Thomas Verbraken
Impact in
Papers in
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- Customer churn and segmentation 7
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- Data Mining Algorithms and Applications 4
- Software Engineering Research 2
- Co-authors
- Bart Baesens (12 shared papers)Wouter Verbeke (5 shared papers)Karel Dejaeger (3 shared papers)Richard W. Weber (2 shared papers)Cristián Bravo (1 shared paper)Sebastián Maldonado (1 shared paper)Frank Goethals (1 shared paper)Stefan Lessmann (1 shared paper)
- Journals
- European Journal of Operational Research (2 papers)Applied Soft Computing (2 papers)Decision Support Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- BelgiumUnited KingdomChile
In The Last Decade
Thomas Verbraken
12 papers receiving 552 citations
Peers
Comparison fields: 5 of 68
- Software 114
- Marketing 200
- Accounting 124
- Information Systems 232
- Organizational Behavior and Human Resource Management 67
Countries citing papers authored by Thomas Verbraken
This map shows the geographic impact of Thomas Verbraken'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 Thomas Verbraken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Verbraken more than expected).
Fields of papers citing papers by Thomas Verbraken
This network shows the impact of papers produced by Thomas Verbraken. 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 Thomas Verbraken. The network helps show where Thomas Verbraken may publish in the future.
Co-authors
The 9 scholars most cited alongside Thomas Verbraken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 147 | |
| 2 | 2014 | 135 | |
| 3 | 2012 | 125 | |
| 4 | 2015 | 63 | |
| 5 | 2014 | 29 | |
| 6 | 2013 | 27 | |
| 7 | 2012 | 20 | |
| 8 | 2014 | 16 | |
| 9 | Toward profit-driven churn modeling with predictive marketing analytics | 2012 | 6 |
| 10 | Relational learning for customer churn prediction: the complementarity of networked and non-networked classifiers | 2011 | 2 |
| 11 | Using social network classifiers for predicting e-commerce adoption | 2011 | 1 |
| 12 | Mining social networks for customer churn prediction | 2011 | 1 |
| 13 | Assessing Bayesian network classifiers for software defect prediction | 2012 | 1 |
| 14 | Business oriented data analytics: theory and case studies. | 2013 | 1 |
About Thomas Verbraken
Thomas Verbraken is a scholar working on Marketing, Information Systems, Artificial Intelligence, Organizational Behavior and Human Resource Management and Computer Networks and Communications, having authored 14 papers that have together received 574 indexed citations. Recurring topics across this work include Customer churn and segmentation (7 papers), Data Mining Algorithms and Applications (4 papers), Customer Service Quality and Loyalty (3 papers), Imbalanced Data Classification Techniques (2 papers), Software System Performance and Reliability (2 papers), Software Reliability and Analysis Research (2 papers), Complex Network Analysis Techniques (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Software (114 citations), Marketing (200 citations), Accounting (124 citations), Information Systems (232 citations) and Organizational Behavior and Human Resource Management (67 citations). Thomas Verbraken has collaborated with scholars based in Belgium, United Kingdom and Chile. Frequent co-authors include Bart Baesens, Wouter Verbeke, Karel Dejaeger, Richard W. Weber, Cristián Bravo, Sebastián Maldonado, Frank Goethals, Stefan Lessmann and David Martens. Their work appears in journals such as European Journal of Operational Research, Applied Soft Computing, Decision Support Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Software Engineering.
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.