World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7598
World Ranking
6909
National Ranking
112

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
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
Weiguo Fan
Weiguo Fan University of Iowa
João Paulo Papa
João Paulo Papa Sao Paulo State University
Edleno Silva de Moura
Edleno Silva de Moura Federal University of Amazonas
Guido Grosse
Guido Grosse Alfred Wegener Institute for Polar and Marine Research
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Jacques Wainer
Jacques Wainer State University of Campinas

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you consider studying Computer Science in the USA, it's important to explore related online degrees and flexible career options. Many students opt for specialized programs to sharpen their skills and boost employability. With rising tuition costs, finding affordable, high-quality education is key. Those interested in analytics and tech should look into the cheapest master in data science programs, which provide advanced training at a lower cost.

Engineering remains a top choice for tech-minded students. The best online electrical engineering programs USA offer flexible, accredited degrees perfect for working professionals or international students. Alternatively, quick skills upgrades are possible through online certifications for jobs—these are ideal for fast entry into high-paying IT or data roles.

Time is often a concern; that’s why some students explore the quickest cheapest masters degree pathways to accelerate their journey and minimize costs. Whether you seek a graduate degree or a short-term certificate, online options in computer science and related fields provide flexibility and opportunities tailored to your career ambitions.

Best Scientists Citing Ricardo da Silva Torres

Trending Scientists

Recently Published Articles