Peter van Beek

4.5k citations
121 papers · 3.4k · h-index 31

Impact in

Papers in

Peter van Beek

117 papers receiving 3.1k citations

Peers

Peter van Beek
Comparison fields: 5 of 113
  • Signal Processing 1.2k
  • Computer Networks and Communications 2.0k
  • Software 184
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 637
Replace Yves Deville with:
Yves Deville Belgium
Kenneth C. Sevcik Canada
Christian Bessière France
B. John Oommen Canada
Dirk Van Gucht United States
Eugene C. Freuder United States
Ian P. Gent United Kingdom
Giuseppe F. Italiano Italy
Minos Garofalakis United States
Yi‐Min Wang United States
Peter van Beek relative to Yves Deville Belgium Yves Deville's profile →
Citations per field
00.5×2.9×
Yves Deville · 1×
Citations per year

Countries citing papers authored by Peter van Beek

Since Specialization
Citations

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

Fields of papers citing papers by Peter van Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter van Beek. 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 Peter van Beek. The network helps show where Peter van Beek may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter van Beek, 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 Peter van Beek Line = papers co-authored together Peter van Beek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990280
2
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
2006241
3 2005213
4 1992202
5 1990162
6 2002157
7
CPlan: a constraint programming approach to planning
1999106
8 1997102
9 1995101
10 199789
11
Approximation algorithms for temporal reasoning
198988
12 199867
13
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems
199866
14 200357
15
A fast and simple algorithm for bounds consistency of the all different constraint
200352
16
On the conversion between non-binary constraint satisfaction problems
199852
17 199148
18 199948
19 200146
20 200243

About Peter van Beek

Peter van Beek is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 121 papers that have together received 3.4k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (46 papers), AI-based Problem Solving and Planning (21 papers), Data Management and Algorithms (20 papers), Parallel Computing and Optimization Techniques (12 papers), Bayesian Modeling and Causal Inference (10 papers), Video Analysis and Summarization (9 papers), Advanced Vision and Imaging (9 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Networks and Communications (2.0k citations), Software (184 citations), Artificial Intelligence (1.4k citations) and Computer Vision and Pattern Recognition (637 citations). Peter van Beek has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Rina Dechter, Robin Cohen, Xinguang Chen, Henry Kautz, Marc Vilain, Toby Walsh, Francesca Rossi, Fahiem Bacchus, M. Ibrahim Sezan and Hao Pan. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science, Journal of Heuristics, Journal of the ACM and European Journal of Operational Research.

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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