Bart Baesens Google Scholar: h-index, Total Citations, and Citation Map
Bart Baesens's h-index is 85 (221 i10-index, 31,376+ total citations across 611+ publications) according to Google Scholar as of October 2026. Bart Baesens is affiliated with KU Leuven.
Bart Baesens is a researcher affiliated with KU Leuven, specializing in Analytics, Machine Learning, Credit Risk. Their work has been cited 31,376 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Bart Baesens's Citation Metrics
Bibliometric impact based on 611 indexed publications.
- H-Index
- 85
- i10-Index
- 221
- Total Citations
- 31,376
- Citing Countries
- 15
As of October 2026.
Bart Baesens has an h-index of 85 and 31,376 total citations across 611 publications, with research cited by institutions in 15 countries.
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Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
20152,009
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Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Bart Baesens's research
Bart Baesens is a researcher in Analytics, Machine Learning and Credit Risk at KU Leuven. Their work has been cited 31,376 times across 611 publications (h-index 85), according to Google Scholar.
Their most-cited work, “Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research” (2015), has accumulated 2,009 citations. Other influential works include “Benchmarking classification models for software defect prediction: A proposed framework and novel findings” (2008) with 1,629 citations and “Benchmarking state-of-the-art classification algorithms for credit scoring” (2003) with 1,519 citations.
Citations of Bart Baesens's research come primarily from United Kingdom, China and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
