2026 Cristóbal Romero: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6012	5839	77	75	131	19176

Research.com Recognitions

2025 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award

Overview

Cristóbal Romero is affiliated with the University of Córdoba in Spain and specializes in the field of Computer Science, with a focus on applications within this domain. Their research encompasses multiple subfields including Computer Science Applications, Artificial Intelligence, Computer Networks and Communications, Education, and Information Systems.

The scientist's primary research interests cover key topics related to Online Learning and Analytics, which constitutes the majority of their work. Additional topics include Software System Performance and Reliability, Educational Technology and Assessment, Online and Blended Learning, Intelligent Tutoring Systems and Adaptive Learning, Artificial Intelligence in Healthcare, and E-Learning and Knowledge Management.

Frequent collaborators in their research include Juan A. Lara, Rebeca Cerezo, Sebastián Ventura, Wilson Chango, and Javier López-Zambrano. These relationships have supported multiple co-authored publications addressing educational data mining and learning analytics.

Among the venues where Cristóbal Romero has published frequently are the Journal of Computing in Higher Education, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Applied Sciences, arXiv (Cornell University), and Psicothema.

Recent publications illustrate their areas of expertise:

Educational data mining and learning analytics: An updated survey, 2020, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
A review on data fusion in multimodal learning analytics and educational data mining, 2022, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Early Prediction of Student Learning Performance Through Data Mining: A Systematic Review, 2021, Psicothema
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses, 2020, Computers & Electrical Engineering
Towards Portability of Models for Predicting Students' Final Performance in University Courses Starting from Moodle Logs, 2020, Applied Sciences

Best Publications

Educational Data Mining: A Review of the State of the Art

Cristóbal Romero;Sebastián Ventura

2835
Citations
Educational data mining: A survey from 1995 to 2005

C. Romero;S. Ventura

2353
Citations
KEEL: a software tool to assess evolutionary algorithms for data mining problems

J. Alcalá-Fdez;L. Sánchez;S. García;M. J. del Jesus

1753
Citations
Data mining in course management systems: Moodle case study and tutorial

Cristóbal Romero;Sebastián Ventura;Enrique García

1628
Citations
Data mining in education

Cristobal Romero;Sebastian Ventura

1215
Citations
Educational data mining and learning analytics: An updated survey

Cristobal Romero;Sebastian Ventura

875
Citations
Predicting students' final performance from participation in on-line discussion forums

Cristóbal Romero;Manuel-Ignacio López;Jose-María Luna;Sebastián Ventura

732
Citations
Handbook of Educational Data Mining

Cristobal Romero;Sebastian Ventura;Mykola Pechenizkiy;Ryan S.J.d. Baker

660
Citations
Data Mining Algorithms to Classify Students

Cristóbal Romero;Sebastián Ventura;Pedro G. Espejo;César Hervás

548
Citations
Web usage mining for predicting final marks of students that use Moodle courses

Cristobal Romero;Cristobal Romero;Pedro G. Espejo;Amelia Zafra;Amelia Zafra;Jose Raul Romero

395
Citations
Early dropout prediction using data mining: a case study with high school students

Carlos Márquez-Vera;Alberto Cano;Cristobal Romero;Amin Yousef Mohammad Noaman

351
Citations
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

Carlos Márquez-Vera;Alberto Cano;Cristóbal Romero;Sebastián Ventura

274
Citations
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

Cristóbal Romero;Sebastián Ventura;Paul De Bra

262
Citations
A survey on educational process mining

Alejandro Bogarín;Rebeca Cerezo;Cristóbal Romero

259
Citations
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems

Cristóbal Romero;Sebastián Ventura;Amelia Zafra;Paul de Bra

245
Citations
JCLEC: a Java framework for evolutionary computation

Sebastián Ventura;Cristóbal Romero;Amelia Zafra;José A. Delgado

238
Citations
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering

Enrique García;Cristóbal Romero;Sebastián Ventura;Carlos De Castro

214
Citations
Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums.

M. I. Lopez;J. M. Luna;C. Romero;S. Ventura

209
Citations
Data Mining in E-learning

C. Romero;S. Ventura

209
Citations
A collaborative educational association rule mining tool

Enrique García;Cristóbal Romero;Sebastián Ventura;Carlos de Castro

190
Citations

Frequent Co-Authors

Sebastián Ventura University of Córdoba

Mykola Pechenizkiy Eindhoven University of Technology

Toon Calders University of Antwerp

Tiffany Barnes North Carolina State University

Cristina Conati University of British Columbia

Francisco Herrera University of Granada

Ryan S. Baker University of Pennsylvania

Enrique Herrera-Viedma University of Granada

Katrien Verbert KU Leuven

Stefano Ceri Polytechnic University of Milan

External Links

Personal website of Cristóbal Romero Google Scholar page

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