World's Best Scientists 2026 revealed!
Alberto Fernández

Alberto Fernández

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
23663
World Ranking
5467
National Ranking
70

Alberto Fernández 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 Alberto Fernández 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Alberto Fernández 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 Alberto Fernández 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: 50 D-Index — 62nd percentile

62% 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

Alberto Fernández is affiliated with the University of Granada in Spain and has contributed significantly to the field of medicine, with a particular focus on endocrinology, pediatrics, and related subfields. Their research portfolio includes work spanning endocrinology, diabetes and metabolism, pediatrics, perinatology and child health, surgery, epidemiology, and cardiology and cardiovascular medicine.

The scientist has explored multiple specialized topics within these fields. Key areas of focus include:

  • Childhood Cancer Survivors' Quality of Life
  • Growth Hormone and Insulin-like Growth Factors
  • Pituitary Gland Disorders and Treatments
  • Neuroblastoma Research and Treatments
  • Electrolyte and hormonal disorders
  • Heart Failure Treatment and Management
  • Cervical Cancer and HPV Research

Several recent papers have featured Fernández's work, including:

  • Management of hyponatraemia and hypernatraemia during the Covid-19 pandemic: a consensus statement of the Spanish Society for Endocrinology (Acqua Neuroendocrinology Group), 2021, Reviews in Endocrine and Metabolic Disorders
  • Safety of growth hormone replacement in survivors of cancer and intracranial and pituitary tumours: a consensus statement, 2022, European Journal of Endocrinology
  • Safety of growth hormone replacement in survivors of cancer and intracranial and pituitary tumours: a consensus statement, 2022, Yearbook of pediatric endocrinology
  • Prognostic factors in patients with vulvar cancer: the VULCAN study, 2020, International Journal of Gynecological Cancer
  • Hypothalamic-Pituitary and Other Endocrine Surveillance Among Childhood Cancer Survivors, 2021, Endocrine Reviews

Frequent publication venues in which Fernández has appeared include:

  • Yearbook of pediatric endocrinology
  • OP-Journal
  • European Journal of Endocrinology
  • International Journal of Gynecological Cancer
  • Endocrine Reviews

Collaborations with other researchers are evident, and Fernández has co-authored papers multiple times with:

  • Wassim Chemaitilly
  • Hanneke M. van Santen
  • Lillian R. Meacham
  • Laurie E. Cohen
  • Judith Gebauer

Best Publications

  • A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

    M. Galar;A. Fernandez;E. Barrenechea;H. Bustince

  • KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

    J. Alcalá-Fdez;A. Fernández;J. Luengo;J. Derrac

  • Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

    Salvador García;Alberto Fernández;Julián Luengo;Francisco Herrera

  • SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary

    Alberto Fernández;Salvador García;Francisco Herrera;Nitesh V. Chawla

  • An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Victoria López;Alberto Fernández;Salvador García;Vasile Palade

  • An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Humberto Bustince

  • A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

    S. García;A. Fernández;J. Luengo;F. Herrera

  • EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Francisco Herrera

  • Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

    Alberto FernáNdez;Victoria LóPez;Mikel Galar;MaríA José Del Jesus

  • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Alberto Fernández;Salvador García;María José del Jesus;Francisco Herrera

  • Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

    Victoria López;Alberto Fernández;Jose G. Moreno-Torres;Francisco Herrera

  • Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

    Alberto Fernández;Sara del Río;Victoria López;Abdullah Bawakid

  • KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Isaac Triguero;Sergio González;Jose M. Moyano;Salvador García

  • New approach to chaotic encryption

    E. Alvarez;A. Fernández;P. Garcı́a;J. Jiménez

  • On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

    Salma Elhag;Alberto Fernández;Abdullah Bawakid;Saleh Alshomrani

  • An insight into imbalanced Big Data classification: outcomes and challenges

    Alberto Fernández;Sara del Río;Nitesh V. Chawla;Francisco Herrera

  • Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

    Alberto Fernández;María José del Jesus;Francisco Herrera

  • Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling

    Julián Luengo;Alberto Fernández;Salvador García;Francisco Herrera

  • Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

    Alberto Fernandez;Francisco Herrera;Oscar Cordon;Maria Jose del Jesus

  • Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study

    A Fernández;S García;J Luengo;E Bernadó-Mansilla

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Salvador García
Salvador García University of Granada
María José del Jesus
María José del Jesus University of Jaén
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
José Antonio Sanz
José Antonio Sanz Universidad Publica De Navarra
Julián Luengo
Julián Luengo University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada

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