José A. Sáez: h-index, Total Citations, and Citation Map
José A. Sáez's h-index is 20 (30 i10-index, 3,740+ total citations across 49+ publications) according to Google Scholar as of June 2026. José A. Sáez is affiliated with Dept. of Statistics and Operations Research, University of Granada.
José A. Sáez is a researcher affiliated with Dept. of Statistics and Operations Research, University of Granada, specializing in data science, noisy data, classification. Their work has been cited 3,740 times. This profile visualizes their global influence, highlighting strong citation networks in China.
José A. Sáez's Citation Metrics
Bibliometric impact based on 49 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 20
- i10-Index
- 30
- Total Citations
- 3,740
- Citing Countries
- 23
As of June 2026.
José A. Sáez has an h-index of 20 and 3,740 total citations across 49 publications, with research cited by institutions in 23 countries.
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A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning
2012797
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About José A. Sáez's research
José A. Sáez is a researcher in data science, noisy data and classification at Dept. of Statistics and Operations Research, University of Granada. Their work has been cited 3,740 times across 49 publications (h-index 20), according to Google Scholar.
Their most-cited work, “A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning” (2012), has accumulated 797 citations. Other influential works include “SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering” (2015) with 762 citations and “Study on the Impact of Partition-Induced Dataset Shift on k-fold Cross-Validation” (2012) with 457 citations.
Citations of José A. Sáez's research come primarily from China, United States and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
