J. Sanz: h-index, Total Citations, and Citation Map
J. Sanz's h-index is 34 (61 i10-index, 4,405+ total citations across 118+ publications) according to Google Scholar as of June 2026. J. Sanz is affiliated with Assistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra.
J. Sanz is a researcher affiliated with Assistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra, specializing in Artificial Intelligence, Interval-Valued Fuzzy Sets, Evolutionary Algorithms. Their work has been cited 4,405 times. This profile visualizes their global influence, highlighting strong citation networks in China.
J. Sanz's Citation Metrics
Bibliometric impact based on 118 indexed publications.
- H-Index
- 34
- i10-Index
- 61
- Total Citations
- 4,405
- Citing Countries
- 6
As of June 2026.
J. Sanz has an h-index of 34 and 4,405 total citations across 118 publications, with research cited by institutions in 6 countries.
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We've mapped 5,000 of 4,405 citations for J. Sanz
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Preaggregation functions: Construction and an application
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About J. Sanz's research
J. Sanz is a researcher in Artificial Intelligence, Interval-Valued Fuzzy Sets and Evolutionary Algorithms at Assistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra. Their work has been cited 4,405 times across 118 publications (h-index 34), according to Google Scholar.
Their most-cited work, “Preaggregation functions: Construction and an application” (2015), has accumulated 230 citations. Other influential works include “A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data” (2014) with 214 citations and “Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system” (2014) with 207 citations.
Citations of J. Sanz's research come primarily from China, Spain and Belgium, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
