World's Best Scientists 2026 revealed!
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Gustavo Carneiro
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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 64 2573 2493 146 144 294 18577

Gustavo Carneiro publications per year

The chart shows the history of publications by Gustavo Carneiro between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gustavo Carneiro published across 28 years, from 1999 to 2026, averaging 15.7 papers a year. Output peaked at 57 publications in 2024. 38 of the 440 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 57. Peak 57 publications in 2024. 1999: 3 publications 2000: 0 publications 2001: 0 publications 2002: 4 publications 2003: 2 publications 2004: 5 publications 2005: 7 publications 2006: 3 publications 2007: 6 publications 2008: 7 publications 2009: 7 publications 2010: 7 publications 2011: 8 publications 2012: 8 publications 2013: 9 publications 2014: 4 publications 2015: 17 publications 2016: 10 publications 2017: 29 publications 2018: 18 publications 2019: 18 publications 2020: 37 publications 2021: 54 publications 2022: 44 publications 2023: 38 publications 2024: 57 publications 2025: 37 publications 2026: 1 publication
1999 2026

440 publications in total across all disciplines

View publications per year as a table
Gustavo Carneiro: publications per year, 1999 to 2026
Year Publications
1999 3
2000 0
2001 0
2002 4
2003 2
2004 5
2005 7
2006 3
2007 6
2008 7
2009 7
2010 7
2011 8
2012 8
2013 9
2014 4
2015 17
2016 10
2017 29
2018 18
2019 18
2020 37
2021 54
2022 44
2023 38
2024 57
2025 37
2026 1
Total 440
Download as CSV

Gustavo Carneiro publications per year - data summary

  • Gustavo Carneiro, a Computer Science scholar from University of Surrey, has 440 publications recorded across 28 years, from 1999 to 2026.
  • The oldest publication on record dates to 1999 and the most recent to 2026.
  • The most productive year is 2024, with 57 publications.
  • The least productive year with any output is 2026, with 1 publication.
  • 2 of the 28 years in the span carry no publications at all (2000 and 2001).
  • The rate of publication averages 15.7 papers per year over the whole span, or 16.9 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 177 publications, 40% of the career total.
  • Split into equal eras - 1999-2008: 37 publications (3.7 per year); 2009-2018: 117 publications (11.7 per year); 2019-2026: 286 publications (35.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gustavo Carneiro 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 Gustavo Carneiro 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, 292–301 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: 294 publications — 73rd percentile

73% 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
292–301 293 294
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

Gustavo Carneiro publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Gustavo Carneiro, a Computer Science scholar from University of Surrey, records 294 publications - the 73rd percentile of the discipline.
  • 73% of ranked Computer Science scientists score the same or lower than Gustavo Carneiro, and about 27% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Gustavo Carneiro ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Gustavo Carneiro 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 Gustavo Carneiro 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, 64–65 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: 64 D-Index — 82nd percentile

82% 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 64
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

Gustavo Carneiro D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Gustavo Carneiro, a Computer Science scholar from University of Surrey, records 64 D-Index - the 82nd percentile of the discipline.
  • 82% of ranked Computer Science scientists score the same or lower than Gustavo Carneiro, and about 18% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Gustavo Carneiro ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

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

Overview

Gustavo Carneiro is affiliated with the University of Adelaide in Australia and has a significant body of work spanning computer science and medicine. Their research primarily focuses on artificial intelligence and its applications in medical imaging and cancer detection, with an emphasis on machine learning and data classification methodologies.

The scientist has contributed to 261 publications in computer science and 191 publications in medicine. Within these fields, the most prominent subfields of study include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Oncology
  • Civil and Structural Engineering

Gustavo Carneiro's main research topics encompass:

  • Machine Learning and Data Classification
  • COVID-19 diagnosis using AI
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging

Among recent papers authored or co-authored by Gustavo Carneiro are:

  • "Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis," 2021, published in BMC Cancer
  • "ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep One-Class Classification via Interpolated Gaussian Descriptor," 2022, presented at the Proceedings of the AAAI Conference on Artificial Intelligence

Gustavo Carneiro frequently collaborates with a consistent group of co-authors, including:

  • Yuyuan Liu
  • Fengbei Liu
  • Chong Wang
  • Vasileios Belagiannis
  • Thanh-Toan Do

Best Publications

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;B. G. Vijay Kumar;Gustavo Carneiro;Ian D. Reid

  • Supervised Learning of Semantic Classes for Image Annotation and Retrieval

    G. Carneiro;A.B. Chan;P.J. Moreno;N. Vasconcelos

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

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

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;Vijay Kumar Bg;Gustavo Carneiro;Ian Reid

  • Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning

    Yu Tian;Guansong Pang;Yuanhong Chen;Rajvinder Singh

  • Multi-modal Cycle-Consistent Generalized Zero-Shot Learning

    Rafael Felix;B. G. Vijay Kumar;Ian D. Reid;Gustavo Carneiro

  • Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.

    Tuan Anh Ngo;Zhi Lu;Gustavo Carneiro

  • A deep learning approach for the analysis of masses in mammograms with minimal user intervention.

    Neeraj Dhungel;Gustavo Carneiro;Andrew P. Bradley

  • Smart Mining for Deep Metric Learning

    Ben Harwood;Vijay Kumar B. G;Gustavo Carneiro;Ian Reid

  • Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

    Unknown

  • Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions

    Vijay Kumar B G;Gustavo Carneiro;Ian Reid

  • Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

    Luke Oakden-Rayner;Jared Dunnmon;Gustavo Carneiro;Christopher Re

  • Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models

    Gustavo Carneiro;Jacinto C. Nascimento;Andrew P. Bradley

  • An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells

    Zhi Lu;Gustavo Carneiro;Andrew P. Bradley

  • Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

    G. Carneiro;B. Georgescu;S. Good;D. Comaniciu

  • Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests

    Neeraj Dhungel;Gustavo Carneiro;Andrew P. Bradley

  • Cross-layer design in 4G wireless terminals

    G. Carneiro;J. Ruela;M. Ricardo

  • 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

  • The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods

    G. Carneiro;J. C. Nascimento;A. Freitas

  • Formulating semantic image annotation as a supervised learning problem

    G. Carneiro;N. Vasconcelos

  • Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume

    Adrian Johnston;Gustavo Carneiro

  • Deep Learning and Convolutional Neural Networks for Medical Image Computing

    Le Lu;Yefeng Zheng;Gustavo Carneiro;Lin Yang

  • Deep Learning and Data Labeling for Medical Applications

    Gustavo Carneiro;Diana Mateus;Loïc Peter;Andrew Bradley

  • Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions

    Vijay Kumar B G;Gustavo Carneiro;Ian Reid

Frequent Co-Authors

Jacinto C. Nascimento
Jacinto C. Nascimento Instituto Superior Técnico
Andrew P. Bradley
Andrew P. Bradley Queensland University of Technology
Ian Reid
Ian Reid University of Adelaide
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Alastair D. Burt
Alastair D. Burt Newcastle University
Nuno Vasconcelos
Nuno Vasconcelos University of California, San Diego
João Paulo Papa
João Paulo Papa Sao Paulo State University
Allan D. Jepson
Allan D. Jepson University of Toronto
Lyle J. Palmer
Lyle J. Palmer University of Adelaide
Nassir Navab
Nassir Navab Technical University of Munich

External Links

Personal website of Gustavo Carneiro Google Scholar page

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Publications: 25

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