Cees Witteveen

2.0k citations
91 papers · 997 · h-index 18

Impact in

Papers in

Cees Witteveen

88 papers receiving 924 citations

Peers

Cees Witteveen
Comparison fields: 5 of 73
  • Artificial Intelligence 539
  • Computer Networks and Communications 244
  • Software 38
  • Industrial and Manufacturing Engineering 97
  • Computational Theory and Mathematics 142
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William Yeoh United States
E. Fernández-Gaucherand United States
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Citations per field
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Citations per year

Countries citing papers authored by Cees Witteveen

Since Specialization
Citations

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

Fields of papers citing papers by Cees Witteveen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cees Witteveen. 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 Cees Witteveen. The network helps show where Cees Witteveen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201480
2
Boolean games
200163
3 201358
4 201755
5 201946
6 200343
7 200234
8
Multi-agent Planning An introduction to planning and coordination
200534
9 200330
10 201729
11 200726
12 200824
13 201722
14 200320
15
ThroughputScheduler: Learning to Schedule on Heterogeneous Hadoop Clusters
201320
16 201820
17 201719
18 200519
19 201017
20 201416

About Cees Witteveen

Cees Witteveen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 91 papers that have together received 997 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (32 papers), AI-based Problem Solving and Planning (23 papers), Multi-Agent Systems and Negotiation (23 papers), Constraint Satisfaction and Optimization (18 papers), Data Management and Algorithms (8 papers), Formal Methods in Verification (8 papers), Auction Theory and Applications (8 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Artificial Intelligence (539 citations), Computer Networks and Communications (244 citations), Software (38 citations), Industrial and Manufacturing Engineering (97 citations) and Computational Theory and Mathematics (142 citations). Cees Witteveen has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Mathijs de Weerdt, Nico Roos, C. Vuik, Wiebe van der Hoek, A. Bos, Bram de Wilde, John-Jules Meyer, Tanja Alderliesten, Peter A. N. Bosman and Paul Harrenstein. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Artificial Intelligence, Energies, Medical Physics and Journal of Artificial Intelligence 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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