Peter van Beek

4.4k citations
95 papers · 2.0k indexed · h-index 26

Peter van Beek

90 papers receiving 1.8k citations

Peers

Peter van Beek
Comparison fields: 5 of 101
  • Signal Processing 748
  • Computer Networks and Communications 1.0k
  • Computer Vision and Pattern Recognition 520
  • Artificial Intelligence 752
  • Software 75
Replace Dirk Van Gucht with:
Dirk Van Gucht United States
Tomasz Radzik United Kingdom
Feifei Li China
Renzo Angles Chile
Giuseppe F. Italiano Italy
Eugene C. Freuder United States
Yves Deville Belgium
Theodore Johnson United States
Philip Laird United States
Fabrizio Luccio Italy
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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-authorship network

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
#Work
1
Bayesian Network Structure Learning with Side Constraints
20185
2
Exploiting causal independence using weighted model counting
20083
3
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
2006168
4
Performing incremental Bayesian inference by dynamic model counting
20069
5
Principles and practice of constraint programming - CP 2005 : 11th International Conference, CP 2005, Sitges, Spain, October 1-5, 2005 : proceedings
20052
6
Learning basic block scheduling heuristics from optimal data
20051
7
EMPIRICAL ANALYSIS OF WORK SCHEDULE FLEXIBILITY: IMPLICATIONS FOR ROAD PRICING AND DRIVER INFORMATION SYSTEMS. IN: TRANSPORT AND INFORMATION SYSTEMS
20031
8
A fast and simple algorithm for bounds consistency of the all different constraint
200330
9
CPlan: a constraint programming approach to planning
199976
10
Dairy barns and queueing networks
19980
11
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems
199841
12 199757
13
PARKING RESTRICTIONS IN EMPLOYMENT CENTERS: IMPLICATIONS FOR PUBLIC TRANSPORT AND LAND USE
19954
14
On the inherent level of local consistency in constraint networks
199410
15
Reasoning about qualitative temporal information
19931
16
On the minimality and decomposability of constraint networks
199220
17
Resolving plan ambiguity for cooperative response generation
199119
18
Resolving Plan Ambiguity for Response Generation
19902
19
Approximation algorithms for temporal reasoning
198969
20 19788

About Peter van Beek

Peter van Beek is a scholar working on Signal Processing, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 95 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 (748 citations), Computer Networks and Communications (1.0k citations), Computer Vision and Pattern Recognition (520 citations), Artificial Intelligence (752 citations) and Software (75 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, European Journal of Operational Research, Journal of Heuristics, Journal of the ACM and IEEE Signal Processing Magazine.

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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