Science.

In The Last Decade

Bernard Van Cutsem

11 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernard Van Cutsem France	7	111	102	60	43	38	12	242
David Gillman United States	8	105 0.9×	62 0.6×	15 0.3×	33 0.8×	35 0.9×	12	244
Tsung‐Hsi Tsai Taiwan	10	128 1.2×	54 0.5×	38 0.6×	62 1.4×	107 2.8×	22	261
William Chen United States	5	64 0.6×	39 0.4×	97 1.6×	64 1.5×	26 0.7×	13	451
Alfredo Viola Uruguay	8	145 1.3×	68 0.7×	53 0.9×	12 0.3×	56 1.5×	28	265
Marcos Kiwi Chile	9	164 1.5×	155 1.5×	38 0.6×	20 0.5×	52 1.4×	36	289
Alan R. Woods Australia	10	206 1.9×	304 3.0×	44 0.7×	27 0.6×	33 0.9×	16	378
Robin A. Moser Switzerland	4	78 0.7×	191 1.9×	68 1.1×	46 1.1×	14 0.4×	5	259
Conrado Martı́nez Spain	8	146 1.3×	51 0.5×	26 0.4×	14 0.3×	38 1.0×	32	272
Kevin J. Compton United States	13	215 1.9×	259 2.5×	50 0.8×	17 0.4×	38 1.0×	33	393
Jerzy Jaworski Poland	11	55 0.5×	68 0.7×	66 1.1×	23 0.5×	136 3.6×	35	283

Countries citing papers authored by Bernard Van Cutsem

Since Specialization

Citations

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

Fields of papers citing papers by Bernard Van Cutsem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard Van Cutsem. 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 Bernard Van Cutsem. The network helps show where Bernard Van Cutsem may publish in the future.

Co-authorship network of co-authors of Bernard Van Cutsem

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

All Works

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12 of 12 papers shown

Cutsem, Bernard Van. (1998). Indexed Dendrograms on random Dissimilarities. Journal of Classification. 15(1). 93–127. 6 indexed citations

Gath, Isak, et al.. (1997). Data induced metric and fuzzy clustering of non-convex patterns of arbitrary shape. Pattern Recognition Letters. 18(6). 541–553. 7 indexed citations

Cutsem, Bernard Van. (1996). Combinatorial structures and structures for classification. Computational Statistics & Data Analysis. 23(1). 169–188. 6 indexed citations

Flajolet, Philippe, Paul Zimmermann, & Bernard Van Cutsem. (1994). A calculus for the random generation of labelled combinatorial structures. Theoretical Computer Science. 132(1-2). 1–35. 136 indexed citations

Cutsem, Bernard Van & Bernard Ycart. (1994). Renewal-type behavior of absorption times in Markov chains. Advances in Applied Probability. 26(4). 988–1005. 3 indexed citations

Cutsem, Bernard Van. (1994). Classification and Dissimilarity Analysis. Lecture notes in statistics. 20 indexed citations

Cutsem, Bernard Van & Bernard Ycart. (1994). Renewal-type behavior of absorption times in Markov chains. Advances in Applied Probability. 26(4). 988–1005. 3 indexed citations

Cutsem, Bernard Van & Isak Gath. (1993). Detection of outliers and robust estimation using fuzzy clustering. Computational Statistics & Data Analysis. 15(1). 47–61. 38 indexed citations

Cutsem, Bernard Van. (1990). Minimal superior ultrametrics under order constraint. Discrete Mathematics. 84(2). 201–204. 1 indexed citations

10.

Capéraà, Philippe & Bernard Van Cutsem. (1988). Méthodes et modèles en statistique non paramétrique : exposé fondamental. Medical Entomology and Zoology. 13 indexed citations

11.

Cutsem, Bernard Van. (1972). Martingales de convexes fermés aléatoires en dimension finie. French digital mathematics library (Numdam). 8(4). 365–385. 9 indexed citations

12.

Cutsem, Bernard Van, et al.. (1969). Introduction à la statistique mathématique. II. Exhaustivité. French digital mathematics library (Numdam). 5(4). 289–322.

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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