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Pedro Pedrosa Rebouças Filho

Pedro Pedrosa Rebouças Filho

Instituto Federal do Ceará
Brazil

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 37 10868 10566 36 36 159 5046

Pedro Pedrosa Rebouças Filho publications per year

The chart shows the history of publications by Pedro Pedrosa Rebouças Filho between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pedro Pedrosa Rebouças Filho published across 19 years, from 2008 to 2026, averaging 10.6 papers a year. Output peaked at 38 publications in 2020. 10 of the 202 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2020. 2008: 2 publications 2009: 2 publications 2010: 3 publications 2011: 1 publication 2012: 2 publications 2013: 1 publication 2014: 4 publications 2015: 11 publications 2016: 11 publications 2017: 15 publications 2018: 26 publications 2019: 28 publications 2020: 38 publications 2021: 13 publications 2022: 15 publications 2023: 8 publications 2024: 12 publications 2025: 7 publications 2026: 3 publications
2008 2026

202 publications in total across all disciplines

View publications per year as a table
Pedro Pedrosa Rebouças Filho: publications per year, 2008 to 2026
Year Publications
2008 2
2009 2
2010 3
2011 1
2012 2
2013 1
2014 4
2015 11
2016 11
2017 15
2018 26
2019 28
2020 38
2021 13
2022 15
2023 8
2024 12
2025 7
2026 3
Total 202
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Pedro Pedrosa Rebouças Filho 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 Pedro Pedrosa Rebouças Filho sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 152–161 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559 159
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Pedro Pedrosa Rebouças Filho 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 Pedro Pedrosa Rebouças Filho sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 36–37 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990 37
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Pedro Pedrosa Rebouças Filho is affiliated with the Instituto Federal do Ceará in Brazil. Their research activity spans multiple disciplines, including Medicine, Computer Science, and Engineering. The scientist's work is particularly concentrated in subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The main research topics addressed include COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Lung Cancer Diagnosis and Treatment, Brain Tumor Detection and Classification, Advanced Neural Network Applications, and Medical Image Segmentation Techniques.

Pedro Pedrosa Rebouças Filho has published in various scientific journals and conferences, with frequent publications in venues such as:

  • Congresso Brasileiro de Automática
  • Learning and Nonlinear Models
  • Pattern Recognition Letters
  • IEEE Access
  • IEEE Sensors Journal

Collaborations with other researchers are a notable part of their work. Frequent co-authors include:

  • Victor Hugo C. de Albuquerque (19 co-authored works)
  • Luís Fabrício de Freitas Souza (14 co-authored works)
  • Adriell Gomes Marques (12 co-authored works)
  • Elene Firmeza Ohata (11 co-authored works)
  • Francisco H. S. Silva (9 co-authored works)

Recent publications from Pedro Pedrosa Rebouças Filho highlight their contributions to medical imaging and artificial intelligence applied to healthcare challenges. Selected recent papers include:

  • "Automatic detection of COVID-19 infection using chest X-ray images through transfer learning" (2020), IEEE/CAA Journal of Automatica Sinica
  • "A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system" (2020), Pattern Recognition Letters
  • "An effective approach for CT lung segmentation using mask region-based convolutional neural networks" (2020), Artificial Intelligence in Medicine
  • "An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition" (2020), IEEE Journal on Selected Areas in Communications
  • "Computation Offloading for Vehicular Environments: A Survey" (2020), IEEE Access

Best Publications

  • Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications

    Tiago Carneiro;Raul Victor Medeiros Da Nobrega;Thiago Nepomuceno;Gui-Bin Bian

  • Detecting Parkinson's Disease with Sustained Phonation and Speech Signals using Machine Learning Techniques

    Jefferson Almeida;Pedro Pedrosa Rebouças Filho;Tiago Carneiro;Wei Wei

  • Automatic detection of COVID-19 infection using chest X-ray images through transfer learning

    Elene Firmeza Ohata;Gabriel Maia Bezerra;Joao Victor Souza das Chagas;Aloisio Vieira Lira Neto

  • Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

    Marcus A. G. Santos;Roberto Muñoz;Rodrigo Olivares;Pedro Pedrosa Rebouças Filho

  • A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification

    Leandro Bezerra Marinho;Navar de Medeiros Mendonça e Nascimento;João Wellington M. Souza;Mateus Valentim Gurgel

  • A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

    Douglas de A. Rodrigues;Roberto F. Ivo;Suresh Chandra Satapathy;Shuihua Wang

  • Lung Nodule Classification via Deep Transfer Learning in CT Lung Images

    Raul Victor Medeiros da Nobrega;Solon Alves Peixoto;Suane Pires P. da Silva;Pedro Pedrosa Reboucas Filho

