Jesus Alcala-Fdez: h-index, Total Citations, and Citation Map
Jesus Alcala-Fdez's h-index is 32 (60 i10-index, 9,841+ total citations across 2+ publications) according to Google Scholar as of May 2026. Jesus Alcala-Fdez is affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada.
Jesus Alcala-Fdez is a researcher affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada, specializing in Association rules, Evolutionary fuzzy systems, Multiobjective learning. Their work has been cited 9,841 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Jesus Alcala-Fdez's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 32
- i10-Index
- 60
- Total Citations
- 9,841
- Citing Countries
- 14
As of May 2026.
Jesus Alcala-Fdez has an h-index of 32 and 9,841 total citations across 2 publications, with research cited by institutions in 14 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jesus Alcala-Fdez's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 9,841 citations for Jesus Alcala-Fdez
We've shown the most-cited 5,000. Unlock the full crawl (9,822 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
20113,403
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed KEEL, a foundational software framework for assessing evolutionary algorithms in data mining, establishing a standardized experimental analysis platform widely adopted by the independent research community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.











