Balder ten Cate

83 papers receiving 1.1k citations

Peers

Balder ten Cate
Comparison fields: 5 of 54
  • Artificial Intelligence 1.0k
  • Computer Networks and Communications 593
  • Computational Theory and Mathematics 334
  • Signal Processing 205
  • Management Science and Operations Research 152
Replace Reinhard Pichler with:
Reinhard Pichler Austria
Frank Neven Belgium
Wim Martens Germany
Thomas Schwentick Germany
Luc Segoufin France
Jeff Naughton United States
Stavros S. Cosmadakis United States
Michel Adiba France
Nicolas Spyratos France
Rodney Topor Australia
Balder ten Cate relative to Reinhard Pichler Austria Reinhard Pichler's profile →
Citations per field
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Reinhard Pichler · 1×
Citations per year

Countries citing papers authored by Balder ten Cate

Since Specialization
Citations

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

Fields of papers citing papers by Balder ten Cate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balder ten Cate. 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 Balder ten Cate. The network helps show where Balder ten Cate may publish in the future.

Co-authorship network of co-authors of Balder ten Cate

This figure shows the co-authorship network connecting the top 25 collaborators of Balder ten Cate. A scholar is included among the top collaborators of Balder ten Cate 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 Balder ten Cate. Balder ten Cate 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 2
2 0
3 10
4
PPDL: Probabilistic Programming with Datalog.
1
5 13
6 10
7 1
8 10
9 1
10 14
11 5
12 5
13
The importance of being discrete
3
14
Logic, Language, and Computation: 6th International Tbilisi Symposium on Logic, Language, and Computation,TbiLLC 2005 Batumi, Georgia, September 12-16, 2005. Revised Selected Papers
2
15 5
16
Definitorially complete description logics
38
17
On the Complexity of hybrid logics with binders
22
18
Guarded fragments with constants
2
19
Modal Logics for Products of Topologies
6
20
On the logic of d-separation
1

About Balder ten Cate

Balder ten Cate is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (46 papers), Semantic Web and Ontologies (39 papers) and Advanced Database Systems and Queries (32 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Networks and Communications (593 citations) and Computational Theory and Mathematics (334 citations). Balder ten Cate has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Phokion G. Kolaitis, M. Marx, Wang-Chiew Tan, Carsten Lutz, Bogdan Alexe, Víctor Dalmau, Benny Kimelfeld, Patrick Blackburn, Dan Olteanu and Luc Segoufin. Their work appears in journals such as Communications of the ACM, Journal of the ACM and Proceedings of the VLDB Endowment.

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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