World's Best Scientists 2026 revealed!
Ricardo J. G. B. Campello

Ricardo J. G. B. Campello

D-Index & Metrics

Computer Science

D-Index
30
Citations
8985
World Ranking
13830
National Ranking
69

Ricardo J. G. B. Campello 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 Ricardo J. G. B. Campello 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Ricardo J. G. B. Campello 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 Ricardo J. G. B. Campello 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ricardo J. G. B. Campello is affiliated with the University of Southern Denmark in Denmark. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, signal processing, computer vision and pattern recognition, statistics and probability, and civil and structural engineering.

Their scholarly work addresses several core topics, including anomaly detection techniques and applications, time series analysis and forecasting, machine learning and data classification, advanced clustering algorithms research, advanced statistical methods and models, water systems and optimization, and data-driven disease surveillance.

Campello has contributed to various academic journals and conferences, frequently publishing in venues such as arXiv (Cornell University), Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Computers and Electronics in Agriculture, and Information Systems.

Recent papers authored or co-authored by Campello include:

  • "Cattle counting in the wild with geolocated aerial images in large pasture areas" (2021) published in Computers and Electronics in Agriculture
  • "Internal Evaluation of Unsupervised Outlier Detection" (2020) published in ACM Transactions on Knowledge Discovery from Data
  • "On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles" (2023) published in Data Mining and Knowledge Discovery
  • "Bayesian label distribution propagation: A semi-supervised probabilistic k nearest neighbor classifier" (2024) published in Information Systems
  • "Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures" (2024) published in Data Mining and Knowledge Discovery

Campello has collaborated extensively with several researchers in the domain. Frequent co-authors include Arthur Zimek, Henrique O. Marques, Jörg Sander, James Bailey, and Luke W. Yerbury.

Best Publications

  • Density-Based Clustering Based on Hierarchical Density Estimates

    Ricardo J. G. B. Campello;Davoud Moulavi;Joerg Sander

  • A Survey of Evolutionary Algorithms for Clustering

    E.R. Hruschka;R.J.G.B. Campello;A.A. Freitas;A.C.P.L.F. de Carvalho

  • Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

    Ricardo J. G. B. Campello;Davoud Moulavi;Arthur Zimek;Jörg Sander

  • On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

    Guilherme O. Campos;Arthur Zimek;Jörg Sander;Ricardo J. Campello

  • Density‐based clustering

    Unknown

  • A fuzzy extension of the silhouette width criterion for cluster analysis

    Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Relative clustering validity criteria: A comparative overview

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Ensembles for unsupervised outlier detection: challenges and research questions a position paper

    Arthur Zimek;Ricardo J.G.B. Campello;Jörg Sander

  • Density-based clustering validation

    Davoud Moulavi;Pablo A. Jaskowiak;Pablo A. Jaskowiak;Ricardo J.G.B. Campello;Arthur Zimek

  • A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment

    R. J. G. B. Campello

  • Subsampling for efficient and effective unsupervised outlier detection ensembles

    Arthur Zimek;Matthew Gaudet;Ricardo J.G.B. Campello;Jörg Sander

  • Relative clustering validity criteria: A comparative overview: Relative Clustering Validity Criteria

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Evolving clusters in gene-expression data

    Eduardo R. Hruschka;Ricardo J. G. B. Campello;Leandro N. de Castro

  • On the selection of appropriate distances for gene expression data clustering

    Pablo Andretta Jaskowiak;Ricardo José Gabrielli Barreto Campello;Ivan G. Costa;Ivan G. Costa

  • On the Comparison of Relative Clustering Validity Criteria.

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Efficiency issues of evolutionary k-means

    M. C. Naldi;R. J. G. B. Campello;E. R. Hruschka;A. C. P. L. F. Carvalho

  • A systematic comparative evaluation of biclustering techniques

    Victor Alexandre Padilha;Ricardo J. G. B. Campello;Ricardo J. G. B. Campello

  • Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines

    L. F. S. Coletta;L. Vendramin;E. R. Hruschka;R. J. G. B. Campello

  • Evolutionary algorithms for clustering gene-expression data

    E.R. Hruschka;L.N. de Castro;R.J.G.B. Campello

  • A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies

    Ricardo José Gabrielli Barreto Campello;Ricardo José Gabrielli Barreto Campello;D Moulavi;A Zimek;J Sander

  • Cluster ensemble selection based on relative validity indexes

    M. C. Naldi;A. C. Carvalho;R. J. Campello

  • Towards a Fast Evolutionary Algorithm for Clustering

    V.S. Alves;R.J.G.B. Campello;E.R. Hruschka

  • On the efficiency of evolutionary fuzzy clustering

    Ricardo J. Campello;Eduardo R. Hruschka;Vinícius S. Alves

  • Hierarchical fuzzy relational models: linguistic interpretation and universal approximation

    R.J.G.B. Campello;W. Caradori do Amaral

  • Hierarchical Density-Based Clustering Using MapReduce

    Joelson Antonio dos Santos;Talat Iqbal Syed;Murilo C. Naldi;Ricardo J. G. B. Campello

Frequent Co-Authors

Eduardo R. Hruschka
Eduardo R. Hruschka Universidade de São Paulo
Arthur Zimek
Arthur Zimek University of Southern Denmark
Jörg Sander
Jörg Sander University of Alberta
Osmar R. Zaïane
Osmar R. Zaïane University of Alberta
Ira Assent
Ira Assent Aarhus University
Leandro Nunes de Castro
Leandro Nunes de Castro Florida Gulf Coast University
André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Rubens Maciel Filho
Rubens Maciel Filho State University of Campinas
Witold Pedrycz
Witold Pedrycz University of Alberta
Jundong Li
Jundong Li University of Virginia

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