Joost N. Kok

22.9k total citations
130 papers, 3.0k citations indexed

About

Joost N. Kok is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Joost N. Kok has authored 130 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 30 papers in Computational Theory and Mathematics and 19 papers in Molecular Biology. Recurrent topics in Joost N. Kok's work include Logic, programming, and type systems (20 papers), Data Mining Algorithms and Applications (15 papers) and Logic, Reasoning, and Knowledge (14 papers). Joost N. Kok is often cited by papers focused on Logic, programming, and type systems (20 papers), Data Mining Algorithms and Applications (15 papers) and Logic, Reasoning, and Knowledge (14 papers). Joost N. Kok collaborates with scholars based in Netherlands, United States and Italy. Joost N. Kok's co-authors include Siegfried Nijssen, Sander M. Bohté, Grzegorz Rozenberg, Thomas Bäck, Adriaan P. IJzerman, Han La Poutré, Jacobus J. van Hilten, Johan Marinus, Dagmar Verbaan and Stephanie M. van Rooden and has published in prestigious journals such as Bioinformatics, Information Sciences and Movement Disorders.

In The Last Decade

Joost N. Kok

123 papers receiving 2.8k citations

Peers

Joost N. Kok
Comparison fields: 5 of 184
  • Artificial Intelligence 1.1k
  • Computational Theory and Mathematics 647
  • Information Systems 641
  • Molecular Biology 460
  • Cognitive Neuroscience 388
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Citations per field, relative to Joost N. Kok
Joost N. Kok · 1×
Citations per year, relative to Joost N. Kok
Joost N. Kok · 1×

Countries citing papers authored by Joost N. Kok

Since Specialization
Citations

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

Fields of papers citing papers by Joost N. Kok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost N. Kok. 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 Joost N. Kok. The network helps show where Joost N. Kok may publish in the future.

Co-authorship network of co-authors of Joost N. Kok

This figure shows the co-authorship network connecting the top 25 collaborators of Joost N. Kok. A scholar is included among the top collaborators of Joost N. Kok 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 Joost N. Kok. Joost N. Kok 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
# Work Indexed citations
1 3
2 17
3
Graphs, hypergraphs and inductive logic programming
2
4
Frequent subgraph miners: runtimes don't say everything
19
5 3
6
Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings (Lecture Notes in Computer Science)
1
7 150
8
Advances in Mining Graphs, Trees and Sequences: Preface
0
9
Ideal refinement of Datalog clauses using primary keys
1
10
SpikeProp: backpropagation for networks of spiking neurons.
97
11
Unsupervised clustering with spiking neurons by sparse temporal coding and multi-layer RBF networks
1
12
Robot Motion Planning in Unknown Environments Using Neural Networks
4
13
Progress for Local Variables in UNITY
2
14
Model selection for neural networks: comparing MDL and NIC
1
15
Chebyshev best-fit geometric elements
17
16
On the Semantics of Atomized Statements - the Parallel-Choice Option (Extended Abstract)
1
17
On logic programming and the refinement calculus semantics based program transformations
2
18
From failure to succes: comparing a denotational and a declarative semantics for Horn Clause Logic
4
19
Semantic Models for a Version of PARLOG.
5
20
Uniform Abstraction, Atomicity and Contractions in the Comparative Semantics of Concurrent Prolog.
9

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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