Yvan Saeys Google Scholar: h-index, Total Citations, and Citation Map
Yvan Saeys's h-index is 85 (204 i10-index, 48,258+ total citations across 100+ publications) according to Google Scholar as of October 2026. Yvan Saeys is affiliated with VIB - Ghent University.
Yvan Saeys is a researcher affiliated with VIB - Ghent University, specializing in Machine learning, Computational Biology, Large scale data mining. Their work has been cited 48,258 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yvan Saeys's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 85
- i10-Index
- 204
- Total Citations
- 48,258
- Citing Countries
- 46
As of October 2026.
Yvan Saeys has an h-index of 85 and 48,258 total citations across 100 publications, with research cited by institutions in 46 countries.
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A review of feature selection techniques in bioinformatics
20076,712
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yvan Saeys's research
Yvan Saeys is a researcher in Machine learning, Computational Biology and Large scale data mining at VIB - Ghent University. Their work has been cited 48,258 times across 100 publications (h-index 85), according to Google Scholar.
Their most-cited work, “A review of feature selection techniques in bioinformatics” (2007), has accumulated 6,712 citations. Other influential works include “FlowSOM: using self‐organizing maps for visualization and interpretation of cytometry data” (2015) with 2,229 citations and “NicheNet: modeling intercellular communication by linking ligands to target genes” (2020) with 2,212 citations.
Citations of Yvan Saeys's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
