Cristóbal Romero (ORCID: 0000-0003-4180-4948): h-index, Total Citations, and Citation Map
Cristóbal Romero (ORCID: 0000-0003-4180-4948)'s h-index is 53 (106 i10-index, 25,143+ total citations across 100+ publications) according to Google Scholar as of June 2026. Cristóbal Romero (ORCID: 0000-0003-4180-4948) is affiliated with Full Professor in University of Cordoba and member of KDIS Research Group.
Cristóbal Romero (ORCID: 0000-0003-4180-4948) is a researcher affiliated with Full Professor in University of Cordoba and member of KDIS Research Group, specializing in Educational Data Mining, Learning Analytics, Artificial Intelligence in Education. Their work has been cited 25,143 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Cristóbal Romero (ORCID: 0000-0003-4180-4948)'s Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 2 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 53
- i10-Index
- 106
- Total Citations
- 25,143
- Citing Countries
- 14
As of June 2026.
Cristóbal Romero (ORCID: 0000-0003-4180-4948) has an h-index of 53 and 25,143 total citations across 100 publications, with research cited by institutions in 14 countries.
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We've mapped 5,000 of 25,143 citations for Cristóbal Romero (ORCID: 0000-0003-4180-4948)
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Educational data mining: a review of the state of the art
20103,687
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Cristóbal Romero (ORCID: 0000-0003-4180-4948)'s research
Cristóbal Romero (ORCID: 0000-0003-4180-4948) is a researcher in Educational Data Mining, Learning Analytics and Artificial Intelligence in Education at Full Professor in University of Cordoba and member of KDIS Research Group. Their work has been cited 25,143 times across 100 publications (h-index 53), 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 Cristóbal Romero (ORCID: 0000-0003-4180-4948)'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.
