Sebastián Ventura (ORCID: 0000-0003-4216-6378): h-index, Total Citations, and Citation Map
Sebastián Ventura (ORCID: 0000-0003-4216-6378)'s h-index is 70 (229 i10-index, 32,382+ total citations across 567+ publications) according to Google Scholar as of June 2026. Sebastián Ventura (ORCID: 0000-0003-4216-6378) is affiliated with Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46).
Sebastián Ventura (ORCID: 0000-0003-4216-6378) is a researcher affiliated with Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46), specializing in Artificial Intelligence, Machine Learning and Data Mining, Big Data. Their work has been cited 32,382 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Sebastián Ventura (ORCID: 0000-0003-4216-6378)'s Citation Metrics
Bibliometric impact based on 567 indexed publications. Of these, 2 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 70
- i10-Index
- 229
- Total Citations
- 32,382
- Citing Countries
- 14
As of June 2026.
Sebastián Ventura (ORCID: 0000-0003-4216-6378) has an h-index of 70 and 32,382 total citations across 567 publications, with research cited by institutions in 14 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Sebastián Ventura (ORCID: 0000-0003-4216-6378)'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 32,382 citations for Sebastián Ventura (ORCID: 0000-0003-4216-6378)
We've shown the most-cited 5,000. Unlock the full crawl (32,332 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.
Educational data mining: a review of the state of the art
20103,687
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.
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.
About Sebastián Ventura (ORCID: 0000-0003-4216-6378)'s research
Sebastián Ventura (ORCID: 0000-0003-4216-6378) is a researcher in Artificial Intelligence, Machine Learning and Data Mining and Big Data at Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46). Their work has been cited 32,382 times across 567 publications (h-index 70), according to Google Scholar.
Their most-cited work, “Educational data mining: a review of the state of the art” (2010), has accumulated 3,687 citations. Other influential works include “Educational data mining: A survey from 1995 to 2005” (2007) with 2,668 citations and “KEEL: a software tool to assess evolutionary algorithms for data mining problems” (2009) with 1,860 citations.
Citations of Sebastián Ventura (ORCID: 0000-0003-4216-6378)'s research come primarily from Spain, China and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











