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Researcher · KU Leuven · Belgium

Thomas Verbraken

Thomas Verbraken publishes mostly in Marketing, Information Systems and Artificial Intelligence, on topics such as Customer churn and segmentation, Data Mining Algorithms and Applications and Digital Marketing and Social Media.

OpenAlex
World rank
#1,282,401
of 7,710,434 ranked researchers
Rank in Belgium
#11,756
of 67,186
Works
18
Citations
770
Citations per work
42.8
h-index
9
i10-index 8Top 47% in Marketing
Thomas Verbraken

What does Thomas Verbraken research?

Thomas Verbraken's work is mostly in Computer Science (32%), Business, Management and Accounting (25%), Social Sciences (10%).

Social Sciences: 6 works · 35.0% of their workBusiness, Management and Accounting: 4 works · 25.0% of their workMarketing: 3 works · 17.5% of their workOrganizational Behavior and Human Resource Management: 1 works · 7.5% of their workSocial Sciences: 2 works · 10.0% of their workSociology and Political Science: 2 works · 10.0% of their workPhysical Sciences: 6 works · 32.5% of their workComputer Science: 6 works · 32.5% of their workInformation Systems: 3 works · 15.0% of their workArtificial Intelligence: 2 works · 12.5% of their workComputer Networks and Communications: 1 works · 5.0% of their workEverything else: 6 works · 32.5% of their workTHEIR WORKThomas Verbraken18works
Physical Sciences32%Social Sciences35%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Business, Management and Accounting425.0%
    2. Social Sciences210.0%
    1. Computer Science632.5%
  3. Everything else632.5%
  1. 1Marketing18% of their works
  2. 2Information Systems15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Sociology and Political Science10% of their works
  5. 5Organizational Behavior and Human Resource Management8% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Thomas Verbraken's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Churn Prediction, Customer Equity, Association Rules, Electronic Word-of-Mouth, Frequent Patterns and Social Media.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Machine Learning113 topics
  2. Data Mining92 topics
  3. Churn Prediction51 topic
  4. Customer Equity51 topic
  5. Association Rules41 topic
  6. Electronic Word-of-Mouth41 topic
  7. Frequent Patterns41 topic
  8. Social Media41 topic
  9. Customer Satisfaction31 topic
  10. Service Quality31 topic
  11. Architecture-Based Approach21 topic
  12. Classification21 topic
  13. Code Clone Detection21 topic
  14. Imbalanced Data21 topic
  15. Log Analysis21 topic
  16. Performance Prediction21 topic
  17. Refactoring21 topic
  18. Software Reliability Modeling21 topic

Where does Thomas Verbraken work?

Thomas Verbraken's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Thomas Verbraken have?

OpenAlex counts 18 works and 770 citations for Thomas Verbraken, an h-index of 9, ranking #1,282,401 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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