World's Best Scientists 2026 revealed!
Julia Armesto

Julia Armesto

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
3398
World Ranking
9480
National Ranking
224

Julia Armesto 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 Julia Armesto sits on this spectrum.

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 publications 804+

This scientist: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Julia Armesto 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 Julia Armesto sits on this spectrum.

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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Julia Armesto is affiliated with the Universidade de Vigo in Spain. Their research primarily spans the field of Environmental Science, with a focus on Environmental Engineering, Global and Planetary Change, and Ecology.

Their work covers several key topics including:

  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Forest Ecology and Biodiversity Studies
  • Land Use and Ecosystem Services
  • Forest ecology and management
  • Forest Insect Ecology and Management

Frequent publication venues for Armesto's research include:

  • Remote Sensing
  • Forests
  • Geocarto International
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Trees

Their recent papers reflect research related to tree detection, forest monitoring, and remote sensing technologies. Selected recent papers include:

  • Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR, 2020, Remote Sensing
  • Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal Sentinel-2 Imagery and RF Models, 2021, Remote Sensing
  • Automatic tree detection and attribute characterization using portable terrestrial lidar, 2023, Trees
  • Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map, 2023, International Journal of Applied Earth Observation and Geoinformation
  • Automatic differentiation of Eucalyptus species through Sentinel-2 images, Worldview-3 images and LiDAR data, 2023, ISPRS Journal of Photogrammetry and Remote Sensing

Armesto has collaborated frequently with several co-authors, including:

  • Juan Picos
  • Laura Alonso
  • Ana Solares-Canal
  • Thais Rincón
  • Guillermo Bastos

Best Publications

  • Historic bridge modelling using laser scanning, ground penetrating radar and finite element methods in the context of structural dynamics

    Izabela Lubowiecka;Julia Armesto;Pedro Arias;Henrique Lorenzo

  • Low-cost aerial unit for outdoor inspection of building façades

    D. Roca;S. Lagüela;L. Díaz-Vilariño;J. Armesto

  • Automatic thermographic and RGB texture of as-built BIM for energy rehabilitation purposes

    S. Lagüela;L. Díaz-Vilariño;J. Martínez;J. Armesto

  • Digital photogrammetry, GPR and computational analysis of structural damages in a mediaeval bridge

    P. Arias;J. Armesto;D. Di-Capua;R. González-Drigo

  • Automatic dendrometry: Tree detection, tree height and diameter estimation using terrestrial laser scanning

    Carlos Cabo;Celestino Ordóñez;Carlos A. López-Sánchez;Julia Armesto

  • Modelling masonry arches shape using terrestrial laser scanning data and nonparametric methods

    J. Armesto;Javier Roca-Pardiñas;H. Lorenzo;P. Arias

  • Terrestrial laser scanning used to determine the geometry of a granite boulder for stability analysis purposes

    J. Armesto;C. Ordóñez;L. Alejano;P. Arias

  • Nano-Inclusions Applied in Cement-Matrix Composites: A Review

    Guillermo Bastos;Faustino Patiño-Barbeito;Faustino Patiño-Cambeiro;Julia Armesto

  • Energy efficiency studies through 3D laser scanning and thermographic technologies

    S. Lagüela;J. Martínez;J. Armesto;P. Arias

  • Calibration and verification of thermographic cameras for geometric measurements

    S. Lagüela;H. González-Jorge;J. Armesto;P. Arias

  • FEM modeling of structures based on close range digital photogrammetry

    Julia Armesto;Izabela Lubowiecka;Celestino Ordóñez;Fernando I. Rial

  • Automation of thermographic 3D modelling through image fusion and image matching techniques

    S. Lagüela;J. Armesto;P. Arias;J. Herráez

  • Novel approach to 3D thermography and energy efficiency evaluation

    D. González-Aguilera;P. Rodriguez-Gonzalvez;J. Armesto;S. Lagüela

  • Low-cost documentation of traditional agro-industrial buildings by close-range photogrammetry

    P. Arias;C. Ordóñez;H. Lorenzo;J. Herraez

  • Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR

    Juan Picos;Guillermo Bastos;Daniel Míguez;Laura Alonso

  • Non-destructive approach for the generation and thermal characterization of an as-built BIM

    S. Lagüela;L. Díaz-Vilariño;J. Armesto;P. Arias

  • Measuring building façades with a low-cost close-range photogrammetry system

    Celestino Ordóñez;Joaquín Martínez;Pedro Arias;Julia Armesto

  • Standard artifact for the geometric verification of terrestrial laser scanning systems

    H. González-Jorge;B. Riveiro;J. Armesto;P. Arias

  • Error analysis of terrestrial laser scanning data by means of spherical statistics and 3D graphs.

    Aurora Cuartero;Julia Armesto;Pablo García Rodríguez;Pedro Arias

  • From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction

    J. Roca-Pardiñas;H. Lorenzo;P. Arias;J. Armesto

  • Forestry applications of ground-penetrating radar

    H. Lorenzo;V. Pérez-Gracia;A. Novo;J. Armesto

  • 3D modeling and section properties of ancient irregular timber structures by means of digital photogrammetry

    Pedro Arias;J. Carlos Caamaño;Henrique Lorenzo;Julia Armesto

  • Automation of Thermographic 3D Modelling through Image Fusion and Image Matching Techniques

    S. Laguela;J. Armesto;H. Gonzalez-Jorge;P. Arias

Frequent Co-Authors

Pedro Arias
Pedro Arias Universidade de Vigo
Henrique Lorenzo
Henrique Lorenzo Universidade de Vigo
Belén Riveiro
Belén Riveiro Universidade de Vigo
Diego González-Aguilera
Diego González-Aguilera University of Salamanca
Leandro R. Alejano
Leandro R. Alejano Universidade de Vigo
Maria Varela
Maria Varela Complutense University of Madrid
Jacobo Porteiro
Jacobo Porteiro Universidade de Vigo
Avideh Zakhor
Avideh Zakhor University of California, Berkeley
Kourosh Khoshelham
Kourosh Khoshelham University of Melbourne

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