Jan Struyf

2.4k total citations
43 papers, 1.0k citations indexed

About

Jan Struyf is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jan Struyf has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Information Systems and 9 papers in Molecular Biology. Recurrent topics in Jan Struyf's work include Data Mining Algorithms and Applications (13 papers), Bayesian Modeling and Causal Inference (7 papers) and Machine Learning in Bioinformatics (5 papers). Jan Struyf is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Bayesian Modeling and Causal Inference (7 papers) and Machine Learning in Bioinformatics (5 papers). Jan Struyf collaborates with scholars based in Belgium, Slovenia and Brazil. Jan Struyf's co-authors include Sašo Džeroski, Celine Vens, Hendrik Blockeel, Leander Schietgat, Dragi Kocev, David Page, Seth Dobrin, Jan Ramon, Wannes Meert and Maurice Bruynooghe and has published in prestigious journals such as Applied Physics Letters, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Jan Struyf

30 papers receiving 963 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Struyf Belgium 11 681 350 237 178 132 43 1.0k
Ricardo Cerri Brazil 16 494 0.7× 225 0.6× 120 0.5× 148 0.8× 87 0.7× 69 844
Albert Orriols-Puig Spain 15 688 1.0× 101 0.3× 85 0.4× 126 0.7× 75 0.6× 33 874
Mingjie Zhao China 10 447 0.7× 209 0.6× 67 0.3× 320 1.8× 54 0.4× 20 1.0k
Wojciech Siedlecki United States 5 580 0.9× 86 0.2× 92 0.4× 271 1.5× 127 1.0× 6 970
H. Hannah Inbarani India 15 463 0.7× 92 0.3× 211 0.9× 207 1.2× 404 3.1× 49 1.0k
Liang Huang China 18 1.3k 2.0× 119 0.3× 150 0.6× 294 1.7× 34 0.3× 65 1.6k
A. Fazel Famili Canada 10 219 0.3× 132 0.4× 97 0.4× 58 0.3× 66 0.5× 22 625
Malay K. Pakhira India 7 569 0.8× 77 0.2× 120 0.5× 264 1.5× 67 0.5× 22 915
Jiaxuan You United States 11 721 1.1× 167 0.5× 165 0.7× 254 1.4× 101 0.8× 20 1.4k
Md. Monirul Kabir Bangladesh 12 445 0.7× 111 0.3× 63 0.3× 257 1.4× 78 0.6× 33 920

Countries citing papers authored by Jan Struyf

Since Specialization
Citations

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

Fields of papers citing papers by Jan Struyf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Struyf

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Struyf. A scholar is included among the top collaborators of Jan Struyf 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 Jan Struyf. Jan Struyf 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
1.
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2010). Contextual variable elimination with overlapping contexts. Lirias (KU Leuven). 193–201.
2.
Slavkov, Ivica, et al.. (2010). Finding explained groups of time-course gene expression profiles with predictive clustering trees. Molecular BioSystems. 6(4). 729–740. 19 indexed citations
3.
Schietgat, Leander, Celine Vens, Jan Struyf, et al.. (2010). Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinformatics. 11(1). 2–2. 138 indexed citations
4.
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2008). Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundamenta Informaticae. 89(1). 131–160. 21 indexed citations
5.
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2008). Learning Ground CP-logic Theories by means of Bayesian Network Techniques. Lirias (KU Leuven). 5 indexed citations
6.
Struyf, Jan, Seth Dobrin, & David Page. (2008). Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia. BMC Genomics. 9(1). 531–531. 33 indexed citations
7.
Džeroski, Sašo, et al.. (2007). Knowledge discovery in inductive databases : 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers. Springer eBooks. 4 indexed citations
8.
Davis, Jesse, Irene M. Ong, Jan Struyf, et al.. (2007). Change of representation for statistical relational learning. International Joint Conference on Artificial Intelligence. 16(2). 2719–2726. 20 indexed citations
9.
Struyf, Jan, et al.. (2007). First Order Alternating Decision Trees. Lirias (KU Leuven). 1 indexed citations
10.
Schietgat, Leander, Hendrik Blockeel, Jan Struyf, Sašo Džeroski, & Amanda Clare. (2006). Decision trees for hierarchical multilabel classification: A case study in functional genomics. Lirias (KU Leuven). 423–424. 13 indexed citations
11.
Struyf, Jan, Celine Vens, Tom Croonenborghs, Sašo Džeroski, & Hendrik Blockeel. (2005). Applying predictive clustering trees to the inductive logic programming 2005 challenge data. Lirias (KU Leuven). 111–116. 1 indexed citations
12.
Ramon, Jan & Jan Struyf. (2004). Efficient theta-subsumption of sets of patterns. Lirias (KU Leuven). 95–102. 1 indexed citations
13.
Struyf, Jan, et al.. (2003). Query optimization: Combining query packs and the once-tranformation. Lirias (KU Leuven). 105–115. 2 indexed citations
14.
Verbaeten, Sofie, et al.. (2003). Attribute-value and first order data mining within the STULONG project. Lirias (KU Leuven). 108–119.
15.
Costa, Vı́tor Santos, Ashwin Srinivasan, Rui Camacho, et al.. (2003). Query transformations for improving the efficiency of ilp systems. Journal of Machine Learning Research. 4(4). 465–491. 24 indexed citations
16.
Blockeel, Hendrik, Maurice Bruynooghe, Sašo Džeroski, Jan Ramon, & Jan Struyf. (2002). Hierarchical multi-classification. Lirias (KU Leuven). 21–35. 46 indexed citations
17.
Blockeel, Hendrik, Kurt Driessens, Jan Ramon, et al.. (2001). First order models for the predictive toxicology challenge. Lirias (KU Leuven). 1–12. 2 indexed citations
18.
Blockeel, Hendrik & Jan Struyf. (2001). Deriving biased classifiers for better ROC performance. The Information Society. 26(1). 124–127. 5 indexed citations
19.
Blockeel, Hendrik & Jan Struyf. (2001). Frankenstein classifiers: Some experiments on the Sisyphus data set. Lirias (KU Leuven). 1–12.
20.
Blockeel, Hendrik & Jan Struyf. (2001). Efficient algorithms for decision tree cross-validation. Lirias (KU Leuven). 11–18. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026