World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7598
World Ranking
6910
National Ranking
112

Ricardo da Silva Torres 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 da Silva Torres 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Ricardo da Silva Torres 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 da Silva Torres 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Ricardo da Silva Torres is affiliated with the Norwegian University of Science and Technology in Norway. Their research is primarily situated within the field of Computer Science, with a concentration on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Orthopedics and Sports Medicine, Signal Processing, and Economics and Econometrics.

Their work spans various topics, notably in Sports Performance and Training, Sports Analytics and Performance, Sports Injuries and Prevention, Advanced Image and Video Retrieval Techniques, Time Series Analysis and Forecasting, Remote Sensing in Agriculture, and Image Retrieval and Classification Techniques.

Ricardo da Silva Torres has published extensively in several academic venues. The most frequent publication platforms include IEEE Access, PLoS ONE, Scientific Reports, Sensors, and Multimedia Tools and Applications.

Recent papers authored include:

  • Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review (2020, European Journal of Sport Science)
  • On the classification of fog computing applications: A machine learning perspective (2020, Journal of Network and Computer Applications)
  • KGen: a knowledge graph generator from biomedical scientific literature (2020, BMC Medical Informatics and Decision Making)
  • BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study (2023, Information and Software Technology)
  • Litter Detection with Deep Learning: A Comparative Study (2022, Sensors)

Frequent co-authors collaborating with Ricardo da Silva Torres include Allan Pinto, Felipe Arruda Moura, Sérgio Augusto Cunha, Hélio Pedrini, and Manuel Córdova.

Best Publications

  • Content-Based Image Retrieval: Theory and Applications.

    Ricardo da Silva Torres;Alexandre X. Falcão

  • Nearest neighbors distance ratio open-set classifier

    Pedro R. Mendes Júnior;Roberto M. Souza;Rafael De Werneck;Bernardo V. Stein

  • Comparative study of global color and texture descriptors for web image retrieval

    Otávio A. B. Penatti;Eduardo Valle;Ricardo da S. Torres

  • A genetic programming framework for content-based image retrieval

    Ricardo da S. Torres;Alexandre X. Falcão;Marcos A. Gonçalves;João P. Papa

  • A graph-based approach for multiscale shape analysis

    R. da S. Torres;A.X. Falcão;L. da F. Costa

  • VISON: VIdeo Summarization for ONline applications

    Jurandy Almeida;Neucimar J. Leite;Ricardo da S. Torres

  • Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review.

    F R Goes;L A Meerhoff;M J O Bueno;D M Rodrigues

  • Contour salience descriptors for effective image retrieval and analysis

    R. da S. Torres;A.X. Falcão

  • Image re-ranking and rank aggregation based on similarity of ranked lists

    Daniel Carlos GuimarãEs Pedronette;Ricardo Da S. Torres

  • A competition on generalized software-based face presentation attack detection in mobile scenarios

    Z. Boulkenafet;J. Komulainen;Z. Akhtar;A. Benlamoudi

  • Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation

    Bruna Alberton;Ricardo da S. Torres;Leonardo F. Cancian;Bruno D. Borges

  • Illuminant-Based Transformed Spaces for Image Forensics

    Tiago Carvalho;Fabio A. Faria;Helio Pedrini;Ricardo da S. Torres

  • Visual word spatial arrangement for image retrieval and classification

    Otávio A.B. Penatti;Fernanda B. Silva;Eduardo Valle;Valerie Gouet-Brunet

  • Visual structures for image browsing

    Ricardo S. Torres;Celmar G. Silva;Claudia B. Medeiros;Heloisa V. Rocha

  • Relevance feedback based on genetic programming for image retrieval

    C. D. Ferreira;J. A. Santos;R. da S. Torres;M. A. Gonçalves

  • Shape feature extraction and description based on tensor scale

    F. A. Andaló;P. A. V. Miranda;R. da S. Torres;A. X. Falcão

  • Online video summarization on compressed domain

    Jurandy Almeida;Neucimar J. Leite;Ricardo da Silva Torres

  • Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

    Bruna Alberton;Jurandy Almeida;Raimund Helm;Ricardo da S. Torres

  • A relevance feedback method based on genetic programming for classification of remote sensing images

    J. A. dos Santos;C. D. Ferreira;R. da S. Torres;M. A. Gonçalves

  • WOODSS and the Web: annotating and reusing scientific workflows

    C. B. Medeiros;J. Perez-Alcazar;L. Digiampietri;G. Z. Pastorello

  • Exploiting ConvNet Diversity for Flooding Identification

    Keiller Nogueira;Samuel G. Fadel;Icaro C. Dourado;Rafael de O. Werneck

  • EVALUATING THE POTENTIAL OF TEXTURE AND COLOR DESCRIPTORS FOR REMOTE SENSING IMAGE RETRIEVAL AND CLASSIFICATION

    Jefersson Alex dos Santos;Otávio Augusto Bizetto Penatti;Ricardo da Silva Torres

Frequent Co-Authors

Marcos André Gonçalves
Marcos André Gonçalves Universidade Federal de Minas Gerais
Leonor Patricia C. Morellato
Leonor Patricia C. Morellato Sao Paulo State University
Edward A. Fox
Edward A. Fox Virginia Tech
Anderson Rocha
Anderson Rocha State University of Campinas
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Jens Strauss
Jens Strauss Alfred Wegener Institute for Polar and Marine Research
Weiguo Fan
Weiguo Fan University of Iowa
João Paulo Papa
João Paulo Papa Sao Paulo State University
Thiago Sanna Freire Silva
Thiago Sanna Freire Silva University of Stirling
Guido Grosse
Guido Grosse Alfred Wegener Institute for Polar and Marine Research

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