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Alejandro F. Frangi

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 72 1639 1590 89 88 568 33425

Alejandro F. Frangi publications per year

The chart shows the history of publications by Alejandro F. Frangi between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alejandro F. Frangi published across 30 years, from 1996 to 2025, averaging 25.8 papers a year. Output peaked at 51 publications in 2024. 82 of the 773 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2024. 1996: 2 publications 1997: 1 publication 1998: 1 publication 1999: 3 publications 2000: 3 publications 2001: 7 publications 2002: 8 publications 2003: 13 publications 2004: 9 publications 2005: 26 publications 2006: 15 publications 2007: 25 publications 2008: 19 publications 2009: 33 publications 2010: 50 publications 2011: 44 publications 2012: 39 publications 2013: 31 publications 2014: 23 publications 2015: 40 publications 2016: 36 publications 2017: 33 publications 2018: 34 publications 2019: 36 publications 2020: 24 publications 2021: 46 publications 2022: 42 publications 2023: 48 publications 2024: 51 publications 2025: 31 publications
1996 2025

773 publications in total across all disciplines

View publications per year as a table
Alejandro F. Frangi: publications per year, 1996 to 2025
Year Publications
1996 2
1997 1
1998 1
1999 3
2000 3
2001 7
2002 8
2003 13
2004 9
2005 26
2006 15
2007 25
2008 19
2009 33
2010 50
2011 44
2012 39
2013 31
2014 23
2015 40
2016 36
2017 33
2018 34
2019 36
2020 24
2021 46
2022 42
2023 48
2024 51
2025 31
Total 773
Download as CSV

Alejandro F. Frangi 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 Alejandro F. Frangi 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, 562–571 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: 568 publications — 95th percentile

95% 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
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 28 568
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

Alejandro F. Frangi 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 Alejandro F. Frangi 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, 72–73 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: 72 D-Index — 89th percentile

89% 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 72
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

Research.com Recognitions

  • 2021 - IEEE EMBS Technical Achievement Award For pioneering contributions in model-based image computing and image-based computational modelling in medicine with clinical and innovation impact
  • 2021 - MICCAI Fellow For outstanding contributions to computational medical imaging
  • 2021 - MICCAI Fellow For outstanding contributions to computational medical imaging
  • 2021 - IEEE EMBS Technical Achievement Award For pioneering contributions in model-based image computing and image-based computational modelling in medicine with clinical and innovation impact
  • 2020 - SPIE Fellow
  • 2014 - IEEE Fellow For contributions to medical image analysis and image-based computational physiology
  • 2013 - EAMBES Fellow
  • 2013 - EAMBES Fellow
  • 2006 - IEEE EMBS Early Career Award for outstanding contributions to medical image computing, especially cardiovascular and cerebrovascular image analysis using model- and registration-based methods
  • 2006 - IEEE EMBS Early Career Award for outstanding contributions to medical image computing, especially cardiovascular and cerebrovascular image analysis using model- and registration-based methods
  • 2004 - Ramón y Cajal Research Fellowship
  • 2004 - Ramón y Cajal Research Fellowship

Overview

Alejandro F. Frangi is affiliated with the University of Manchester in the United Kingdom. Their research output spans multiple publications and contributions in the fields of Medicine and Computer Science, with significant focus on subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Cardiology and Cardiovascular Medicine.

The main topics explored in their work include Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, AI in cancer detection, Advanced MRI Techniques and Applications, Cardiac Imaging and Diagnostics, Advanced Neural Network Applications, and Retinal Imaging and Analysis.

Frequent coauthors of Alejandro F. Frangi include Nishant Ravikumar, Haoran Dou, Yan Xia, Dong Ni, and Baiying Lei.

Publications appear primarily in notable venues such as arXiv (Cornell University), Medical Image Analysis, IEEE Transactions on Medical Imaging, npj Digital Medicine, and Computers in Biology and Medicine.

Recent papers feature the following:

  • The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions (2020, Nature Communications)
  • CS 2-Net: Deep learning segmentation of curvilinear structures in medical imaging (2020, Medical Image Analysis)
  • Virtual clinical trials in medical imaging: a review (2020, Journal of Medical Imaging)
  • Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG (2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering)
  • FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2025, BMJ)

Alejandro F. Frangi has contributed to several books published by Springer Science+Business Media and the European Organization for Nuclear Research. Titles include Information Processing in Medical Imaging (2023), Medical Imaging and Computer-Aided Diagnosis (2023), Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) (2024), and Unlocking the power of computational modelling and simulation across the product lifecycle in life sciences: A UK Landscape Report (2023).

