Question 1

What does Thomas Verbraken research?

Accepted Answer

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.

Question 2

Which keywords describe Thomas Verbraken's research?

Accepted Answer

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.

Question 3

Where does Thomas Verbraken work?

Accepted Answer

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

Question 4

How many publications and citations does Thomas Verbraken have?

Accepted Answer

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.

Question 5

Is Thomas Verbraken's h-index high?

Accepted Answer

An h-index of 9 is at or above that of 59% of the 14,178 ranked researchers whose main subfield is Marketing, which is in the top 47%.