World's Best Scientists 2026 revealed!
Daniel Dias-da-Costa

Daniel Dias-da-Costa

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 34 2917 2740 101 98 128 3700

Daniel Dias-da-Costa publications per year

The chart shows the history of publications by Daniel Dias-da-Costa between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel Dias-da-Costa published across 19 years, from 2008 to 2026, averaging 8.5 papers a year. Output peaked at 14 publications in 2024. 12 of the 161 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2024. 2008: 1 publication 2009: 4 publications 2010: 5 publications 2011: 6 publications 2012: 12 publications 2013: 13 publications 2014: 11 publications 2015: 4 publications 2016: 5 publications 2017: 13 publications 2018: 8 publications 2019: 10 publications 2020: 9 publications 2021: 13 publications 2022: 10 publications 2023: 11 publications 2024: 14 publications 2025: 11 publications 2026: 1 publication
2008 2026

161 publications in total across all disciplines

View publications per year as a table
Daniel Dias-da-Costa: publications per year, 2008 to 2026
Year Publications
2008 1
2009 4
2010 5
2011 6
2012 12
2013 13
2014 11
2015 4
2016 5
2017 13
2018 8
2019 10
2020 9
2021 13
2022 10
2023 11
2024 14
2025 11
2026 1
Total 161
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Daniel Dias-da-Costa publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Daniel Dias-da-Costa sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 127–136 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 128 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130 128
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Daniel Dias-da-Costa D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Dias-da-Costa sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 34 D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 34 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189 34
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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Overview

Daniel Dias-da-Costa is affiliated with the University of Sydney in Australia and specializes in engineering research with a focus on civil and structural engineering. Their scholarly work encompasses multiple subfields, including building and construction, mechanics of materials, environmental engineering, and mechanical engineering.

The core topics of their research include:

  • Innovative concrete reinforcement materials
  • Numerical methods in engineering
  • Infrastructure maintenance and monitoring
  • Concrete corrosion and durability
  • Structural behavior of reinforced concrete
  • Rock mechanics and modeling
  • Innovations in concrete and construction materials

Recent publications by Daniel Dias-da-Costa demonstrate a consistent focus on construction materials and structural analysis. Notable papers include:

  • "Vision transformer-based autonomous crack detection on asphalt and concrete surfaces" (2022) published in Automation in Construction
  • "The role of particle morphology on concrete fracture behaviour: A meso-scale modelling approach" (2020) published in Cement and Concrete Research
  • "Self-healing behaviour of bio-concrete in submerged and tidal marine environments" (2021) published in Construction and Building Materials
  • "Data-driven multicollinearity-aware multi-objective optimisation of green concrete mixes" (2023) published in Journal of Cleaner Production
  • "A computational model for simulation of steel fibre reinforced concrete with explicit fibres and cracks" (2020) published in Computer Methods in Applied Mechanics and Engineering

Daniel Dias-da-Costa frequently collaborates with a group of recurring co-authors, including Luming Shen, Elyas Asadi Shamsabadi, Joaquim A. O. Barros, Muhammad Basit Ehsan Khan, and Gonzalo Ruiz.

Their work is regularly published in venues such as:

  • arXiv (Cornell University)
  • Construction and Building Materials
  • Computer Methods in Applied Mechanics and Engineering
  • Mechanical Systems and Signal Processing
  • Automation in Construction

Daniel Dias-da-Costa's research has contributed significantly to the field of engineering, particularly through the exploration of materials and methods that affect concrete's performance and behavior in various environments. They employ numerical and computational modeling approaches to address challenges related to concrete durability, reinforcement, and infrastructure maintenance.

Best Publications

  • Element-wise fracture algorithm based on rotation of edges

    P. Areias;T. Rabczuk;D. Dias-da-Costa

  • Effect of surface preparation and bonding agent on the concrete-to-concrete interface strength

    Dinis S. Santos;Pedro M.D. Santos;Daniel Dias-da-Costa

  • Automatic crack monitoring using photogrammetry and image processing

    J. Valença;D. Dias-da-Costa;E. Júlio;H. Araújo

  • A discrete strong discontinuity approach

    D. Dias-da-Costa;J. Alfaiate;L.J. Sluys;E. Júlio

  • Influence of fibres on the mechanical behaviour of fibre reinforced concrete matrixes

