World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5189
World Ranking
8120
National Ranking
510

Vasilis Sarhosis 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 Vasilis Sarhosis 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Vasilis Sarhosis 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 Vasilis Sarhosis 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: 38 D-Index — 20th percentile

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

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

Overview

Vasilis Sarhosis is affiliated with the University of Leeds in the United Kingdom, focusing on research within engineering and earth and planetary sciences. Their work mainly addresses civil and structural engineering, building and construction, earth-surface processes, geology, and mechanics of materials.

Their research spans several topics, including:

  • Masonry and concrete structural analysis
  • Building materials and conservation
  • Structural health monitoring techniques
  • 3D surveying and cultural heritage
  • Seismic performance and analysis
  • Infrastructure maintenance and monitoring
  • Structural behavior of reinforced concrete

Sarhosis has published extensively, with notable papers such as:

  • "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" (2021, Automation in Construction)
  • "Automatic image-based brick segmentation and crack detection of masonry walls using machine learning" (2022, Automation in Construction)
  • "Discontinuous approaches for nonlinear dynamic analyses of an ancient masonry tower" (2021, Engineering Structures)
  • "Destructive M6.2 Petrinja Earthquake (Croatia) in 2020-Preliminary Multidisciplinary Research" (2021, Remote Sensing)
  • "From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems" (2023, Mechanical Systems and Signal Processing)

Frequent co-authors contributing to Sarhosis's research include Gabriele Milani, Anastasios Drougkas, Bowen Liu, İhsan Engin Bal, and Dimitrios Loverdos, indicating collaborative work across multiple studies.

Sarhosis's work appears regularly in several publication venues, with multiple contributions to:

  • Engineering Structures
  • Structures
  • Automation in Construction
  • Bulletin of Earthquake Engineering
  • Construction and Building Materials

In addition to journal articles, Sarhosis has contributed to book publications, including a title published by Springer International Publishing titled "From Corbel Arches to Double Curvature Vaults" in 2022.

Best Publications

  • Modeling Strategies for the Computational Analysis of Unreinforced Masonry Structures: Review and Classification

    Antonio Maria D’Altri;Vasilis Sarhosis;Gabriele Milani;Jan Rots

  • Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

    Unknown

  • Discrete element modelling of the in-plane and out-of-plane behaviour of dry-joint masonry wall constructions

    T.T. Bui;A. Limam;V. Sarhosis;M. Hjiaj

  • A review of experimental investigations and assessment methods for masonry arch bridges

    Vasilis Sarhosis;Stefano De Santis;Gianmarco de Felice

  • A 3D detailed micro-model for the in-plane and out-of-plane numerical analysis of masonry panels

    Antonio Maria D'Altri;Stefano de Miranda;Giovanni Castellazzi;Vasilis Sarhosis

  • A macro-modelling approach for the analysis of infilled frame structures considering the effects of openings and vertical loads

    Panagiotis G. Asteris;Liborio Cavaleri;Fabio Di Trapani;Vasilis Sarhosis

  • Evaluation of different computational modelling strategies for the analysis of low strength masonry structures

    V. Giamundo;V. Giamundo;Vasilis Sarhosis;Vasilis Sarhosis;G. P. Lignola;Y. Sheng

  • Automatic image-based brick segmentation and crack detection of masonry walls using machine learning

    Unknown

  • Evaluation of different approaches for the estimation of the seismic vulnerability of masonry towers

    Sarhosis;G Milani;A Formisano;F Fabbrocino

  • A detailed micro-modelling approach for the structural analysis of masonry assemblages

    V. Sarhosis;J.V. Lemos

  • Identification of material parameters for low bond strength masonry

    Vasilis Sarhosis;Y. Sheng

  • Influence of brick–mortar interface on the mechanical behaviour of low bond strength masonry brickwork lintels

    Vasilis Sarhosis;Vasilis Sarhosis;S. W. Garrity;Y. Sheng

  • Discontinuous approaches for nonlinear dynamic analyses of an ancient masonry tower

    Angela Ferrante;Dimitri Loverdos;Francesco Clementi;Gabriele Milani

  • Strengthening/retrofitting techniques on unreinforced masonry structure/element subjected to seismic loads: A literature review

    Chuanlin Wang;Vasilis Sarhosis;Nikolaos Nikitas

  • The effect of skew angle on the mechanical behaviour of masonry arches

    Vasilis Sarhosis;Daniel V. Oliveira;José V. Lemos;Paulo B. Lourenço

  • Numerical Modeling of Historic Masonry Structures

    Panagiotis G. Asteris;Vasilis Sarhosis;Amin Mohebkhah;Vagelis Plevris

  • Minimum thickness of semi-circular skewed masonry arches

    Tamás Forgács;Vasilis Sarhosis;Katalin Bagi

  • Destructive M6.2 Petrinja Earthquake (Croatia) in 2020—Preliminary Multidisciplinary Research

    Snježana Markušić;Davor Stanko;Davorin Penava;Ines Ivančić

  • A discrete approach for modelling backfill material in masonry arch bridges

    Vasilis Sarhosis;Tamás Forgács;Jose V. Lemos

  • From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems

    Unknown

  • A review of experimental and analytical studies on the out-of-plane behaviour of masonry infilled frames

    Filip Anić;Davorin Penava;Lars Abrahamczyk;Vasilis Sarhosis

  • Computational Modeling of Masonry Structures Using the Discrete Element Method

    Vasilis Sarhosis;Katalin Bagi;Jos V. Lemos;Gabriele Milani

  • Influence of construction method on the load bearing capacity of skew masonry arches

    Tamás Forgács;Vasilis Sarhosis;Katalin Bagi

  • Influence of column shear failure on pushover based assessment of masonry infilled reinforced concrete framed structures: A case study

    Liborio Cavaleri;Fabio Di Trapani;Panagiotis G. Asteris;Vasilis Sarhosis

Frequent Co-Authors

Gabriele Milani
Gabriele Milani Polytechnic University of Milan
Panagiotis G. Asteris
Panagiotis G. Asteris School of Pedagogical and Technological Education
Paulo B. Lourenço
Paulo B. Lourenço University of Minho
Gian Piero Lignola
Gian Piero Lignola University of Naples Federico II
Daniel V. Oliveira
Daniel V. Oliveira University of Minho
Antonio Tralli
Antonio Tralli University of Ferrara
Serena Cattari
Serena Cattari University of Genoa
Gaetano Manfredi
Gaetano Manfredi University of Naples Federico II
Sergio Lagomarsino
Sergio Lagomarsino University of Genoa
Elio Sacco
Elio Sacco University of Naples Federico II

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