World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12211
World Ranking
4312
National Ranking
264

Ioannis Brilakis publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ioannis Brilakis sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 251 publications — 63rd percentile

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

The last bar groups every scientist with 991 publications or more.

Ioannis Brilakis D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ioannis Brilakis sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ioannis Brilakis is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple fields within engineering, with a focus on areas that combine construction technologies and digital integration.

The main fields of study for Ioannis Brilakis include engineering, with significant contributions in the subfields of geology, civil and structural engineering, building and construction, environmental engineering, and industrial and manufacturing engineering.

The scientist's work covers several main topics of interest:

  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Infrastructure Maintenance and Monitoring
  • BIM and Construction Integration
  • 3D Shape Modeling and Analysis
  • 3D Modeling in Geospatial Applications
  • Digital Transformation in Industry

Frequent co-authors collaborating with Ioannis Brilakis include:

  • Varun Kumar Reja
  • Yuandong Pan
  • Diana Davletshina
  • Lavindra de Silva
  • Mengtian Yin

They have published extensively in various venues related to construction and automation technologies. The frequent publication venues are:

  • Computing in Construction
  • Automation in Construction
  • Proceedings of the ISARC
  • SSRN Electronic Journal
  • Apollo (University of Cambridge)

Recent papers authored by Ioannis Brilakis include:

  • Construction with digital twin information systems, 2020, Data-Centric Engineering
  • Digital technologies can enhance climate resilience of critical infrastructure, 2021, Climate Risk Management
  • Building Information Modelling, Artificial Intelligence and Construction Tech, 2020, Developments in the Built Environment
  • Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition, 2022, Automation in Construction
  • Vision-based excavator pose estimation using synthetically generated datasets with domain randomization, 2021, Automation in Construction

Best Publications

  • 3D Semantic Parsing of Large-Scale Indoor Spaces

    Iro Armeni;Ozan Sener;Amir R. Zamir;Helen Jiang

  • Pothole detection in asphalt pavement images

    Christian Koch;Ioannis Brilakis

  • Construction with digital twin information systems

    Rafael Sacks;Ioannis Brilakis;Ergo Pikas;Haiyan Sally Xie

  • State of research in automatic as-built modelling

    Viorica Patraucean;Iro Armeni;Mohammad Nahangi;Jamie Yeung

  • Construction worker detection in video frames for initializing vision trackers

    Man-Woo Park;Ioannis Brilakis

  • Automated vision tracking of project related entities

    Ioannis Brilakis;Man-Woo Park;Gauri Jog

  • Progressive 3D reconstruction of infrastructure with videogrammetry

    Ioannis Brilakis;Habib Fathi;Abbas Rashidi

  • Toward automated generation of parametric BIMs based on hybrid video and laser scanning data

    Ioannis Brilakis;Manolis Lourakis;Rafael Sacks;Silvio Savarese

  • Building Information Modelling, Artificial Intelligence and Construction Tech

    Rafael Sacks;Rafael Sacks;Mark Girolami;Ioannis Brilakis

  • Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation

    Zhenhua Zhu;Stephanie German;Ioannis Brilakis

  • Semantic Enrichment for Building Information Modeling

    Michael Belsky;Rafael Sacks;Ioannis Brilakis

  • Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

    Stephanie German;Ioannis Brilakis;Reginald Desroches

  • Digital twinning of existing reinforced concrete bridges from labelled point clusters

    Ruodan Lu;Ruodan Lu;Ioannis Brilakis

  • Automated Pothole Distress Assessment Using Asphalt Pavement Video Data

    Christian Koch;Gauri M. Jog;Ioannis Brilakis

  • Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure

    Fei Dai;Abbas Rashidi;Ioannis Brilakis;Patricio Vela

  • Framework of aftershock fragility assessment–case studies: older California reinforced concrete building frames

    Jong-Su Jeon;Reginald DesRoches;Laura N. Lowes;Ioannis Brilakis

  • SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition

    Rafael Sacks;Amir Kedar;André Borrmann;Ling Ma

  • Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures

    C. Koch;S. German Paal;A. Rashidi;Z. Zhu

  • Fragility curves for non-ductile reinforced concrete frames that exhibit different component response mechanisms

    Jong-Su Jeon;Laura N. Lowes;Reginald DesRoches;Ioannis Brilakis

  • Detection of Structural Components in Point Clouds of Existing RC Bridges

    Ruodan Lu;Ioannis K. Brilakis;Campbell R. Middleton

  • Comparative study of vision tracking methods for tracking of construction site resources

    Man-Woo Park;Atefe Makhmalbaf;Ioannis Brilakis

  • Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System

    Man-Woo Park;Christian Koch;Ioannis Brilakis

Frequent Co-Authors

Patricio A. Vela
Patricio A. Vela Georgia Institute of Technology
Reginald DesRoches
Reginald DesRoches Rice University
Lucio Soibelman
Lucio Soibelman University of Southern California
Rafael Sacks
Rafael Sacks Technion – Israel Institute of Technology
Laura N. Lowes
Laura N. Lowes University of Washington
Jong-Su Jeon
Jong-Su Jeon Hanyang University
Burcin Becerik-Gerber
Burcin Becerik-Gerber University of Southern California
Carl T. Haas
Carl T. Haas University of Waterloo
Burcu Akinci
Burcu Akinci Carnegie Mellon University
Silvio Savarese
Silvio Savarese Stanford University

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options in computer science opens up a range of possibilities for different career goals and academic backgrounds. For those starting out, some of the best associates degrees to get offer foundational knowledge and skills, making them a great entry point into tech fields.

If you are considering advanced study, there are cheapest accredited online doctoral programs that are both reputable and budget-friendly for those aiming to reach leadership or research roles.

Choosing the right school is crucial. Many of the best online schools offer flexible, high-quality programs recognized by employers and academic institutions alike.

If your interests lean toward interactive media, pursuing a video game design degree is an exciting pathway. These specialized programs focus on both technical skills and creative development opportunities in a booming industry.

Best Scientists Citing Ioannis Brilakis

Trending Scientists

Recently Published Articles