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André C. P. L. F. de Carvalho

André C. P. L. F. de Carvalho

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Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
64
Citations
15554
World Ranking
2615
National Ranking
6

André C. P. L. F. de Carvalho 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 André C. P. L. F. de Carvalho 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: 583 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

André C. P. L. F. de Carvalho 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 André C. P. L. F. de Carvalho 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: 64 D-Index — 82nd percentile

82% 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

  • 2026 - Research.com Computer Science in Brazil Leader Award
  • 2025 - Research.com Computer Science in Brazil Leader Award

Overview

André C. P. L. F. de Carvalho is a researcher affiliated with the Universidade de São Paulo in Brazil. Their work primarily spans the field of Computer Science, with substantial contributions in the subfields of Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.

Their research covers a variety of topics, including:

  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Imbalanced Data Classification Techniques
  • Topic Modeling
  • Machine Learning in Bioinformatics

Among recent publications, notable works include:

  • "Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures" (2020) published in Acta Materialia
  • "Meta-features for meta-learning" (2022) published in Knowledge-Based Systems
  • "COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals" (2020) published in Journal of Medical Internet Research
  • "MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors" (2021) published in Briefings in Bioinformatics
  • "Assessing the data complexity of imbalanced datasets" (2020) published in Information Sciences

The researcher frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Information Sciences
  • Research Square (Research Square)
  • SSRN Electronic Journal
  • Briefings in Bioinformatics

Collaboration is a significant part of their research network, with frequent co-authors including:

  • Robson Parmezan Bonidia
  • Danilo Sipoli Sanches
  • Ulisses Nunes da Rocha
  • Saulo Martiello Mastelini
  • Ellen Souza

Best Publications

  • Redes neurais artificiais: teoria e aplicações

    Antonio de Pádua Braga;Teresa Bernarda Ludermir;André Carlos Ponce de Leon Ferreira Carvalho

  • Knowledge Discovery from Data Streams.

    João Gama;Pedro Pereira Rodrigues;Eduardo Jaques Spinosa;André Carlos Ponce de Leon Ferreira de Carvalho

  • 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

  • Data stream clustering: A survey

    Jonathan A. Silva;Elaine R. Faria;Rodrigo C. Barros;Eduardo R. Hruschka

  • A Survey of Evolutionary Algorithms for Decision-Tree Induction

    R. C. Barros;M. P. Basgalupp;A. C. P. L. F. de Carvalho;A. A. Freitas

  • Inteligência artificial: uma abordagem de aprendizado de máquina

    Katti Faceli;Ana Carolina Lorena;João Gama;André Carlos Ponce de Leon Ferreira de Carvalho

  • A review on the combination of binary classifiers in multiclass problems

    Ana Carolina Lorena;André C. Carvalho;João M. Gama

  • Spectral methods for graph clustering – A survey

    Mariá Cristina Vasconcelos Nascimento;André Carlos Ponce de Leon Ferreira de Carvalho

  • Deep learning for biological image classification

    Carlos Affonso;André Luis Debiaso Rossi;Fábio Henrique Antunes Vieira;André Carlos Ponce de Leon Ferreira de Carvalho

  • Uma Introdução às Support Vector Machines

    Ana Carolina Lorena;André Carlos Ponce de Leon Ferreira de Carvalho

  • An adaptive approach for UAV-based pesticide spraying in dynamic environments

    Bruno S. Faial;Heitor Freitas;Pedro H. Gomes;Leandro Y. Mano

  • Wine classification by taste sensors made from ultra-thin films and using neural networks

    Antonio Riul;Humberto C. de Sousa;Roger R. Malmegrim;David S. dos Santos

  • A Tutorial on Multi-label Classification Techniques

    André Carlos Ponce de Leon Ferreira de Carvalho;Alex Alves Freitas

  • Artificial Taste Sensor: Efficient Combination of Sensors Made from Langmuir−Blodgett Films of Conducting Polymers and a Ruthenium Complex and Self-Assembled Films of an Azobenzene-Containing Polymer

    A. Riul;D. S. Dos Santos;K. Wohnrath;R. Di Tommazo

  • Comparing machine learning classifiers in potential distribution modelling

    Ana C. Lorena;Luis F.O. Jacintho;Marinez F. Siqueira;Renato De Giovanni

  • Predicting glass transition temperatures using neural networks

    Daniel R Cassar;Andre Carlos Ponce de Leon Ferreira de Carvalho;Edgar Dutra Zanotto

  • Evolutionary tuning of SVM parameter values in multiclass problems

    Ana Carolina Lorena;André C. P. L. F. de Carvalho

  • Combining meta-learning and search techniques to select parameters for support vector machines

    Taciana A. F. Gomes;Ricardo B. C. Prudêncio;Carlos Soares;André L. D. Rossi

  • OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams

    Eduardo J. Spinosa;André Ponce de Leon F. de Carvalho;João Gama

  • Editorial: Hybrid intelligent algorithms and applications

    Emilio Corchado;Ajith Abraham;Andre de Carvalho

  • Hierarchical multi-label classification using local neural networks

    Ricardo Cerri;Rodrigo C. Barros;André C. P. L. F. De Carvalho

  • Efficiency issues of evolutionary k-means

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

Frequent Co-Authors

Carlos Soares
Carlos Soares University of Porto
Alex A. Freitas
Alex A. Freitas University of Kent
João Gama
João Gama University of Porto
Emilio Corchado
Emilio Corchado University of Salamanca
Teresa B. Ludermir
Teresa B. Ludermir Federal University of Pernambuco
Ajith Abraham
Ajith Abraham Sai University
Joaquin Vanschoren
Joaquin Vanschoren Eindhoven University of Technology
Gustavo E. A. P. A. Batista
Gustavo E. A. P. A. Batista University of New South Wales
Eduardo R. Hruschka
Eduardo R. Hruschka Universidade de São Paulo
Luiz H. C. Mattoso
Luiz H. C. Mattoso Brazilian Agricultural Research Corporation

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