Frans Voorbraak

33 papers receiving 589 citations

Peers

Frans Voorbraak
Comparison fields: 5 of 142
  • Artificial Intelligence 252
  • Management Science and Operations Research 133
  • Molecular Biology 126
  • Computational Theory and Mathematics 87
  • Computer Vision and Pattern Recognition 54
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Countries citing papers authored by Frans Voorbraak

Since Specialization
Citations

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

Fields of papers citing papers by Frans Voorbraak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frans Voorbraak

This figure shows the co-authorship network connecting the top 25 collaborators of Frans Voorbraak. A scholar is included among the top collaborators of Frans Voorbraak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frans Voorbraak. Frans Voorbraak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 13
3 39
4 139
5 40
6 21
7 5
8 1
9 7
10 1
11
A strategy for robot surveillance using the hierarchical structure of the environment
5
12
Hierarchical decision-theoretic robotic surveillance
5
13
Preference-based Semantics for Nonmonotonic Logics
7
14
Generalized Kripke models for epistemic logic
7
15 137
16
Conditionals, probability, and belief revision
1
17
On the justification of Dempster's rule of combination
4
18
A computationally efficient approximation of Dempster-Shafer theory
17
19
The logic of actual obligation. An alternative approach to deontic logic
6
20
A simplification of the completeness proofs for Guaspari and Solovav's R
3

About Frans Voorbraak

Frans Voorbraak is a scholar working on General Decision Sciences, Health Informatics and Artificial Intelligence, having authored 36 papers that have together received 648 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (11 papers), Bayesian Modeling and Causal Inference (8 papers) and AI-based Problem Solving and Planning (6 papers). The work is most often cited by research in Management Science and Operations Research (133 citations), Artificial Intelligence (252 citations) and Computational Theory and Mathematics (87 citations). Frans Voorbraak has collaborated with scholars based in Netherlands, Switzerland and Canada. Frequent co-authors include Jan M. Ruijter, Jari M. Tuomi, Douglas L. Jones, Bouke A. de Boer, Antoon F.M. Moorman, Phyllis I. Spuls, Job P. van der Heijden, N. F. de Keizer, Jan D. Bos and Leonard Witkamp. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Development.

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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