The scientist has been recognized with the SPIE Fellow award in 2020 and the IEEE Fellow award in 2014, the latter awarded for contributions to medical image analysis and image-based computational physiology.

Best Publications

  • Muliscale Vessel Enhancement Filtering

    Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever

  • Two-dimensional PCA: a new approach to appearance-based face representation and recognition

    Jian Yang;D. Zhang;A.F. Frangi;Jing-yu Yang

  • Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi

  • KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition

    Jian Yang;A.F. Frangi;Jing-Yu Yang;David Zhang

  • Three-dimensional modeling for functional analysis of cardiac images, a review

    A.F. Frangi;W.J. Niessen;M.A. Viergever

  • Active shape model segmentation with optimal features

    B. van Ginneken;A.F. Frangi;J.J. Staal;B.M. ter Haar Romeny

  • Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity

    J.R. Cebral;M.A. Castro;S. Appanaboyina;C.M. Putman

  • Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration

    D. Rueckert;A.F. Frangi;J.A. Schnabel

  • Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

    A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen

  • Model-based quantitation of 3-D magnetic resonance angiographic images

    A.F. Frangi;W.J. Niessen;R.M. Hoogeveen;T. van Walsum

  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging.

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

    Peng Peng;Karim Lekadir;Ali Gooya;Ling Shao

  • The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

    Javier Ortega-Garcia;Julian Fierrez;Fernando Alonso-Fernandez;Javier Galbally

  • SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data

    Hans C. van Assen;Mikhail G. Danilouchkine;Alejandro F. Frangi;Sebastián Ordás

  • CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

    Lei Mou;Yitian Zhao;Li Chen;Jun Cheng

  • Essence of kernel Fisher discriminant

    Jian Yang;Zhong Jin;Jing-yu Yang;David Zhang

  • Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration

    Daniel Rueckert;Alejandro F. Frangi;Alejandro F. Frangi;Julia A. Schnabel

  • Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

    Andres Diaz-Pinto;Adrian Colomer;Valery Naranjo;Sandra Morales

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Virtual clinical trials in medical imaging: a review

    Ehsan Abadi;William P. Segars;Benjamin M. W. Tsui;Paul E. Kinahan

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Bart Bijnens
Bart Bijnens University of Barcelona
Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen
Peter Hunter
Peter Hunter University of Auckland
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Max A. Viergever
Max A. Viergever Utrecht University
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Julia A. Schnabel
Julia A. Schnabel King's College London
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Steffen E. Petersen
Steffen E. Petersen Queen Mary University of London
Johan H. C. Reiber
Johan H. C. Reiber Leiden University Medical Center

External Links

Personal website of Alejandro F. Frangi Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Alejandro F. Frangi

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 143

Jian Yang

Jian Yang

University of Birmingham

Publications: 85

Wiro J. Niessen

Wiro J. Niessen

University Medical Center Groningen

Publications: 85

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 75

Maxime Sermesant

Maxime Sermesant

Université Côte d'Azur

Publications: 64

Jingyu Yang

Jingyu Yang

Nanjing University of Science and Technology

Publications: 58

Nicholas Ayache

Nicholas Ayache

French Institute for Research in Computer Science and Automation - INRIA

Publications: 54

Steffen E. Petersen

Steffen E. Petersen

Queen Mary University of London

Publications: 51

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 50

Hervé Delingette

Hervé Delingette

French Institute for Research in Computer Science and Automation - INRIA

Publications: 50

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 50

Yong Xu

Yong Xu

Harbin Institute of Technology

Publications: 48

Bernhard Preim

Bernhard Preim

Otto-von-Guericke University Magdeburg

Publications: 48

Wenjia Bai

Wenjia Bai

Imperial College London

Publications: 48

Shuo Li

Shuo Li

Case Western Reserve University

Publications: 45

Andreas Maier

Andreas Maier

University of Erlangen-Nuremberg

Publications: 43

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