  • Deep learning IoT system for online stroke detection in skull computed tomography images

    Carlos M.J.M. Dourado;Suane Pires P. da Silva;Raul Victor M. da Nóbrega;Antonio Carlos da S. Barros

  • 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

  • An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

    Qinhua Hu;Luís Fabrício de F. Souza;Gabriel Bandeira Holanda;Shara S. A. Alves

  • Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

    Murillo B. Rodrigues;Raul Victor M. Da Nobrega;Shara Shami A. Alves;Pedro Pedrosa Reboucas Filho

  • An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition

    Carlos M. J. M. Dourado;Suane Pires P. da Silva;Raul Victor M. da Nobrega;Pedro P. Reboucas Filho

  • Computation Offloading for Vehicular Environments: A Survey

    Alisson Barbosa De Souza;Paulo A. L. Rego;Tiago Carneiro;Jardel Das C. Rodrigues

  • Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks

    Raul Victor Medeiros da Nóbrega;Pedro Pedrosa Rebouças Filho;Murillo Barata Rodrigues;Suane Pires Pinheiro da Silva

  • A novel transfer learning approach for the classification of histological images of colorectal cancer

    Elene Firmeza Ohata;João Victor Souza das Chagas;Gabriel Maia Bezerra;Mohammad Mehedi Hassan

  • New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities.

    Pedro Pedrosa Rebouças Filho;Róger M. Sarmento;Gabriel Bandeira Holanda;Daniel de Alencar Lima

  • Rotation-invariant feature extraction using a structural co-occurrence matrix

    Geraldo L. Bezerra Ramalho;Daniel S. Ferreira;Pedro P. Rebouças Filho;Fátima N. Sombra de Medeiros

  • Evolutionary algorithms for automatic lung disease detection

    Naman Gupta;Deepak Gupta;Ashish Khanna;Pedro P. Rebouças Filho

  • Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation - A systematic evaluation on synthetic and real images

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

  • Deep Learning-Enhanced Internet of Medical Things to Analyze Brain CT Scans of Hemorrhagic Stroke Patients: A New Approach

    Yongzhao Xu;Gabriel Holanda;Luis Fabricio. de F. Souza;Hercules Silva

  • Classification of EEG signals to detect alcoholism using machine learning techniques

    Jardel das C. Rodrigues;Pedro P. Rebouças Filho;Eugenio Peixoto;Arun Kumar N

  • Brinell and Vickers Hardness Measurement Using Image Processing and Analysis Techniques

    Pedro Pedrosa Rebouças Filho;Tarique da Silveira Cavalcante;Victor Hugo Costa de Albuquerque;João Manuel Ribeiro Silva Tavares

Frequent Co-Authors

Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Mohammad Mehedi Hassan
Mohammad Mehedi Hassan King Saud University
João Paulo Papa
João Paulo Papa Sao Paulo State University
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Sidarta Ribeiro
Sidarta Ribeiro Federal University of Rio Grande do Norte
Biplab Sikdar
Biplab Sikdar National University of Singapore
Wei Wei
Wei Wei Qilu University of Technology
Vinay Chamola
Vinay Chamola Birla Institute of Technology and Science, Pilani

External Links

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Best Scientists Citing Pedro Pedrosa Rebouças Filho

Victor Hugo C. de Albuquerque

Victor Hugo C. de Albuquerque

Universidade Federal do Ceará

Publications: 24

Deepak Gupta

Deepak Gupta

Maharaja Agrasen Institute of Technology (MAIT)

Publications: 9

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 9

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 6

Robertas Damaševičius

Robertas Damaševičius

Kaunas University of Technology

Publications: 6

Manuel Mazzara

Manuel Mazzara

ETH Zurich

Publications: 6

Arun Kumar Sangaiah

Arun Kumar Sangaiah

National Yunlin University of Science and Technology

Publications: 6

João Manuel R. S. Tavares

João Manuel R. S. Tavares

University of Porto

Publications: 6

Salvatore Distefano

Salvatore Distefano

University of Messina

Publications: 5

Mazin Abed Mohammed

Mazin Abed Mohammed

University of Anbar

Publications: 5

Kemal Polat

Kemal Polat

Abant Izzet Baysal University

Publications: 5

Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

Publications: 5

Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues

Federal University of Piauí

Publications: 5

Andreas Uhl

Andreas Uhl

University of Salzburg

Publications: 5

Mahmoud Al-Ayyoub

Mahmoud Al-Ayyoub

Ajman University of Science and Technology

Publications: 5

Vinay Chamola

Vinay Chamola

Birla Institute of Technology and Science, Pilani

Publications: 4

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