Peter van Beek

4.5k citations
97 papers · 2.0k · h-index 26

Impact in

Papers in

Peter van Beek

92 papers receiving 1.8k citations

Peers

Peter van Beek
Comparison fields: 5 of 101
  • Signal Processing 750
  • Computer Networks and Communications 1.0k
  • Computer Vision and Pattern Recognition 517
  • Artificial Intelligence 759
  • Software 76
Replace Dirk Van Gucht with:
Dirk Van Gucht United States
Tomasz Radzik United Kingdom
Kenneth C. Sevcik Canada
Feifei Li China
Renzo Angles Chile
Giuseppe F. Italiano Italy
Eugene C. Freuder United States
Yi‐Min Wang United States
Yves Deville Belgium
Theodore Johnson United States
Peter van Beek relative to Dirk Van Gucht United States Dirk Van Gucht's profile →
Citations per field
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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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
2006170
2 1992156
3 2002141
4 1990119
5 199780
6
CPlan: a constraint programming approach to planning
199977
7 199570
8
Approximation algorithms for temporal reasoning
198969
9 199757
10 199856
11 200350
12 199945
13
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems
199841
14 199141
15 201938
16 200237
17 201435
18 198735
19 200133
20
On the conversion between non-binary constraint satisfaction problems
199833

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 Hardware and Architecture, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (30 papers), Data Management and Algorithms (16 papers), AI-based Problem Solving and Planning (15 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Vision and Imaging (9 papers), Video Analysis and Summarization (8 papers), Video Coding and Compression Technologies (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Signal Processing (750 citations), Computer Networks and Communications (1.0k citations), Computer Vision and Pattern Recognition (517 citations), Artificial Intelligence (759 citations) and Software (76 citations). Peter van Beek has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robin Cohen, Rina Dechter, Xinguang Chen, Toby Walsh, Francesca Rossi, M. Ibrahim Sezan, Hao Pan, Fahiem Bacchus, Grzegorz Kondrak and A. Murat Tekalp. Their work appears in journals such as Artificial Intelligence, Journal of the ACM, European Journal of Operational Research, Journal of Heuristics and Theoretical Computer Science.

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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