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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
9588
World Ranking
1349
National Ranking
537

Khalid M. Mosalam 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 Khalid M. Mosalam 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: 213 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Khalid M. Mosalam 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 Khalid M. Mosalam 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: 47 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Khalid M. Mosalam is affiliated with the University of California, Berkeley in the United States. Their research spans multiple disciplines with a primary focus on engineering and computer science. Within these broad fields, their work is concentrated in subfields such as civil and structural engineering, artificial intelligence, building and construction, mechanical engineering, and computer vision and pattern recognition.

The main topics addressed in their research include structural health monitoring techniques, infrastructure maintenance and monitoring, concrete corrosion and durability, seismic performance and analysis, structural response to dynamic loads, structural behavior of reinforced concrete, and 3D surveying and cultural heritage.

Their recent published papers cover a variety of subjects and venues. Notable papers include:

  • Experimental investigation and numerical analysis of RC beams shear strengthened with FRP/ECC composite layer, 2020, Composite Structures
  • PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images, 2020, Journal of Structural Engineering
  • Balanced semisupervised generative adversarial network for damage assessment from low-data imbalanced-class regime, 2021, Computer-Aided Civil and Infrastructure Engineering
  • Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges, 2022, Computer-Aided Civil and Infrastructure Engineering
  • Shake table testing of a rocking podium: Results of a blind prediction contest, 2020, Earthquake Engineering & Structural Dynamics

Frequent co-authors who have collaborated with Mosalam include Yuqing Gao, Selim Günay, Mohammadreza Eslami, Tracy Kijewski-Correa, and David B. Roueche.

Their work is published in several recurring venues, prominently:

  • Computer-Aided Civil and Infrastructure Engineering
  • PEER
  • Engineering Structures
  • Journal of Building Engineering
  • Journal of Structural Engineering

Mosalam's publication record also includes a book published by Morgan & Claypool Publishers titled Artificial Intelligence in Vision-Based Structural Health Monitoring (2024).

Best Publications

  • Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations

    Paolo Gardoni;Armen Der Kiureghian;Khalid M. Mosalam

  • Deep Transfer Learning for Image-Based Structural Damage Recognition

    Yuqing Gao;Yuqing Gao;Khalid M. Mosalam;Khalid M. Mosalam

  • Performance of reinforced concrete buildings during the August 17, 1999 Kocaeli, Turkey earthquake, and seismic design and construction practise in Turkey

    H Sezen;A.S Whittaker;K.J Elwood;K.M Mosalam

  • PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

    Matias A. Hube;Khalid M. Mosalam

  • PROBABILISTIC SEISMIC DEMAND MODELS AND FRAGILITY ESTIMATES FOR RC BRIDGES

    Paolo Gardoni;Khalid M. Mosalam;Armen Der Kiureghian

  • PEER Performance-Based Earthquake Engineering Methodology, Revisited

    Selim Günay;Khalid M. Mosalam

  • Shake‐table experiment on reinforced concrete structure containing masonry infill wall

    Alidad Hashemi;Khalid M. Mosalam

  • Seismic demand sensitivity of reinforced concrete shear-wall building using FOSM method

    Tae-Hyung Lee;Khalid M. Mosalam

  • Strengthening of two-way concrete slabs with FRP composite laminates

    Ayman S. Mosallam;Khalid M. Mosalam

  • Comparison of the structural behavior of reinforced concrete and steel fiber reinforced concrete tunnel segmental joints

    Chenjie Gong;Chenjie Gong;Wenqi Ding;Khalid M. Mosalam;Selim Günay

  • Static Response of Infilled Frames Using Quasi-Static Experimentation

    Khalid M. Mosalam;Richard N. White;Peter Gergely

  • Nonlinear transient analysis of reinforced concrete slabs subjected to blast loading and retrofitted with CFRP composites

    Khalid M. Mosalam;Ayman S. Mosallam

  • Modeling of Unreinforced Masonry Infill Walls Considering In-Plane and Out-of-Plane Interaction

    Stephen Kadysiewski;Khalid M. Mosalam

  • Development and application of the integrated sealant test apparatus for sealing gaskets in tunnel segmental joints

    Wenqi Ding;Chenjie Gong;Chenjie Gong;Khalid M. Mosalam;Kenichi Soga

  • Failure mechanism of joint waterproofing in precast segmental tunnel linings

    Chenjie Gong;Chenjie Gong;Wenqi Ding;Kenichi Soga;Khalid M. Mosalam

  • Deep leaf-bootstrapping generative adversarial network for structural image data augmentation

    Yuqing Gao;Yuqing Gao;Boyuan Kong;Khalid M. Mosalam;Khalid M. Mosalam

  • Probabilistic Seismic Evaluation of Reinforced Concrete Structural Components and Systems

    Tae-Hyung Lee;Khalid M. Mosalam

  • Seismic Fragility of LRC Frames with and without Masonry Infill Walls

    Khalid M. Mosalam;Gustavo Ayala;Richard N. White;Christopher Roth

  • Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges

    Unknown

  • Experimental investigation and numerical analysis of RC beams shear strengthened with FRP/ECC composite layer

    Yu-Zhou Zheng;Wen-Wei Wang;Khalid M. Mosalam;Qin Fang

  • Development of peer‐to‐peer (P2P) internet online hybrid test system

    Peng Pan;Hiroshi Tomofuji;Tao Wang;Masayoshi Nakashima

  • Analysis of reinforced concrete columns retrofitted with fiber reinforced polymer lamina

    Baris Binici;Khalid M. Mosalam

Frequent Co-Authors

Kenichi Soga
Kenichi Soga University of California, Berkeley
Masayoshi Nakashima
Masayoshi Nakashima Kyoto University
Sanjay Govindjee
Sanjay Govindjee University of California, Berkeley
Paolo Gardoni
Paolo Gardoni University of Illinois at Urbana-Champaign
Stephen A. Mahin
Stephen A. Mahin University of California, Berkeley
Armen Der Kiureghian
Armen Der Kiureghian University of California, Berkeley
George Mylonakis
George Mylonakis University of Bristol
Jim Mori
Jim Mori Kyoto University
Costas J. Spanos
Costas J. Spanos University of California, Berkeley
Venkatesh Kodur
Venkatesh Kodur Michigan State University

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