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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 48 4607 4433 102 100 294 8330

Elías Cueto publications per year

The chart shows the history of publications by Elías Cueto between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Elías Cueto published across 56 years, from 1970 to 2025, averaging 6.8 papers a year. Output peaked at 46 publications in 2025. 62 of the 381 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2025. 1970: 2 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 2 publications 2001: 1 publication 2002: 2 publications 2003: 3 publications 2004: 6 publications 2005: 5 publications 2006: 9 publications 2007: 17 publications 2008: 15 publications 2009: 15 publications 2010: 12 publications 2011: 22 publications 2012: 14 publications 2013: 14 publications 2014: 23 publications 2015: 23 publications 2016: 16 publications 2017: 8 publications 2018: 23 publications 2019: 17 publications 2020: 15 publications 2021: 24 publications 2022: 15 publications 2023: 15 publications 2024: 16 publications 2025: 46 publications
1970 2025

381 publications in total across all disciplines

View publications per year as a table
Elías Cueto: publications per year, 1970 to 2025
Year Publications
1970 2
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 1
1996 0
1997 0
1998 0
1999 0
2000 2
2001 1
2002 2
2003 3
2004 6
2005 5
2006 9
2007 17
2008 15
2009 15
2010 12
2011 22
2012 14
2013 14
2014 23
2015 23
2016 16
2017 8
2018 23
2019 17
2020 15
2021 24
2022 15
2023 15
2024 16
2025 46
Total 381
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Elías Cueto 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 Elías Cueto 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, 288–297 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: 294 publications — 75th percentile

75% 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
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203 294
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
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Elías Cueto 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 Elías Cueto 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, 48 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: 48 D-Index — 55th percentile

55% 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
47 306
48 271 48
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
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Overview

Elías Cueto is affiliated with the University of Zaragoza in Spain and has contributed extensively to research in engineering, computer science, and physics and astronomy. Their scholarly work spans multiple subfields, including statistical and nonlinear physics, artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, and statistics, probability, and uncertainty.

Their research focuses on several main topics: model reduction and neural networks, probabilistic and robust engineering design, neural networks and applications, real-time simulation and control systems, machine learning in materials science, modeling and simulation systems, and advanced thermodynamics and statistical mechanics.

Elías Cueto has published papers in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Jornadas de jóvenes investigadores del I3A
  • Computer Methods in Applied Mechanics and Engineering
  • Advanced Modeling and Simulation in Engineering Sciences
  • Computational Mechanics

Among their recent papers are:

  • Deep learning of thermodynamics-aware reduced-order models from data (2021), published in Computer Methods in Applied Mechanics and Engineering
  • From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin (2020), published in Archives of Computational Methods in Engineering
  • Structure-preserving neural networks (2020), published in Journal of Computational Physics
  • Digital twins that learn and correct themselves (2020), published in International Journal for Numerical Methods in Engineering
  • Thermodynamics-Informed Graph Neural Networks (2022), published in IEEE Transactions on Artificial Intelligence

Frequent coauthors who have collaborated with Elías Cueto include:

  • Francisco Chinesta
  • David González
  • Icíar Alfaro
  • Victor Champaney
  • Chady Ghnatios

The scientist has contributed to the publishing of at least one book through Springer International Publishing, titled A Gentle Introduction to Data, Learning, and Model Order Reduction, which is expected in 2025.

Best Publications

  • A Short Review on Model Order Reduction Based on Proper Generalized Decomposition

    Francisco Chinesta;Pierre Ladeveze;Elías Cueto

  • Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models

    Francisco Chinesta;Amine Ammar;Elías Cueto

  • PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

    Francisco Chinesta;Adrien Leygue;Felipe Bordeu;Jose Vicente Aguado

  • Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

    Francisco Chinesta;Elías G. Cueto;Emmanuelle Abisset-Chavanne;Jean Louis Duval

  • A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

    Rubén Ibañez;Emmanuelle Abisset-Chavanne;Jose Vicente Aguado;David Gonzalez

  • Overview and recent advances in natural neighbour galerkin methods

    E. Cueto;N. Sukumar;B. Calvo;M. A. Martínez

  • On the "a priori" model reduction: overview and recent developments

    David Ryckelynck;Francisco Chinesta;Elías Cueto;Amine Ammar

  • Recent advances on the use of separated representations

    David González;Amine Ammar;Francisco Chinesta;Elías Cueto

  • Real-time deformable models of non-linear tissues by model reduction techniques

    S. Niroomandi;I. Alfaro;E. Cueto;F. Chinesta

  • Data-driven non-linear elasticity: constitutive manifold construction and problem discretization

    Ruben Ibañez;Domenico Borzacchiello;Jose Vicente Aguado;Emmanuelle Abisset-Chavanne

  • Imposing essential boundary conditions in the natural element method by means of density-scaled?-shapes

    E. Cueto;M. Doblaré;L. Gracia

  • Proper Generalized Decomposition based dynamic data-driven control of thermal processes ☆

    Chady Ghnatios;Françoise Masson;Antonio Huerta;Adrien Leygue

  • Proper generalized decomposition of time-multiscale models

    Amine Ammar;Francisco Chinesta;Elías Cueto;Manuel Doblaré

  • Real-time simulation of biological soft tissues: a PGD approach

    S. Niroomandi;D. González;I. Alfaro;F. Bordeu

  • Parametric solutions involving geometry: A step towards efficient shape optimization

    Amine Ammar;Antonio Huerta;Antonio Huerta;Francisco Chinesta;Elías Cueto

  • On the employ of meshless methods in biomechanics

    M. Doblaré;E. Cueto;B. Calvo;M.A. Martínez

  • Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models

    S. Niroomandi;I. Alfaro;E. Cueto;F. Chinesta

  • Thermodynamically consistent data-driven computational mechanics

    David González;Francisco Chinesta;Elías Cueto

  • Model order reduction for hyperelastic materials

    Siamak Niroomandi;Icíar Alfaro;Elías Cueto;Francisco Chinesta

  • Non incremental strategies based on separated representations: applications in computational rheology

    Amine Ammar;M. Normandin;F. Daim;D. Gonzalez

Frequent Co-Authors

Manuel Doblaré
Manuel Doblaré University of Zaragoza
Antonio Huerta
Antonio Huerta Universitat Politècnica de Catalunya
Luigino Filice
Luigino Filice University of Calabria
Julien Yvonnet
Julien Yvonnet Gustave Eiffel University
Roland Keunings
Roland Keunings Université Catholique de Louvain
Miguel Ángel Martínez
Miguel Ángel Martínez University of Zaragoza
Malcolm R. Mackley
Malcolm R. Mackley University of Cambridge
Begoña Calvo
Begoña Calvo University of Zaragoza
Jean-Michel Bergheau
Jean-Michel Bergheau École Nationale d'Ingénieurs de Saint-Étienne

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