World's Best Scientists 2026 revealed!
Cristóbal Romero

Cristóbal Romero

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
48
Citations
19176
World Ranking
6013
National Ranking
77

Cristóbal Romero publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Cristóbal Romero sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Cristóbal Romero D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Cristóbal Romero sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

  • Educational data mining: A survey from 1995 to 2005

    C. Romero;S. Ventura

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

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

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

    Cristóbal Romero;Sebastián Ventura;Enrique García

  • Data mining in education

    Cristobal Romero;Sebastian Ventura

  • Educational data mining and learning analytics: An updated survey

    Cristobal Romero;Sebastian Ventura

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

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

  • Handbook of Educational Data Mining

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

  • Data Mining Algorithms to Classify Students

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

  • 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

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

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

  • 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

  • Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

    Cristóbal Romero;Sebastián Ventura;Paul De Bra

  • A survey on educational process mining

    Alejandro Bogarín;Rebeca Cerezo;Cristóbal Romero

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

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

  • JCLEC: a Java framework for evolutionary computation

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

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

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

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

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

  • Data Mining in E-learning

    C. Romero;S. Ventura

  • A collaborative educational association rule mining tool

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

Frequent Co-Authors

Sebastián Ventura
Sebastián Ventura University of Córdoba
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Toon Calders
Toon Calders University of Antwerp
Paul De Bra
Paul De Bra Eindhoven University of Technology
Tiffany Barnes
Tiffany Barnes North Carolina State University
Cristina Conati
Cristina Conati University of British Columbia
Francisco Herrera
Francisco Herrera University of Granada
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Alberto Cano
Alberto Cano Virginia Commonwealth University
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada

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