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Aristófanes Corrêa Silva

Aristófanes Corrêa Silva

Federal University of Maranhão
Brazil

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 36 11386 11063 43 43 184 4332

Aristófanes Corrêa Silva publications per year

The chart shows the history of publications by Aristófanes Corrêa Silva between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Aristófanes Corrêa Silva published across 29 years, from 1997 to 2025, averaging 9.5 papers a year. Output peaked at 29 publications in 2019. 42 of the 275 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2019. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 5 publications 2005: 5 publications 2006: 2 publications 2007: 6 publications 2008: 3 publications 2009: 11 publications 2010: 7 publications 2011: 5 publications 2012: 12 publications 2013: 12 publications 2014: 7 publications 2015: 7 publications 2016: 8 publications 2017: 19 publications 2018: 19 publications 2019: 29 publications 2020: 22 publications 2021: 20 publications 2022: 18 publications 2023: 14 publications 2024: 21 publications 2025: 21 publications
1997 2025

275 publications in total across all disciplines

View publications per year as a table
Aristófanes Corrêa Silva: publications per year, 1997 to 2025
Year Publications
1997 1
1998 0
1999 0
2000 0
2001 0
2002 1
2003 0
2004 5
2005 5
2006 2
2007 6
2008 3
2009 11
2010 7
2011 5
2012 12
2013 12
2014 7
2015 7
2016 8
2017 19
2018 19
2019 29
2020 22
2021 20
2022 18
2023 14
2024 21
2025 21
Total 275
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Aristófanes Corrêa Silva 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 Aristófanes Corrêa Silva 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, 182–191 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: 184 publications — 40th percentile

40% 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
162–171 534
172–181 556
182–191 583 184
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

Aristófanes Corrêa Silva 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 Aristófanes Corrêa Silva 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: 36 D-Index — 23rd percentile

23% 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 36
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

Aristófanes Corrêa Silva is affiliated with the Federal University of Maranhão in Brazil. Their research spans multiple disciplines including Medicine, Computer Science, and Engineering, contributing to a comprehensive body of work in medical imaging and artificial intelligence applications.

Their recent papers cover a range of topics related to medical imaging and automated diagnostic methods. Notable publications include:

  • "Kidney segmentation from computed tomography images using deep neural network" (2020), published in Computers in Biology and Medicine
  • "Breast cancer diagnosis from histopathological images using textural features and CBIR" (2020), published in Artificial Intelligence in Medicine
  • "Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model" (2021), published in Expert Systems with Applications
  • "Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost" (2021), published in Expert Systems with Applications
  • "Liver segmentation from computed tomography images using cascade deep learning" (2021), published in Computers in Biology and Medicine

The scientist frequently collaborates with several coauthors, with the most frequent including:

  • Anselmo Cardoso de Paiva
  • Geraldo Bráz
  • João Dallyson Sousa de Almeida
  • João Otávio Bandeira Diniz
  • Marcelo Gattass

Publication venues where the scientist has contributed multiple works include:

  • Expert Systems with Applications
  • Computers in Biology and Medicine
  • Applied Sciences
  • Procedia Computer Science
  • Brazilian Applied Science Review

Research topics emphasized in their work span advanced medical imaging, machine learning, and artificial intelligence techniques, focusing particularly on:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Glaucoma and retinal disorders
  • Advanced X-ray and CT Imaging
  • COVID-19 diagnosis using AI
  • Retinal Imaging and Analysis

The scientist has also made contributions to book publications. One example is a work published by IFPI eBooks titled Análise temporal de mudanças no tecido tumoral da mama em imagens de ressonância magnética com realce de contraste dinâmico (2022).

In terms of specialized research focus, major subfields include Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Ophthalmology. This highlights a multidisciplinary approach to advancing medical image analysis and diagnostic support systems.

Best Publications

  • A New Database for Breast Research with Infrared Image

    L. F. Silva;D. C. M. Saade;G. O. Sequeiros;A. C. Silva

  • An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

    Johnatan Carvalho Souza;João Otávio Bandeira Diniz;Jonnison Lima Ferreira;Giovanni Lucca França da Silva

  • Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.

    Giovanni Lucca França da Silva;Thales Levi Azevedo Valente;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Detection of masses in mammogram images using CNN, geostatistic functions and SVM

    Wener Borges Sampaio;Edgar Moraes Diniz;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Methodology for automatic detection of lung nodules in computerized tomography images

    João Rodrigo Ferreira da Silva Sousa;Aristófanes Corra Silva;Anselmo Cardoso de Paiva;Rodolfo Acatauassú Nunes

  • Detection of Masses in Digital Mammograms using K-Means and Support Vector Machine

    Leonardo de Oliveira Martins;Geraldo Braz Junior;Aristófanes Correa Silva;Anselmo Cardoso de Paiva

  • Automatic segmentation of lung nodules with growing neural gas and support vector machine

    Stelmo Magalhães Barros Netto;Aristófanes Corrêa Silva;Rodolfo Acatauassú Nunes;Marcelo Gattass

  • Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.

    Antonio Oseas de Carvalho Filho;Wener Borges de Sampaio;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

    Alex Martins Santos;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Kidney segmentation from computed tomography images using deep neural network.

    Luana Batista da Cruz;José Denes Lima Araújo;Jonnison Lima Ferreira;João Otávio Bandeira Diniz

  • Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

    Fernando Soares Sérvulo de Oliveira;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model

    Unknown

  • Breast cancer diagnosis from histopathological images using textural features and CBIR.

    Edson Damasceno Carvalho;Antonio Oseas de Carvalho Filho;Romuere R. V. e Silva;Flávio H. D. Araújo

  • Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM

    Geraldo Braz Junior;Anselmo Cardoso de Paiva;Aristófanes Corrêa Silva;Alexandre Cesar Muniz de Oliveira

  • Hybrid analysis for indicating patients with breast cancer using temperature time series

    Lincoln F. Silva;Alair Augusto S.M.D. Santos;Renato S. Bravo;Aristófanes C. Silva

  • Liver segmentation from computed tomography images using cascade deep learning

    Unknown

  • Lung nodules diagnosis based on evolutionary convolutional neural network

    Giovanni L. Silva;Otílio P. Silva Neto;Aristófanes C. Silva;Anselmo C. Paiva

  • Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

    Marcos Vinícius dos Santos Ferreira;Antonio Oseas de Carvalho Filho;Alcilene Dalília de Sousa;Aristófanes Corrêa Silva

  • Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks

    João Otávio Bandeira Diniz;Pedro Henrique Bandeira Diniz;Thales Levi Azevedo Valente;Aristófanes Corrêa Silva

  • Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

    Antonio Oseas de Carvalho Filho;Aristofanes Corrêa Silva;Anselmo Cardoso de Paiva;Rodolfo Acatauassú Nunes

  • Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost

    Domingos Alves Dias Júnior;Luana Batista da Cruz;João Otávio Bandeira Diniz;Giovanni Lucca França da Silva

  • Lung nodule classification using artificial crawlers, directional texture and support vector machine

    Bruno Rodrigues Froz;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

Frequent Co-Authors

Marcelo Gattass
Marcelo Gattass Pontifical Catholic University of Rio de Janeiro
Vanderson Rocha
Vanderson Rocha Universidade de São Paulo

External Links

Personal website of Aristófanes Corrêa Silva

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