Bernard Van Cutsem

520 citations
12 papers · 242 · h-index 7

Impact in

Papers in

Bernard Van Cutsem

11 papers receiving 215 citations

Peers

Bernard Van Cutsem
Comparison fields: 5 of 60
  • Discrete Mathematics and Combinatorics 60
  • Computational Theory and Mathematics 102
  • Statistics and Probability 43
  • Mathematical Physics 38
  • Artificial Intelligence 111
Replace Robin A. Moser with:
Robin A. Moser Switzerland
Marcos Kiwi Chile
Kevin J. Compton United States
Alan R. Woods Australia
Alfredo Viola Uruguay
Andreas Goerdt Germany
Conrado Martı́nez Spain
David Gillman United States
Luděk Kučera Czechia
Tsung‐Hsi Tsai Taiwan
Bernard Van Cutsem relative to Robin A. Moser Switzerland Robin A. Moser's profile →
Citations per field
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Robin A. Moser · 1×
Citations per year

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-authors

The 5 scholars most cited alongside Bernard Van Cutsem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernard Van Cutsem Line = papers co-authored together Bernard Van Cutsem links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994136
2 199338
3 199420
4
Méthodes et modèles en statistique non paramétrique : exposé fondamental
198813
5
Martingales de convexes fermés aléatoires en dimension finie
19729
6 19977
7 19966
8 19986
9 19943
10 19943
11 19901
12
Introduction à la statistique mathématique. II. Exhaustivité
19690

About Bernard Van Cutsem

Bernard Van Cutsem is a scholar working on Artificial Intelligence, Mathematical Physics, Computational Theory and Mathematics, Statistics and Probability and Geometry and Topology, having authored 12 papers that have together received 242 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Stochastic processes and statistical mechanics (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Advanced Clustering Algorithms Research (2 papers), Fuzzy Systems and Optimization (1 paper), Data Management and Algorithms (1 paper), Mathematical and Theoretical Analysis (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (60 citations), Computational Theory and Mathematics (102 citations), Statistics and Probability (43 citations), Mathematical Physics (38 citations) and Artificial Intelligence (111 citations). Bernard Van Cutsem has collaborated with scholars based in France and Israel. Frequent co-authors include Paul Zimmermann, Philippe Flajolet, Isak Gath, Philippe Capéraà and Bernard Ycart. Their work appears in journals such as Advances in Applied Probability, Computational Statistics & Data Analysis, Theoretical Computer Science, Journal of Classification and Pattern Recognition Letters.

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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