Toon Calders

7.1k total citations · 2 hit papers
111 papers, 3.1k citations indexed

About

Toon Calders is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Toon Calders has authored 111 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Information Systems, 52 papers in Artificial Intelligence and 26 papers in Computational Theory and Mathematics. Recurrent topics in Toon Calders's work include Data Mining Algorithms and Applications (45 papers), Rough Sets and Fuzzy Logic (23 papers) and Data Management and Algorithms (20 papers). Toon Calders is often cited by papers focused on Data Mining Algorithms and Applications (45 papers), Rough Sets and Fuzzy Logic (23 papers) and Data Management and Algorithms (20 papers). Toon Calders collaborates with scholars based in Belgium, Netherlands and Denmark. Toon Calders's co-authors include Faisal Kamiran, Sicco Verwer, Mykola Pechenizkiy, Bart Goethals, Hoang Thanh Lam, Bart Custers, Jan Paredaens, Tal Zarsky, Bart Schermer and Fabian Mörchen and has published in prestigious journals such as Applied Physics Letters, Pattern Recognition and Machine Learning.

In The Last Decade

Toon Calders

106 papers receiving 3.0k citations

Hit Papers

Data preprocessing techniques for classification without ... 2010 2026 2015 2020 2011 2010 200 400 600

Peers

Toon Calders
Comparison fields: 5 of 134
  • Artificial Intelligence 1.8k
  • Safety Research 1.1k
  • Information Systems 921
  • Signal Processing 379
  • Computational Theory and Mathematics 327
Replace Francesca Rossi with:
Francesca Rossi Italy
Omer Reingold United States
Anupam Datta United States
Xintao Wu United States
Toniann Pitassi Canada
Béla Gipp Germany
Paul N. Bennett United States
Adam Perer United States
Yoav Goldberg Israel
Manuel Gomez-Rodriguez Germany
Francesca Rossi Italy View profile →
Citations per field, relative to Toon Calders
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Citations per year, relative to Toon Calders
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Countries citing papers authored by Toon Calders

Since Specialization
Citations

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

Fields of papers citing papers by Toon Calders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toon Calders

This figure shows the co-authorship network connecting the top 25 collaborators of Toon Calders. A scholar is included among the top collaborators of Toon Calders 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 Toon Calders. Toon Calders 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 0
2 7
3 21
4
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles.
7
5
Finding simple temporal cycles in an interaction network
2
6
Towards population reconstruction : extraction of family relationships from historical documents
0
7
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 8724
1
8
What Is Data Mining and How Does It Work
5
9 34
10
Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011).
2
11 151
12 203
13 183
14
Classification Without Discrimination
13
15
Using the Minimum Description Length Principle to Evaluate Process Models
1
16 36
17
Mining Views: Database Views for Data Mining
4
18
Mining frequent items in a stream using flexible windows
0
19
A formal framework for evaluation of information extraction
15
20
A Theoretical Framework for Reasoning about Frequent Intemsets
1

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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