World's Best Scientists 2026 revealed!
Victor Hugo C. de Albuquerque

Victor Hugo C. de Albuquerque

Award Badge
Computer Science
Brazil
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 82 983 952 2 2 313 20968

Victor Hugo C. de Albuquerque publications per year

The chart shows the history of publications by Victor Hugo C. de Albuquerque between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Victor Hugo C. de Albuquerque published across 20 years, from 2006 to 2025, averaging 24.1 papers a year. Output peaked at 77 publications in 2021. 66 of the 482 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 77. Peak 77 publications in 2021. 2006: 2 publications 2007: 1 publication 2008: 5 publications 2009: 11 publications 2010: 17 publications 2011: 12 publications 2012: 7 publications 2013: 6 publications 2014: 7 publications 2015: 6 publications 2016: 12 publications 2017: 12 publications 2018: 38 publications 2019: 47 publications 2020: 73 publications 2021: 77 publications 2022: 44 publications 2023: 39 publications 2024: 38 publications 2025: 28 publications
2006 2025

482 publications in total across all disciplines

View publications per year as a table
Victor Hugo C. de Albuquerque: publications per year, 2006 to 2025
Year Publications
2006 2
2007 1
2008 5
2009 11
2010 17
2011 12
2012 7
2013 6
2014 7
2015 6
2016 12
2017 12
2018 38
2019 47
2020 73
2021 77
2022 44
2023 39
2024 38
2025 28
Total 482
Download as CSV

Victor Hugo C. de Albuquerque 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 Victor Hugo C. de Albuquerque 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, 312–321 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: 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.

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
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
312–321 238 313
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

Victor Hugo C. de Albuquerque 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 Victor Hugo C. de Albuquerque 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, 82–83 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: 82 D-Index — 94th percentile

94% 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
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 82
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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Brazil Leader Award
  • 2025 - Research.com Computer Science in Brazil Leader Award
  • 2023 - Research.com Computer Science in Brazil Leader Award
  • 2022 - Research.com Computer Science in Brazil Leader Award

Overview

Victor Hugo C. de Albuquerque is affiliated with the Universidade Federal do Ceará in Brazil and has made extensive contributions to research primarily in the fields of Computer Science and Medicine. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, and Information Systems.

The scientist's research covers a variety of topics such as Video Surveillance and Tracking Methods, COVID-19 diagnosis using AI, IoT and Edge/Fog Computing, AI in cancer detection, Advanced Neural Network Applications, EEG and Brain-Computer Interfaces, and Radiomics and Machine Learning in Medical Imaging.

Recent notable papers authored or co-authored by Victor Hugo C. de Albuquerque include:

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images, 2020, Applied Sciences
  • Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Automatic detection of COVID-19 infection using chest X-ray images through transfer learning, 2020, IEEE/CAA Journal of Automatica Sinica
  • Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring, 2021, IEEE Transactions on Multimedia

Frequent collaborators of Victor Hugo C. de Albuquerque include researchers such as Khan Muhammad, Pedro P. Rebouças Filho, Joel J. P. C. Rodrigues, Senthil Kumar Jagatheesaperumal, and Deepak Gupta.

The scientist frequently publishes in venues that include:

  • IEEE Internet of Things Journal
  • Applied Soft Computing
  • IEEE Transactions on Industrial Informatics
  • Expert Systems with Applications
  • IEEE Network

In addition to journal articles, Victor Hugo C. de Albuquerque has published several books with Springer Nature. These include:

  • IoT in Healthcare and Ambient Assisted Living, 2021
  • Cognitive Informatics and Soft Computing, 2021
  • Hybrid Artificial Intelligence and IoT in Healthcare, 2021
  • Information Management and Machine Intelligence, 2020

The scope of their work encompasses intersections of machine learning, healthcare, and intelligent systems with a strong emphasis on practical applications such as medical imaging diagnostics, autonomous systems safety, and remote monitoring technologies.

