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Giovanni Montana

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 35 11617 11285 729 717 139 5832

Giovanni Montana publications per year

The chart shows the history of publications by Giovanni Montana between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Giovanni Montana published across 24 years, from 2002 to 2025, averaging 7.9 papers a year. Output peaked at 17 publications in 2016. 25 of the 190 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2016. 2002: 1 publication 2003: 0 publications 2004: 1 publication 2005: 2 publications 2006: 1 publication 2007: 2 publications 2008: 2 publications 2009: 6 publications 2010: 9 publications 2011: 9 publications 2012: 15 publications 2013: 11 publications 2014: 9 publications 2015: 13 publications 2016: 17 publications 2017: 12 publications 2018: 11 publications 2019: 8 publications 2020: 10 publications 2021: 5 publications 2022: 9 publications 2023: 12 publications 2024: 17 publications 2025: 8 publications
2002 2025

190 publications in total across all disciplines

View publications per year as a table
Giovanni Montana: publications per year, 2002 to 2025
Year Publications
2002 1
2003 0
2004 1
2005 2
2006 1
2007 2
2008 2
2009 6
2010 9
2011 9
2012 15
2013 11
2014 9
2015 13
2016 17
2017 12
2018 11
2019 8
2020 10
2021 5
2022 9
2023 12
2024 17
2025 8
Total 190
Download as CSV

Giovanni Montana 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 Giovanni Montana 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, 132–141 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: 139 publications — 22nd percentile

22% 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
132–141 555 139
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
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

Giovanni Montana 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 Giovanni Montana 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, 34–35 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: 35 D-Index — 20th percentile

20% 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 35
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
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

Giovanni Montana is affiliated with the University of Warwick in the United Kingdom. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Computational Theory and Mathematics.

The scientist has explored diverse topics in their work, including Reinforcement Learning in Robotics, Robot Manipulation and Learning, Artificial Intelligence in Healthcare and Education, Topological and Geometric Data Analysis, Medical Imaging Techniques and Applications, Advanced Neuroimaging Techniques and Applications, and Global Cancer Incidence and Screening.

Frequent coauthors of Giovanni Montana include:

  • Yue Jin
  • Andrew J. Lawrence
  • Carmine M. Pariante
  • Mitul A. Mehta
  • Ana Rodríguez-Mateos

The scientist's recent papers cover a range of topics and were published in notable venues. These include:

  • "Evaluation of an AI Model to Assess Future Breast Cancer Risk," 2023, Radiology
  • "Mediators and moderators in the relationship between maternal childhood adversity and children's emotional and behavioural development: a systematic review and meta-analysis," 2022, Psychological Medicine
  • "A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR," 2022, IEEE Transactions on Medical Imaging
  • "Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study," 2023, The Lancet Digital Health
  • "PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals," 2020, arXiv (Cornell University)

Publications by Giovanni Montana have appeared frequently in the following venues:

  • arXiv (Cornell University)
  • Machine Learning
  • Neuroscience Applied
  • Psychoneuroendocrinology
  • Radiology

Best Publications

  • Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.

    James H. Cole;Rudra P. K. Poudel;Dimosthenis Tsagkrasoulis;Matthan W. A. Caan

  • Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks

    Adrien Payan;Giovanni Montana

  • Deep neural networks for anatomical brain segmentation

    Alexandre de Brebisson;Giovanni Montana

  • Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks

    Mauro Annarumma;Samuel J. Withey;Robert J. Bakewell;Emanuele Pesce

  • Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation

    Rudra P. K. Poudel;Pablo Lamata;Giovanni Montana

  • Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.

    Maria Vounou;Thomas E. Nichols;Giovanni Montana

  • Estimating time-varying brain connectivity networks from functional MRI time series.

    Ricardo Pio Monti;Peter Hellyer;David J. Sharp;Robert Leech

  • Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.

    Petros Pavlos Ypsilantis;Musib Siddique;Hyon Mok Sohn;Andrew Davies

  • Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

    Maria Vounou;Eva Janousova;Robin Wolz;Jason L. Stein

  • False positives in neuroimaging genetics using voxel-based morphometry data.

    Matt Silver;Giovanni Montana;Thomas E. Nichols

  • Learning to detect chest radiographs containing pulmonary lesions using visual attention networks

    Emanuele Pesce;Samuel Joseph Withey;Petros-Pavlos Ypsilantis;Robert Bakewell

  • Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression☆

    Matt J Silver;Eva Janoušová;Xue Hua;Paul M Thompson

  • Community Detection in Multiplex Networks using Locally Adaptive Random Walks

    Zhana Kuncheva;Giovanni Montana

  • The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI

    Romy Lorenz;Ricardo Pio Monti;Inês R. Violante;Christoforos Anagnostopoulos

  • HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients

    Giovanni Montana

  • Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping

    Dimosthenis Tsagkrasoulis;Pirro Hysi;Tim Spector;Giovanni Montana;Giovanni Montana

  • Subspace clustering of high-dimensional data: a predictive approach

    Brian Mcwilliams;Giovanni Montana

  • Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication

    Emanuele Pesce;Giovanni Montana

  • Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks

    Savelie Cornegruta;Robert Bakewell;Samuel Withey;Giovanni Montana

  • Flexible least squares for temporal data mining and statistical arbitrage

    Giovanni Montana;Kostas Triantafyllopoulos;Theodoros Tsagaris

  • Statistical methods in genetics

    Giovanni Montana

Frequent Co-Authors

Robert Leech
Robert Leech King's College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Serena J. Counsell
Serena J. Counsell King's College London
Adam Hampshire
Adam Hampshire Imperial College London
Andrew P. King
Andrew P. King King's College London
David J. Sharp
David J. Sharp Imperial College London
Paul Aljabar
Paul Aljabar King's College London
Michael Levin
Michael Levin Tufts University
Paul M. Matthews
Paul M. Matthews Imperial College London
Tim D. Spector
Tim D. Spector King's College London

External Links

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Best Scientists Citing Giovanni Montana

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 54

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 49

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 42

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 40

James H. Cole

James H. Cole

University College London

Publications: 39

Marnie E. Blewitt

Marnie E. Blewitt

Walter and Eliza Hall Institute of Medical Research

Publications: 34

Ralph Panstruga

Ralph Panstruga

RWTH Aachen University

Publications: 31

Tobias Kaufmann

Tobias Kaufmann

University of Oslo

Publications: 30

Li Shen

Li Shen

University of Pennsylvania

Publications: 28

Pietro Spanu

Pietro Spanu

Imperial College London

Publications: 28

Andrew J. Saykin

Andrew J. Saykin

Indiana University

Publications: 27

Bernard Henrissat

Bernard Henrissat

Technical University of Denmark

Publications: 27

Igor V. Grigoriev

Igor V. Grigoriev

Lawrence Berkeley National Laboratory

Publications: 23

Neil Brockdorff

Neil Brockdorff

University of Oxford

Publications: 23

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 23

Ryuta Kawashima

Ryuta Kawashima

Tohoku University

Publications: 22

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