World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6766
World Ranking
6592
National Ranking
1807

F. Necati Catbas 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 F. Necati Catbas 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: 180 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

F. Necati Catbas 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 F. Necati Catbas 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

F. Necati Catbas is affiliated with the University of Central Florida in the United States and specializes in engineering, with a focus on civil and structural engineering. Their research extensively covers topics related to infrastructure maintenance and monitoring, structural health monitoring techniques, and concrete corrosion and durability. Additional areas of study include 3D surveying and cultural heritage, geophysical methods and applications, structural engineering and vibration analysis, as well as non-destructive testing techniques.

Catbas has contributed to a number of recent publications in various reputable venues. These include:

  • "A review of computer vision-based structural health monitoring at local and global levels" (2020), published in Structural Health Monitoring
  • "Swaying displacement measurement for structural monitoring using computer vision and an unmanned aerial vehicle" (2020), published in Measurement
  • "Attention-guided analysis of infrastructure damage with semi-supervised deep learning" (2021), published in Automation in Construction
  • "Generative adversarial networks for labeled acceleration data augmentation for structural damage detection" (2022), published in Journal of Civil Structural Health Monitoring
  • "CycleGAN for undamaged-to-damaged domain translation for structural health monitoring and damage detection" (2023), published in Mechanical Systems and Signal Processing

The frequent coauthors collaborating with Catbas include Furkan Luleci, Onur Avcı, Chuan-Zhi Dong, Selçuk Baş, and Enes Karaaslan.

Catbas has published repeatedly in several scientific venues, such as:

  • arXiv (Cornell University)
  • Frontiers in Built Environment
  • Sensors
  • Automation in Construction
  • Journal of Civil Structural Health Monitoring

The research profile of Catbas reflects a comprehensive engagement in engineering disciplines, particularly focusing on the integration of computer vision, deep learning, and data augmentation techniques for structural health monitoring and damage detection.

Best Publications

  • A review of computer vision–based structural health monitoring at local and global levels:

    Chuan-Zhi Dong;F Necati Catbas

  • Structural Health Monitoring and Reliability Estimation: Long Span Truss Bridge Application With Environmental Monitoring Data

    F. Necati Catbas;Melih Susoy;Dan M. Frangopol

  • Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications

    Mustafa Gul;F. Necati Catbas

  • CONDITION AND DAMAGE ASSESSMENT: ISSUES AND SOME PROMISING INDICES

    F. Necati Catbas;A. Emin Aktan

  • Completely contactless structural health monitoring of real‐life structures using cameras and computer vision

    Tung Khuc;F. Necati Catbas

  • Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering

    Mustafa Gul;F. Necati Catbas

  • Computer vision-based displacement and vibration monitoring without using physical target on structures

    Tung Khuc;F. Necati Catbas

  • Parameter Estimation for Multiple-Input Multiple-Output Modal Analysis of Large Structures

    F. Necati Catbas;David L. Brown;A. Emin Aktan

  • Use of Modal Flexibility for Damage Detection and Condition Assessment: Case Studies and Demonstrations on Large Structures

    F. Necati Catbas;F. Necati Catbas;F. Necati Catbas;David L. Brown;David L. Brown;David L. Brown;A. Emin Aktan;A. Emin Aktan;A. Emin Aktan

  • Structural displacement monitoring using deep learning-based full field optical flow methods

    Chuan Zhi Dong;Ozan Celik;F. Necati Catbas;Eugene J. O’Brien

  • Structural identification of constructed systems : approaches, methods, and technologies for effective practice of St-Id

    F. Necati Çatbaş;Tracy Kijewski-Correa;A. Emin Aktan

  • Marker-free monitoring of the grandstand structures and modal identification using computer vision methods:

    Chuan-Zhi Dong;Ozan Celik;F Necati Catbas

  • Ambient Vibration Data Analysis for Structural Identification and Global Condition Assessment

    Mustafa Gul;F. Necati Catbas

  • Automated finite element model updating of a scale bridge model using measured static and modal test data

    Masoud Sanayei;Ali Khaloo;Mustafa Gul;F. Necati Catbas

  • Practical identification of favorable time windows for infrared thermography for concrete bridge evaluation

    Azusa Watase;Recep Birgul;Recep Birgul;Shuhei Hiasa;Masato Matsumoto

  • Conceptual damage-sensitive features for structural health monitoring: Laboratory and field demonstrations

    F. Necati Catbas;Mustafa Gul;Jason L. Burkett

  • Damage Assessment with Ambient Vibration Data Using a Novel Time Series Analysis Methodology

    Mustafa Gul;F. Necati Catbas

  • Structural health monitoring using video stream, influence lines, and statistical analysis:

    Ricardo Zaurin;F. Necati Catbas

  • Structural Identification Using Computer Vision–Based Bridge Health Monitoring

    Tung Khuc;F. Necati Catbas

  • Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies:

    F Necati Catbas;Hasan B Gokce;Mustafa Gul

  • Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating

    F. Necati Catbas;Ricardo Zaurin;Mustafa Gul;Hasan Burak Gokce

  • Attention-guided analysis of infrastructure damage with semi-supervised deep learning

    Enes Karaaslan;Ulas Bagci;F. Necati Catbas

Frequent Co-Authors

Dan M. Frangopol
Dan M. Frangopol Lehigh University
Eugene J. O'Brien
Eugene J. O'Brien University College Dublin
Ulas Bagci
Ulas Bagci Northwestern University
Naim Kapucu
Naim Kapucu University of Central Florida

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