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Adriano Veloso 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 Adriano Veloso 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+

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

Adriano Veloso 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 Adriano Veloso 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+

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

Overview

Adriano Veloso is affiliated with the Universidade Federal de Minas Gerais in Brazil. Their research work primarily spans the fields of Medicine and Computer Science, with a notable focus on Artificial Intelligence, Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, and Surgery.

The scientist's research interests are reflected in their frequent publication topics, which include COVID-19 diagnosis using AI, Machine Learning in Healthcare, Biomedical Text Mining and Ontologies, Hip disorders and treatments, Explainable Artificial Intelligence (XAI), COVID-19 Clinical Research Studies, and Alzheimer's disease research and treatments.

Adriano Veloso has collaborated extensively with several researchers. Frequent coauthors include Daniella Castro Araújo, Karina Braga Gomes, Nívio Ziviani, Gianlucca Zuin, and Daniel Ciampi de Andrade.

The venues where they have frequently published consist of:

  • arXiv (Cornell University)
  • 2022 International Joint Conference on Neural Networks (IJCNN)
  • Ultrasound in Obstetrics and Gynecology
  • SSRN Electronic Journal
  • Artificial Intelligence in Medicine

Recent papers authored or coauthored by Adriano Veloso include:

  • "Understanding machine learning software defect predictions" (2020), Automated Software Engineering
  • "Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models" (2021), Journal of Endocrinological Investigation
  • "Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning" (2021), Artificial Intelligence in Medicine
  • "Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning" (2022), Communications Medicine
  • "A Novel Panel of Plasma Proteins Predicts Progression in Prodromal Alzheimer's Disease" (2022), Journal of Alzheimer s Disease

Best Publications

  • Supervised Learning for Fake News Detection

    Julio C. S. Reis;Andre Correia;Fabricio Murai;Adriano Veloso

  • Dengue surveillance based on a computational model of spatio-temporal locality of Twitter

    Janaína Gomide;Adriano Veloso;Wagner Meira;Virgílio Almeida

  • Lazy Associative Classification

    Adriano Veloso;Wagner;Mohammed Zaki

  • From bias to opinion: a transfer-learning approach to real-time sentiment analysis

    Pedro Henrique Calais Guerra;Adriano Veloso;Wagner Meira;Virgílio Almeida

  • Reverse Engineering Socialbot Infiltration Strategies in Twitter

    Carlos Freitas;Fabricio Benevenuto;Saptarshi Ghosh;Adriano Veloso

  • Multiobjective Pareto-Efficient Approaches for Recommender Systems

    Marco Tulio Ribeiro;Nivio Ziviani;Edleno Silva De Moura;Itamar Hata

  • Pareto-efficient hybridization for multi-objective recommender systems

    Marco Tulio Ribeiro;Anisio Lacerda;Adriano Veloso;Nivio Ziviani

  • Effective self-training author name disambiguation in scholarly digital libraries

    Anderson A. Ferreira;Adriano Veloso;Marcos André Gonçalves;Alberto H.F. Laender

  • Mining Frequent Itemsets in Evolving Databases.

    Adriano Veloso;Wagner Meira;Márcio de Carvalho;Bruno Pôssas

  • Multi-label Lazy Associative Classification

    Adriano Veloso;Wagner Meira;Marcos Gonçalves;Mohammed Zaki

  • Learning to rank at query-time using association rules

    Adriano A. Veloso;Humberto M. Almeida;Marcos A. Gonçalves;Wagner Meira

  • Understanding machine learning software defect predictions

    Geanderson Esteves;Eduardo Figueiredo;Adriano Veloso;Markos Viggiato

  • Explainable Machine Learning for Fake News Detection

    Julio C. S. Reis;André Correia;Fabrício Murai;Adriano Veloso

  • Learning to rank for content-based image retrieval

    Fabio F. Faria;Adriano Veloso;Humberto M. Almeida;Eduardo Valle

  • Parallel and distributed methods for incremental frequent itemset mining

    M.E. Otey;S. Parthasarathy;Chao Wang;A. Veloso

  • Effective sentiment stream analysis with self-augmenting training and demand-driven projection

    Ismael Santana Silva;Janaína Gomide;Adriano Veloso;Wagner Meira

  • Cost-effective on-demand associative author name disambiguation

    Adriano Veloso;Anderson A. Ferreira;Marcos André Gonçalves;Alberto H. F. Laender

  • Demand-driven tag recommendation

    Guilherme Vale Menezes;Jussara M. Almeida;Fabiano Belém;Marcos André Gonçalves

  • Mining frequent itemsets in distributed and dynamic databases

    M.E. Otey;C. Wang;S. Parthasarathy;A. Veloso

  • Automated Essay Scoring in the Presence of Biased Ratings

    Evelin Amorim;Marcia Cançado;Adriano Veloso

Frequent Co-Authors

Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Nivio Ziviani
Nivio Ziviani Universidade Federal de Minas Gerais
Marcos André Gonçalves
Marcos André Gonçalves Universidade Federal de Minas Gerais
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Alberto H. F. Laender
Alberto H. F. Laender Universidade Federal de Minas Gerais
Fabrício Benevenuto
Fabrício Benevenuto Universidade Federal de Minas Gerais
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais
Edleno Silva de Moura
Edleno Silva de Moura Federal University of Amazonas

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