Best Publications

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

    Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta

  • 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

  • Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

    Khan Muhammad;Amin Ullah;Jaime Lloret;Javier Del Ser

  • Internet of Things: A survey on machine learning-based intrusion detection approaches

    Kelton A.P. da Costa;João P. Papa;Celso O. Lisboa;Roberto Munoz

  • Enabling Technologies for the Internet of Health Things

    Joel J. P. C. Rodrigues;Dante Borges De Rezende Segundo;Heres Arantes Junqueira;Murilo Henrique Sabino

  • Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

    Khan Muhammad;Salman Khan;Javier Del Ser;Victor Hugo C. de Albuquerque

  • Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications

    Ali Hassan Sodhro;Sandeep Pirbhulal;Victor Hugo C. de Albuquerque

  • A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

    Mohamed Abdel-Basset;Doaa El-Shahat;Ibrahim M. El-Henawy;Victor Hugo C. de Albuquerque

  • A Reference Model for Internet of Things Middleware

    Mauro A. A. da Cruz;Joel Jose P. C. Rodrigues;Jalal Al-Muhtadi;Valery V. Korotaev

  • 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

  • Advances in Photopletysmography Signal Analysis for Biomedical Applications

    Jermana L. Moraes;Matheus Xavier Rocha;Glauco Vasconcelos;José Eurico de Vasconcelos Filho

  • Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

    Aditya Khamparia;Gurinder Saini;Deepak Gupta;Ashish Khanna

  • Optimal feature-based multi-kernel SVM approach for thyroid disease classification

    K. Shankar;S. K. Lakshmanaprabu;Deepak Gupta;Andino Maseleno

  • Automatic 3D pulmonary nodule detection in CT images

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

  • Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms

    Bright Keswani;Ambarish G. Mohapatra;Amarjeet Mohanty;Ashish Khanna

  • 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

  • Human action recognition using attention based LSTM network with dilated CNN features

    Khan Muhammad;Mustaqeem;Amin Ullah;Amin Ullah;Ali Shariq Imran

  • 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

  • Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

    Deepak Gupta;Arnav Julka;Sanchit Jain;Tushar Aggarwal

  • Improved diagnosis of Parkinson's disease using optimized crow search algorithm

    Deepak Gupta;Shirsh Sundaram;Ashish Khanna;Aboul Ella Hassanien

  • A Smart Waste Management Solution Geared towards Citizens.

    Kellow Pardini;Joel J.P.C. Rodrigues;Joel J.P.C. Rodrigues;Ousmane Diallo;Ashok Kumar Das

Frequent Co-Authors

João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Pedro Pedrosa Rebouças Filho
Pedro Pedrosa Rebouças Filho Instituto Federal do Ceará
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
João Paulo Papa
João Paulo Papa Sao Paulo State University
Deepak Gupta
Deepak Gupta Maharaja Agrasen Institute of Technology (MAIT)
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Ashish Khanna
Ashish Khanna Maharaja Agrasen Institute of Technology (MAIT)
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Sandeep Pirbhulal
Sandeep Pirbhulal Norwegian University of Science and Technology
Sidarta Ribeiro
Sidarta Ribeiro Federal University of Rio Grande do Norte

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

Exploring online degrees in computer science opens new possibilities for students with diverse backgrounds and goals. Many universities offer cheap online degrees fast, making education more accessible and affordable for everyone. This option is especially attractive for those looking to minimize costs and quickly enter the tech workforce.

If your academic record includes a lower GPA, there are online graduate programs that accept 2.0 gpa, expanding opportunities for nontraditional or returning students. Flexible admissions recognize the potential for growth beyond test scores and previous grades.

Online learning also extends to related fields. For example, if you are interested in environmental technology or science, see what jobs can you get with an environmental science degree to understand career prospects in sustainability, conservation, or environmental data analysis.

For those seeking a fast-tracked route, there are programs designed to intensively cover the curriculum in less time. Consider the accelerated cs degree options for ambitious students eager to start their careers sooner.

Best Scientists Citing Victor Hugo C. de Albuquerque

Trending Scientists