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Engineering and Technology
Chile
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 46 5300 5107 3 3 244 6172

Claudia Prieto publications per year

The chart shows the history of publications by Claudia Prieto between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Claudia Prieto published across 27 years, from 1999 to 2025, averaging 15.8 papers a year. Output peaked at 98 publications in 2024. 170 of the 427 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 98. Peak 98 publications in 2024. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 2 publications 2008: 2 publications 2009: 2 publications 2010: 8 publications 2011: 6 publications 2012: 6 publications 2013: 8 publications 2014: 14 publications 2015: 6 publications 2016: 12 publications 2017: 17 publications 2018: 18 publications 2019: 32 publications 2020: 33 publications 2021: 33 publications 2022: 30 publications 2023: 24 publications 2024: 98 publications 2025: 72 publications
1999 2025

427 publications in total across all disciplines

View publications per year as a table
Claudia Prieto: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 1
2004 0
2005 1
2006 1
2007 2
2008 2
2009 2
2010 8
2011 6
2012 6
2013 8
2014 14
2015 6
2016 12
2017 17
2018 18
2019 32
2020 33
2021 33
2022 30
2023 24
2024 98
2025 72
Total 427
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Claudia Prieto publications per year - data summary

  • Claudia Prieto, a Engineering and Technology scholar from Pontificia Universidad Católica de Chile, has 427 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2024, with 98 publications.
  • The least productive years with any output are 1999, 2003, 2005 and 2006, with 1 publication each.
  • 4 of the 27 years in the span carry no publications at all (2000, 2001, 2002 and 2004).
  • The rate of publication averages 15.8 papers per year over the whole span, or 18.6 per year counting only the 23 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 257 publications, 60% of the career total.
  • Split into equal eras - 1999-2007: 6 publications (0.7 per year); 2008-2016: 64 publications (7.1 per year); 2017-2025: 357 publications (39.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Claudia Prieto publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Claudia Prieto sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 238–247 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 244 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260 244
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Claudia Prieto publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Claudia Prieto, a Engineering and Technology scholar from Pontificia Universidad Católica de Chile, records 244 publications - the 63rd percentile of the discipline.
  • 63% of ranked Engineering and Technology scientists score the same or lower than Claudia Prieto, and about 37% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Claudia Prieto ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 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 804 publications or more, 100 scientists in all (1% of the field).

Claudia Prieto D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Claudia Prieto sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 46 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301 46
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Claudia Prieto D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Claudia Prieto, a Engineering and Technology scholar from Pontificia Universidad Católica de Chile, records 46 D-Index - the 49th percentile of the discipline.
  • 49% of ranked Engineering and Technology scientists score the same or lower than Claudia Prieto, and about 51% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Claudia Prieto ranks below the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 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 107 D-Index or more, 99 scientists in all (1% of the field).

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Chile Leader Award
  • 2025 - Research.com Engineering and Technology in Chile Leader Award

Overview

Claudia Prieto is affiliated with the Pontificia Universidad Católica de Chile in Chile. Their research primarily focuses on the field of Medicine, with a substantial number of publications in subfields such as Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Atomic and Molecular Physics, and Optics, as well as Pulmonary and Respiratory Medicine.

Their work covers a variety of specialized topics including:

  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Atomic and Subatomic Physics Research
  • Cardiovascular Function and Risk Factors
  • Cardiac Valve Diseases and Treatments

Prieto has contributed to several research papers notable for their focus on medical imaging and cardiovascular diagnostics. Key recent publications include:

  • "CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions" (2020), published in Scientific Reports
  • "From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction" (2020), published in Frontiers in Cardiovascular Medicine
  • "Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T1, T2, T2*, and fat fraction mapping" (2020), published in Magnetic Resonance in Medicine
  • "Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute" (2021), published in Magnetic Resonance in Medicine
  • "A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images" (2022), published in ACM Computing Surveys

Their frequent co-authors include René M. Botnar, Karl Kunze, Radhouène Neji, Gastão Cruz, and Anastasia Fotaki. These collaborations suggest a multidisciplinary approach to imaging and cardiovascular research.

Prieto's research is disseminated across a variety of venues, reflecting engagement with both clinical and technical aspects of medical imaging. These publication venues include:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Journal of Cardiovascular Magnetic Resonance
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • Frontiers in Cardiovascular Medicine

Best Publications

  • CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

    Thomas Küstner;Niccolo Fuin;Kerstin Hammernik;Aurelien Bustin

  • Motion corrected compressed sensing for free-breathing dynamic cardiac MRI.

