Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Benchmarking state-of-the-art classification algorithms for credit scoring
2003616 citationsBart Baesens, Stijn Viaene et al.profile →
Benchmarking Least Squares Support Vector Machine Classifiers
2003590 citationsBart Baesens, Stijn Viaene et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Jan Vanthienen
Since
Specialization
Citations
This map shows the geographic impact of Jan Vanthienen'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 Vanthienen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Vanthienen more than expected).
This network shows the impact of papers produced by Jan Vanthienen. 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 Vanthienen. The network helps show where Jan Vanthienen may publish in the future.
Co-authorship network of co-authors of Jan Vanthienen
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vanthienen.
A scholar is included among the top collaborators of Jan Vanthienen 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 Vanthienen. Jan Vanthienen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ma, Baojun, Karel Dejaeger, Jan Vanthienen, & Bart Baesens. (2011). Software defect prediction based on association rule classification. Lirias (KU Leuven).4 indexed citations
9.
Vanthienen, Jan, David Martens, Stijn Goedertier, & Bart Baesens. (2008). Placing process intelligence within the business intelligence framework. Journal of the Association for Information Systems.3 indexed citations
10.
Mues, Christophe, et al.. (2007). An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules. ePrints Soton (University of Southampton).2 indexed citations
11.
Huysmans, Johan, Bart Baesens, & Jan Vanthienen. (2004). Web usage mining: a practical study. ePrints Soton (University of Southampton).6 indexed citations
12.
Mues, Christophe, et al.. (2003). Knowledge discovery in data: van academische denkoefening naar bedrijfsrelevante praktijk. ePrints Soton (University of Southampton).
13.
Baesens, Bart, Christophe Mues, Rudy Setiono, Manu De Backer, & Jan Vanthienen. (2003). Building intelligent credit scoring systems using decision tables- Best paper nomination. International Conference on Enterprise Information Systems. 19–25.1 indexed citations
14.
Viaene, Stijn, et al.. (2000). Sensitivity based pruning of input variables by means of weight cascaded retraining. ePrints Soton (University of Southampton).1 indexed citations
15.
Vanthienen, Jan, et al.. (1995). A modelling approach to knowledge based systems verification. Document Server@UHasselt (UHasselt).1 indexed citations
16.
Vanthienen, Jan, et al.. (1995). A modularization approach to the verification of knowledge based systems. ePrints Soton (University of Southampton).1 indexed citations
17.
Subramanian, G. Mani, et al.. (1994). A more general comparison of the decision table and tree. Communications of the ACM. 37(2). 109–113.4 indexed citations
18.
Vanthienen, Jan, et al.. (1992). Developments in decision tables: evolution, applications and a proposed standard. Lirias (KU Leuven).6 indexed citations
19.
Vanthienen, Jan. (1991). A longest path algorithm to display decision tables. The Computer Journal. 34(4). 358–362.2 indexed citations
20.
Vanthienen, Jan, et al.. (1981). Procedural Decision Support Through The Use of PRODEMO. International Conference on Information Systems. 10.5 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.