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João Manuel R. S. Tavares

João Manuel R. S. Tavares

University of Porto
Portugal

Award Badge
Computer Science
Portugal
2026

D-Index & Metrics

Computer Science

D-Index
54
Citations
13254
World Ranking
4522
National Ranking
8

João Manuel R. S. Tavares 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 João Manuel R. S. Tavares 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: 597 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.

João Manuel R. S. Tavares 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 João Manuel R. S. Tavares 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: 54 D-Index — 69th percentile

69% 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 Portugal Leader Award
  • 2025 - Research.com Computer Science in Portugal Leader Award
  • 2023 - Research.com Computer Science in Portugal Leader Award
  • 2022 - Research.com Computer Science in Portugal Leader Award

Overview

João Manuel R. S. Tavares is a researcher affiliated with the University of Porto in Portugal. Their work spans multiple domains primarily within computer science, engineering, and medicine, contributing significantly to interdisciplinary fields that combine advanced computational methods with practical applications in healthcare and biomechanics.

Their research focuses on several main fields, including:

  • Computer Science
  • Engineering
  • Medicine

Within these, their subfields of expertise include:

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing

The main topics explored in their publications reflect specific technological and methodological interests:

  • Human Pose and Action Recognition
  • Gait Recognition and Analysis
  • Music and Audio Processing
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Video Surveillance and Tracking Methods
  • Advanced X-ray and CT Imaging

João Manuel R. S. Tavares has contributed to numerous recent papers including:

  • "A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks," 2022, Expert Systems with Applications
  • "A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition," 2020, Expert Systems
  • "Explainable Deep Learning for Personalized Age Prediction With Brain Morphology," 2021, Frontiers in Neuroscience
  • "Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images," 2020, International Journal of Neuroscience
  • "A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition," 2021, IEEE Sensors Journal

Frequent co-authors collaborating with Tavares include:

  • José J. M. Machado
  • Abdorreza Alavi Gharahbagh
  • Vahid Hajihashemi
  • Marta Campos Ferreira
  • Selim Reza

The venues where their work is most frequently published demonstrate a focus on sensors, applied sciences, computational biomechanics, and multimedia applications:

  • Sensors
  • Applied Sciences
  • Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  • Multimedia Tools and Applications
  • Revista de Ciência Elementar

João Manuel R. S. Tavares has authored books published across several major publishers, reflecting contributions to fields such as data mining, computer vision, artificial intelligence, and expert applications. Notable publishers include Springer International Publishing, Springer Nature, and Springer Science+Business Media. Examples of book titles include:

  • Emerging Technologies in Data Mining and Information Security (2021)
  • Next Generation of Internet of Things (2022)
  • Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering (2020)
  • Computational Vision and Bio-Inspired Computing (2020, 2021, 2022)
  • Advances in Gait-Based Identification (2025)

Best Publications

  • Medical image registration: a review.

    Francisco P.M. Oliveira;João Manuel R.S. Tavares

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

    M. Jorge Cardoso;Tal Arbel;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

    Zhen Ma;João Manuel R.S. Tavares;Renato Natal Jorge;T. Mascarenhas

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Efficient supervised optimum-path forest classification for large datasets

    JoãO P. Papa;Alexandre X. FalcãO;Victor Hugo C. De Albuquerque;JoãO Manuel R. S. Tavares

  • Computational methods for the image segmentation of pigmented skin lesions

    Roberta B. Oliveira;Mercedes E. Filho;Zhen Ma;João P. Papa

  • Automatic 3D pulmonary nodule detection in CT images

    Igor Rafael S. Valente;Paulo César Cortez;Edson Cavalcanti Neto;José Marques Soares

  • Delamination analysis of carbon fibre reinforced laminates: Evaluation of a special step drill

    António T. Marques;Luís M. Durão;António G. Magalhães;João Francisco Silva

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Medical cyber-physical systems: A survey.

    Nilanjan Dey;Amira S. Ashour;Fuqian Shi;Simon James Fong

  • A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform

    Ahmed Faeq Hussein;N Arunkumar;Gustavo Ramírez-González;Enas W. Abdulhay

  • Computational methods for pigmented skin lesion classification in images: review and future trends

    Roberta B. Oliveira;João P. Papa;Aledir S. Pereira;João Manuel Tavares

  • A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model

    Zhen Ma;Joao Manuel R. S. Tavares

  • Deep Learning and Data Labeling for Medical Applications

    Gustavo Carneiro;Diana Mateus;Loïc Peter;Andrew Bradley

  • Machine Learning in Software Defined Networks: Data collection and traffic classification

    Pedro Amaral;Joao Dinis;Paulo Pinto;Luis Bernardo

  • Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

    Nilanjan Dey;Venkatesan Rajinikanth;Amira S. Ashour;João Manuel R. S. Tavares

  • Evaluation of multilayer perceptron and self-organizing map neural network topologies applied on microstructure segmentation from metallographic images

    Victor Hugo C. de Albuquerque;Auzuir Ripardo de Alexandria;Paulo César Cortez;João Manuel R.S. Tavares

  • A REVIEW ON THE CURRENT SEGMENTATION ALGORITHMS FOR MEDICAL IMAGES

    Zhen Ma;João Manuel R. S. Tavares;R. M. Natal Jorge

  • Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising

    Nilanjan Dey;Amira S. Ashour;Samsad Beagum;Dimitra Sifaki Pistola

  • A computational approach for detecting pigmented skin lesions in macroscopic images

    Roberta B. Oliveira;Norian Marranghello;Aledir S. Pereira;João Manuel R.S. Tavares

  • Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images.

    Pedro Pedrosa Rebouças Filho;Paulo César Cortez;Antônio Carlos da Silva Barros;Victor Hugo C. de Albuquerque

Frequent Co-Authors

Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Renato Natal Jorge
Renato Natal Jorge University of Porto
João Paulo Papa
João Paulo Papa Sao Paulo State University
Nilanjan Dey
Nilanjan Dey Techno International New Town
Pedro Pedrosa Rebouças Filho
Pedro Pedrosa Rebouças Filho Instituto Federal do Ceará
Amira S. Ashour
Amira S. Ashour Tanta University
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Ângela Fernandes
Ângela Fernandes Polytechnic Institute of Bragança
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Andrew P. Bradley
Andrew P. Bradley Queensland University of Technology

External Links

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If you’re looking for a quicker path to a rewarding career, there are also 3-month certificate programs that pay well. These short-term certifications can help you upskill and enter the workforce rapidly, making them a practical option alongside your computer science studies.

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Publications: 26

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Amira S. Ashour

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Publications: 24

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Publications: 13

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Publications: 12

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Prince Mohammad bin Fahd University

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Xin-She Yang

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