    Muhammad Usman;David Atkinson;Freddy Odille;Christoph Kolbitsch

  • Whole-heart coronary MR angiography with 2D self-navigated image reconstruction.

    Markus Henningsson;Peter Koken;Christian Stehning;Reza Razavi

  • Highly efficient respiratory motion compensated free‐breathing coronary mra using golden‐step Cartesian acquisition

    Claudia Prieto;Claudia Prieto;Mariya Doneva;Muhammad Usman;Markus Henningsson

  • From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.

    Aurélien Bustin;Niccolo Fuin;René M. Botnar;René M. Botnar;Claudia Prieto;Claudia Prieto

  • Highly efficient nonrigid motion corrected 3D whole-heart coronary vessel wall imaging

    Gastao Cruz;David Atkinson;Markus Henningsson;René Michael Botnar;René Michael Botnar

  • Characterization of Bordetella pertussis growing as biofilm by chemical analysis and FT-IR spectroscopy

    A. Bosch;D. Serra;C. Prieto;J. Schmitt

  • High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast MRI

    Aurélien Bustin;Gastão Lima da Cruz;Olivier Jaubert;Karina Lopez

  • Five-minute whole-heart coronary MRA with sub-millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D-PROST reconstruction.

    Aurélien Bustin;Giulia Ginami;Gastão Cruz;Teresa Correia

  • k-t Group sparse: a method for accelerating dynamic MRI.

    M. Usman;C. Prieto;T. Schaeffter;P. G. Batchelor

  • Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

    Ilkay Öksüz;Bram Ruijsink;Esther Puyol-Antón;James R. Clough

  • Accelerated motion corrected three‐dimensional abdominal MRI using total variation regularized SENSE reconstruction

    Gastao Cruz;David Atkinson;Christian Buerger;Tobias Schaeffter

  • Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

    Ilkay Oksuz;James R. Clough;Bram Ruijsink;Esther Puyol Anton

  • Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI

    C. Buerger;R. E. Clough;A. P. King;T. Schaeffter

  • 3D Undersampled Golden-Radial Phase Encoding for DCE-MRA Using Inherently Regularized Iterative SENSE

    Claudia Prieto;Sergio Uribe;Sergio Uribe;Reza Razavi;David Atkinson

  • Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T1 , T2 , T2 *, and fat fraction mapping.

    Olivier Jaubert;Cristobal Arrieta;Gastão Cruz;Aurélien Bustin

  • Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.

    Thomas Küstner;Camila Munoz;Alina Psenicny;Aurélien Bustin

  • 3D whole-heart isotropic sub-millimeter resolution coronary magnetic resonance angiography with non-rigid motion-compensated PROST.

    Aurélien Bustin;Imran Rashid;Gastao Cruz;Reza Hajhosseiny;Reza Hajhosseiny

  • Sparsity and locally low rank regularization for MR fingerprinting.

    Gastão Lima da Cruz;Aurélien Bustin;Oliver Jaubert;Torben Schneider

  • Whole-Heart Coronary MRA with 3D Affine Motion Correction Using 3D Image-Based Navigation

    Markus Henningsson;Claudia Prieto;Claudia Prieto;Amedeo Chiribiri;Ghislain Vaillant

  • Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory.

    M. Usman;M. Usman;B. Ruijsink;M.S. Nazir;G. Cruz

  • Model‐based reconstruction for cardiac cine MRI without ECG or breath holding

    Freddy Odille;Sergio Uribe;Philip G. Batchelor;Claudia Prieto

  • PET image reconstruction using multi-parametric anato-functional priors.

    Abolfazl Mehranian;Martin A Belzunce;Flavia Niccolini;Marios Politis

Frequent Co-Authors

René M. Botnar
René M. Botnar Pontificia Universidad Católica de Chile
David Atkinson
David Atkinson University of Liverpool
Andrew P. King
Andrew P. King King's College London
Andrew J. Reader
Andrew J. Reader King's College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Julia A. Schnabel
Julia A. Schnabel King's College London
Reza Razavi
Reza Razavi King's College London
Joseph V. Hajnal
Joseph V. Hajnal King's College London
Alexander Hammers
Alexander Hammers King's College London
David J. Young
David J. Young University of New South Wales

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