Christian Borgelt

5.4k citations
101 papers · 2.4k indexed · h-index 25
Topics
Data Mining Algorithms and Applications (24 papers)Rough Sets and Fuzzy Logic (16 papers)Bayesian Modeling and Causal Inference (14 papers)
Partner nations
GermanySpainJapan

In The Last Decade

Christian Borgelt

90 papers receiving 2.2k citations

Peers

Christian Borgelt
Comparison fields: 5 of 174
  • Artificial Intelligence 1.1k
  • Information Systems 859
  • Computational Theory and Mathematics 552
  • Signal Processing 459
  • Computer Vision and Pattern Recognition 392
Replace Nada Lavrač with:
Nada Lavrač Slovenia
Liangxiao Jiang China
Hendrik Blockeel Belgium
Tony Martinez United States
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Citations per field
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Citations per year

Countries citing papers authored by Christian Borgelt

Since Specialization
Citations

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

Fields of papers citing papers by Christian Borgelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Borgelt

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Borgelt. A scholar is included among the top collaborators of Christian Borgelt 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 Christian Borgelt. Christian Borgelt 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 12
3 29
4 6
5 48
6 20
7 10
8
Support Computation for Mining Frequent Subgraphs in a Single Graph.
40
9
From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University ... Data Analysis, and Knowledge Organization)
1
10 6
11 3
12
Recursion Pruning for the Apriori Algorithm.
27
13
Fast Fuzzy Clustering of Web Page Collections
14
14
Dependence relationships between Gene Ontology terms based on TIGR gene product annotations
35
15 2
16 4
17 9
18 13
19
Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung.
0
20 1

About Christian Borgelt

Christian Borgelt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 101 papers that have together received 2.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (24 papers), Rough Sets and Fuzzy Logic (16 papers) and Bayesian Modeling and Causal Inference (14 papers). The work is most often cited by research in Signal Processing (459 citations), Information Systems (859 citations) and Artificial Intelligence (1.1k citations). Christian Borgelt has collaborated with scholars based in Germany, Spain and Japan. Frequent co-authors include Michael R. Berthold, Rudolf Kruse, Frank Klawonn, Matthias Steinbrecher, Christian Döring, Heiko Timm, Christian Braune, Sanaz Mostaghim, Christian Moewes and Sonja Grün. Their work appears in journals such as Scientific Reports, Information Sciences and Epilepsia.

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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2026