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Sebastián Ventura

Active 1997–2026

308
Papers
19,134
Citations
57
h-index
176
i10-index

Citations

Citations per year for Sebastián Ventura1982: 1 citations1992: 1 citations1998: 2 citations1999: 1 citations2000: 3 citations2001: 1 citations2003: 3 citations2004: 4 citations2005: 6 citations2006: 11 citations2007: 33 citations2008: 80 citations2009: 144 citations2010: 268 citations2011: 290 citations2012: 349 citations2013: 442 citations2014: 527 citations2015: 641 citations2016: 631 citations2017: 776 citations2018: 866 citations2019: 1,048 citations2020: 1,186 citations2021: 1,053 citations2022: 1,031 citations2023: 853 citations2024: 768 citations2025: 621 citations2026: 204 citations2027: 3 citations1983–1991: no citations, so these years are not shown1993–1997: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,011 citing papers, 17.1% of this breakdownSpain: 1,161 citing papers, 9.9% of this breakdownUnited States: 1,032 citing papers, 8.8% of this breakdownIndia: 550 citing papers, 4.7% of this breakdownUnited Kingdom: 453 citing papers, 3.8% of this breakdownAustralia: 354 citing papers, 3% of this breakdownBrazil: 335 citing papers, 2.8% of this breakdownSaudi Arabia: 301 citing papers, 2.6% of this breakdownGermany: 283 citing papers, 2.4% of this breakdownCanada: 235 citing papers, 2% of this breakdownIran: 225 citing papers, 1.9% of this breakdownItaly: 220 citing papers, 1.9% of this breakdown
0%17.1%Other 39.1%

Institutions

Fields

  • Computer Science80.9%
  • Engineering3.6%
  • Medicine2.9%
  • Social Sciences2.4%
  • Psychology2%
  • Biochemistry, Genetics and Molecular Biology1.8%
  • Other6.4%

Topics

  • Online Learning and Analytics11.7%
  • Imbalanced Data Classification Techniques4.1%
  • Metaheuristic Optimization Algorithms Research4%
  • Data Mining Algorithms and Applications3.8%
  • Evolutionary Algorithms and Applications3.6%
  • Text and Document Classification Technologies3.4%
  • Other69.4%

Coauthors

All papers

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  1. Educational data mining and learning analytics: An updated survey

    Authors: Cristóbal Romero, Sebastián Ventura - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2020 cited by 971

  2. KEEL: a software tool to assess evolutionary algorithms for data mining problems

    Authors: Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera - Soft Computing, Soft Comput. 2008 cited by 1,493

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

    Authors: Cristóbal Romero, Sebastián Ventura - IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), IEEE Trans. Syst. Man Cybern. Part C 2010 cited by 2,127

  4. Handling imbalanced medical datasets: review of a decade of research

    Authors: Mabrouka Salmi, Dalia Atif, Diego Oliva, Ajith Abraham, Sebastián Ventura - Artificial Intelligence Review, Artif. Intell. Rev. 2024 cited by 222

  5. Frequent itemset mining: A 25 years review

    Authors: José María Luna, Philippe Fournier-Viger, Sebastián Ventura - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2019 cited by 242

  6. A Survey on the Application of Genetic Programming to Classification

    Authors: Pedro G. Espejo, Sebastián Ventura, Francisco Herrera - IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), IEEE Trans. Syst. Man Cybern. Part C 2009 cited by 639

  7. A Tutorial on Multilabel Learning

    Authors: Eva Gibaja, Sebastián Ventura - ACM Computing Surveys, ACM Comput. Surv. 2015 cited by 525

  8. Data mining in education

    Authors: Cristóbal Romero, Sebastián Ventura - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2012 cited by 786

  9. Eight years of AutoML: categorisation, review and trends

    Authors: Rafael Barbudo, Sebastián Ventura, José Raúl Romero - Knowledge and Information Systems, Knowl. Inf. Syst. 2023 cited by 74

  10. Educational data mining: A survey from 1995 to 2005

    Authors: Cristóbal Romero, Sebastián Ventura - Expert Systems with Applications, Expert Syst. Appl. 2006 cited by 1,479

  11. Efficient mining of top-k high utility itemsets through genetic algorithms

    Authors: José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura - Information Sciences, Inf. Sci. 2023 cited by 53

  12. Distributed multi-label feature selection using individual mutual information measures

    Authors: Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano - Knowledge-Based Systems, Knowl. Based Syst. 2019 cited by 138

  13. Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records

    Authors: Beata Strack, Jonathan P. DeShazo, Chris Gennings, Juan Luis Olmo, Sebastián Ventura, Krzysztof J. Cios, John N. Clore - BioMed Research International 2014 cited by 343

  14. A deep learning model for Alzheimer's disease diagnosis based on patient clinical records

    Authors: José Luis Ávila-Jiménez, Vanesa Cantón-Habas, María Pilar Carrera-González, Manuel Rich‐Ruiz, Sebastián Ventura - Computers in Biology and Medicine, Comput. Biol. Medicine 2023 cited by 46

  15. Review of ensembles of multi-label classifiers: Models, experimental study and prospects

    Authors: Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura - Information Fusion, Inf. Fusion 2017 cited by 151

  16. Predicting students' final performance from participation in on-line discussion forums

    Authors: Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura - Computers & Education, Comput. Educ. 2013 cited by 544

  17. Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

    Authors: Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura - Neurocomputing 2015 cited by 190

  18. Data mining in course management systems: Moodle case study and tutorial

    Authors: Cristóbal Romero, Sebastián Ventura, Enrique García - Computers & Education, Comput. Educ. 2007 cited by 1,056

  19. Early dropout prediction using data mining: a case study with high school students

    Authors: Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura - Expert Systems, Expert Syst. J. Knowl. Eng. 2015 cited by 311

  20. A survey of many-objective optimisation in search-based software engineering

    Authors: Aurora Ramírez, José Raúl Romero, Sebastián Ventura - Journal of Systems and Software, J. Syst. Softw. 2018 cited by 97

  21. StaTDS library: Statistical tests for Data Science

    Authors: Christian Luna, Antonio R. Moya, José María Luna, Sebastián Ventura - Neurocomputing 2024 cited by 20

  22. Multi-label learning: a review of the state of the art and ongoing research

    Authors: Eva Gibaja, Sebastián Ventura - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2014 cited by 200

  23. Effective active learning strategy for multi-label learning

    Authors: Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura - Neurocomputing 2017 cited by 79

  24. Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis

    Authors: Eduardo Pérez, Sebastián Ventura - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2023 cited by 32