    T. Simões;H. Costa;H. Costa;D. Dias-da-Costa;D. Dias-da-Costa;E. Júlio

  • Influence of concrete strength and steel fibre geometry on the fibre/matrix interface

    T. Simões;C. Octávio;J. Valença;H. Costa;H. Costa

  • A comparative study on the modelling of discontinuous fracture by means of enriched nodal and element techniques and interface elements

    D. Dias-da-Costa;J. Alfaiate;L. J. Sluys;E. Júlio

  • Characterisation of concrete cracking during laboratorial tests using image processing

    J. Valença;D. Dias-da-Costa;E.N.B.S. Júlio

  • The role of particle morphology on concrete fracture behaviour: A meso-scale modelling approach

    Deheng Wei;Ryan C. Hurley;Leong Hien Poh;Daniel Dias-da-Costa

  • Towards a generalization of a discrete strong discontinuity approach

    D. Dias-da-Costa;J. Alfaiate;L.J. Sluys;E. Júlio

  • Structural assessment of the tower of the University of Coimbra by modal identification

    Eduardo Nuno Brito Santos Júlio;Carlos Alberto da Silva Rebelo;Daniel António Semblano Gouveia Dias-da-Costa

  • An embedded formulation with conforming finite elements to capture strong discontinuities

    D. Dias-da-Costa;J. Alfaiate;L.J. Sluys;P. Areias

  • Self-healing behaviour of bio-concrete in submerged and tidal marine environments

    Muhammad Basit Ehsan Khan;Luming Shen;Daniel Dias-da-Costa

  • Arbitrary bi-dimensional finite strain cohesive crack propagation

    P. Areias;D. Dias-da-Costa;J. Alfaiate;E. Júlio

  • 3D FEM analysis of the effect of buried phononic crystal barriers on vibration mitigation

    Carlos Albino;Luís Godinho;Paulo Amado-Mendes;Pedro Alves-Costa

  • A modified slant shear test designed to enforce adhesive failure

    Rui Saldanha;Eduardo Júlio;Daniel Dias-da-Costa;Pedro Santos

  • Comparison of Reynolds Averaging Navier-Stokes (RANS) turbulent models in predicting wind pressure on tall buildings

    D. Mohotti;K. Wijesooriya;D. Dias-da-Costa;D. Dias-da-Costa

  • A computational model for simulation of steel fibre reinforced concrete with explicit fibres and cracks

    Marcelo R. Carvalho;Joaquim A.O. Barros;Yuye Zhang;Daniel Dias-da-Costa

  • An FDEM study of particle breakage under rotational point loading

    Deheng Wei;Budi Zhao;Daniel Dias-da-Costa;Daniel Dias-da-Costa;Yixiang Gan

  • Influence of type and dosage of micro-fibres on the physical properties of fibre reinforced mortar matrixes

    T. Simões;H. Costa;H. Costa;D. Dias-da-Costa;D. Dias-da-Costa;E. Júlio

  • Accuracy of design code expressions for estimating longitudinal shear strength of strengthening concrete overlays

    E.N.B.S. Júlio;D. Dias-da-Costa;F.A.B. Branco;J.M.V. Alfaiate

  • A non-iterative approach for the modelling of quasi-brittle materials

    R. Graça-e-Costa;J. Alfaiate;D. Dias-da-Costa;L. J. Sluys

  • Element-wise algorithm for modeling ductile fracture with the Rousselier yield function

    P. Areias;D. Dias-Da-Costa;J. M. Sargado;T. Rabczuk

Frequent Co-Authors

Eduardo Júlio
Eduardo Júlio Instituto Superior Técnico
Pedro M. A. Areias
Pedro M. A. Areias Instituto Superior Técnico
Lambertus J. Sluys
Lambertus J. Sluys Delft University of Technology
Timon Rabczuk
Timon Rabczuk Bauhaus University, Weimar
Gianluca Ranzi
Gianluca Ranzi University of Sydney
Vinh Phu Nguyen
Vinh Phu Nguyen Monash University
Joaquim A. O. Barros
Joaquim A. O. Barros University of Minho
Gregory J. Hancock
Gregory J. Hancock University of Sydney
Giang D. Nguyen
Giang D. Nguyen University of Adelaide
Julie M. Cairney
Julie M. Cairney University of Sydney

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