Wouter Verbeke

3.9k citations
78 papers · 2.7k · h-index 28

Impact in

Papers in

    • Imbalanced Data Classification Techniques 20
    • Anomaly Detection Techniques and Applications 5
    • Customer churn and segmentation 22
    • Consumer Market Behavior and Pricing 7

Wouter Verbeke

69 papers receiving 2.5k citations

Peers

Wouter Verbeke
Comparison fields: 5 of 109
  • Marketing 930
  • Organizational Behavior and Human Resource Management 374
  • Software 130
  • Automotive Engineering 378
  • Information Systems 613
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David Martens Belgium
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Citations per year

Countries citing papers authored by Wouter Verbeke

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Verbeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wouter Verbeke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter Verbeke Line = papers co-authored together Wouter Verbeke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011323
2 2010249
3 2016168
4 2011156
5 2017127
6 2012125
7 2013104
8 201191
9 201578
10 201574
11 201773
12 201571
13 201169
14 202368
15 201864
16 202061
17 201956
18 201947
19 202243
20 201837

About Wouter Verbeke

Wouter Verbeke is a scholar working on Artificial Intelligence, Marketing, Information Systems, Management Information Systems and Organizational Behavior and Human Resource Management, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Customer churn and segmentation (22 papers), Imbalanced Data Classification Techniques (20 papers), Data Mining Algorithms and Applications (13 papers), Customer Service Quality and Loyalty (9 papers), Financial Distress and Bankruptcy Prediction (8 papers), Big Data and Business Intelligence (8 papers), Consumer Market Behavior and Pricing (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Marketing (930 citations), Organizational Behavior and Human Resource Management (374 citations), Software (130 citations), Automotive Engineering (378 citations) and Information Systems (613 citations). Wouter Verbeke has collaborated with scholars based in Belgium, United Kingdom and Chile. Frequent co-authors include Bart Baesens, David Martens, Karel Dejaeger, Joeri Van Mierlo, Floris Devriendt, David Martens, Joon Hur, Christophe Mues, Thomas Verbraken and Véronique Van Vlasselaer. Their work appears in journals such as Decision Support Systems, European Journal of Operational Research, Expert Systems with Applications, Applied Soft Computing and Journal of the Operational Research Society.

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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