World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
5672
World Ranking
2385
National Ranking
860

Ertugrul Taciroglu 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 Ertugrul Taciroglu sits on this spectrum.

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 publications 659+

This scientist: 283 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Ertugrul Taciroglu 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 Ertugrul Taciroglu sits on this spectrum.

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: 37 D-Index — 32nd percentile

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

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

Overview

Ertugrul Taciroglu is affiliated with the University of California, Los Angeles in the United States. Their expertise lies primarily within the field of Engineering, with a strong focus on Civil and Structural Engineering. Taciroglu's research spans multiple subfields including Geophysics, Building and Construction, Artificial Intelligence, and Mechanics of Materials.

Their scholarly work covers various main topics within structural engineering and infrastructure, emphasizing seismic performance and analysis, structural health monitoring techniques, and infrastructure maintenance and monitoring. Other notable areas in their research include the structural behavior of reinforced concrete, geotechnical engineering and underground structures, seismic waves and analysis, as well as concrete corrosion and durability.

Taciroglu has contributed to numerous scientific publications over recent years. Some of the representative papers include:

  • Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls, 2021, Journal of Structural Engineering
  • Real-time regional seismic damage assessment framework based on long short-term memory neural network, 2020, Computer-Aided Civil and Infrastructure Engineering
  • A deep learning approach to rapid regional post-event seismic damage assessment using time-frequency distributions of ground motions, 2021, Earthquake Engineering & Structural Dynamics
  • Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application, 2020, Journal of Structural Engineering
  • Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management, 2020, Automation in Construction

The most frequent co-authors collaborating with Taciroglu include S. Farid Ghahari, Wenyang Zhang, Hamed Ebrahimian, De-Cheng Feng, and Barbaros Çetiner. These collaborators have jointly produced a considerable number of research works, reflecting ongoing partnerships in various projects.

Taciroglu has published extensively in several leading venues related to earthquake engineering, structural engineering, and civil infrastructure. The most common publication outlets are:

  • Earthquake Engineering & Structural Dynamics
  • Journal of Structural Engineering
  • Soil Dynamics and Earthquake Engineering
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Best Publications

  • Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls

    De-Cheng Feng;Wen-Jie Wang;Sujith Mangalathu;Ertugrul Taciroglu

  • An Assessment to Benchmark the Seismic Performance of a Code-Conforming Reinforced-Concrete Moment-Frame Building

    Curt B. Haselton;Christine A. Goulet;Judith Mitrani-Reiser;James L. Beck

  • Much ado about shear correction factors in Timoshenko beam theory

    S.B. Dong;C. Alpdogan;E. Taciroglu

  • Seismic behavior of reinforced concrete bridges with skew-angled seat-type abutments

    Peyman Kaviani;Farzin Zareian;Ertugrul Taciroglu

  • Validated Simulation Models for Lateral Response of Bridge Abutments with Typical Backfills

    Anoosh Shamsabadi;Payman Khalili-Tehrani;Jonathan P. Stewart;Ertugrul Taciroglu

  • Real‐time regional seismic damage assessment framework based on long short‐term memory neural network

    Yongjia Xu;Xinzheng Lu;Barbaros Cetiner;Ertugrul Taciroglu

  • A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions

    Xinzheng Lu;Yongjia Xu;Yuan Tian;Barbaros Cetiner

  • Response‐only modal identification of structures using strong motion data

    S. F. Ghahari;F. Abazarsa;M. A. Ghannad;E. Taciroglu

  • Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application

    De-Cheng Feng;Barbaros Cetiner;Mohammad Reza Azadi Kakavand;Ertugrul Taciroglu

  • Response-only modal identification of structures using limited sensors

    F. Abazarsa;S. F. Ghahari;F. Nateghi;E. Taciroglu

  • Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management

    Chaofeng Wang;Qian Yu;Qian Yu;Kincho H. Law;Frank McKenna

  • A Robust Macroelement Model for Soil–Pile Interaction Under Cyclic Loads

    Ertugrul Taciroglu;ChangSoon Rha;John W. Wallace

  • Parameter identification of framed structures using an improved finite element model‐updating method—Part I: formulation and verification

    Eunjong Yu;Ertugrul Taciroglu;John W. Wallace

  • ANALYSIS AND IMPLEMENTATION OF RESILIENT MODULUS MODELS FOR GRANULAR SOLIDS

    K. D. Hjelmstad;E. Taciroglu

  • Identification of a scatterer embedded in elastic heterogeneous media using dynamic XFEM

    J. Jung;C. Jeong;E. Taciroglu

  • Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting

    Unknown

  • An ABAQUS toolbox for soil-structure interaction analysis

    W. Zhang;E. Esmaeilzadeh Seylabi;E. Taciroglu

  • A generalized log-spiral-Rankine limit equilibrium model for seismic earth pressure analysis

    Anoosh Shamsabadi;Shi-Yu Xu;Ertugrul Taciroglu

  • Probabilistic models of abutment backfills for regional seismic assessment of highway bridges in California

    Yazhou Xie;Qiu Zheng;Chuang-Sheng Walter Yang;Wenyang Zhang

  • Bridge mode shape identification using moving vehicles at traffic speeds through non-parametric sparse matrix completion

    Qipei Mei;Nima Shirzad-Ghaleroudkhani;Mustafa Gül;S. Farid Ghahari

  • Efficient model updating of a multi-story frame and its foundation stiffness from earthquake records using a timoshenko beam model

    E. Taciroglu;S.F. Ghahari;F. Abazarsa

  • Blind modal identification of structures from spatially sparse seismic response signals

    S. F. Ghahari;F. Abazarsa;M. A. Ghannad;M. Çelebi

  • Ambient and Forced Vibration Testing of a Reinforced Concrete Building before and after Its Seismic Retrofitting

    Serdar Soyoz;Ertugrul Taciroglu;Kutay Orakcal;Robert Nigbor

  • On numerical computation of impedance functions, for rigid soil-structure interfaces embedded in heterogeneous half-spaces

    E. Esmaeilzadeh Seylabi;C. Jeong;E. Taciroglu

  • Effective Elastic Moduli of Core-Shell-Matrix Composites

    Benjamin A. Young;Amanda M.K. Fujii;Alexander M. Thiele;Aditya Kumar

  • Evaluation of active and passive seismic earth pressures considering internal friction and cohesion

    Shi-Yu Xu;Shi-Yu Xu;Anoosh Shamsabadi;Ertugrul Taciroglu

  • Full Scale Cyclic Testing of Foundation Support Systems for Highway Bridges: Part II: Abutment Backwalls

    Jonathan P Stewart;Ertugrul Taciroglu;John W Wallace

Frequent Co-Authors

John W. Wallace
John W. Wallace University of California, Los Angeles
Jonathan P. Stewart
Jonathan P. Stewart University of California, Los Angeles
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Kincho H. Law
Kincho H. Law Stanford University
Lucio Soibelman
Lucio Soibelman University of Southern California
David Thambiratnam
David Thambiratnam Queensland University of Technology
De-Cheng Feng
De-Cheng Feng Southeast University
Gregory G. Deierlein
Gregory G. Deierlein Stanford University
Tommy H.T. Chan
Tommy H.T. Chan Queensland University of Technology
Zhishen Wu
Zhishen Wu Southeast University

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