World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
60
Citations
12547
World Ranking
2209
National Ranking
92

M. Shahria Alam 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 M. Shahria Alam 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: 374 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

M. Shahria Alam 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 M. Shahria Alam 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

M. Shahria Alam is affiliated with the University of British Columbia in Canada and focuses research primarily in the field of Engineering with a specialization in Civil and Structural Engineering. Their work encompasses subfields such as Building and Construction, Mechanical Engineering, Materials Chemistry, and Mechanics of Materials.

The main topics of study in their research include:

  • Seismic Performance and Analysis
  • Structural Behavior of Reinforced Concrete
  • Concrete Corrosion and Durability
  • Innovative concrete reinforcement materials
  • Masonry and Concrete Structural Analysis
  • Structural Load-Bearing Analysis
  • Structural Engineering and Vibration Analysis

Alam has contributed notably to publication venues that frequently cover civil and structural engineering topics. The venues with the highest number of their publications are:

  • Engineering Structures
  • Journal of Structural Engineering
  • Construction and Building Materials
  • Journal of Bridge Engineering
  • Journal of Building Engineering

Significant recent papers authored by Alam include:

  • "Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM" (2022), published in Engineering Structures
  • "Probabilistic seismic fragility and loss analysis of concrete bridge piers with superelastic shape memory alloy-steel coupled reinforcing bars" (2020), published in Engineering Structures
  • "Life-cycle benefits estimation of self-centering building structures" (2023), published in Engineering Structures
  • "Prediction of carbonation depth for recycled aggregate concrete using ANN hybridized with swarm intelligence algorithms" (2021), published in Construction and Building Materials
  • "Machine learning models for predicting compressive strength of fiber-reinforced concrete containing waste rubber and recycled aggregate" (2023), published in Journal of Cleaner Production

Alam frequently collaborates with several co-authors, with the most common collaborators including Shuling Hu, Saif Aldabagh, Wang We, Tadesse G. Wakjira, and Aman Mwafy.

The researcher has also contributed to book publications, with eight titles published by Springer Nature. These books mainly consist of proceedings from the Canadian Society of Civil Engineering Annual Conference spanning from 2021 to 2024.

Best Publications

  • An overview of construction and demolition waste management in Canada: a lifecycle analysis approach to sustainability

    Muluken Yeheyis;Kasun Hewage;M. Shahria Alam;Cigdem Eskicioglu

  • Seismic fragility assessment of highway bridges: a state-of-the-art review

    A.H.M. Muntasir Billah;M. Shahria Alam

  • Utilizing shape memory alloys to enhance the performance and safety of civil infrastructure: a review

    M S Alam;M A Youssef;M Nehdi

  • Experimental Investigation on the Seismic Behavior of Beam-Column Joints Reinforced with Superelastic Shape Memory Alloys

    M. A. Youssef;M. S. Alam;M. Nehdi

  • Mechanical behavior of three generations of 100% repeated recycled coarse aggregate concrete

    Sumaiya Binte Huda;M. Shahria Alam

  • Analytical prediction of the seismic behaviour of superelastic shape memory alloy reinforced concrete elements

    M.S. Alam;M.A. Youssef;M. Nehdi

  • Mechanical properties of recycled aggregate concrete containing crumb rubber and polypropylene fiber

    F.M. Zahid Hossain;Md. Shahjalal;Kamrul Islam;Mohammad Tiznobaik

  • Fragility Analysis of Retrofitted Multicolumn Bridge Bent Subjected to Near-Fault and Far-Field Ground Motion

    A. H. M. Muntasir Billah;M. Shahria Alam;M. A. Rahman Bhuiyan

  • Mechanical and Freeze-Thaw Durability Properties of Recycled Aggregate Concrete Made with Recycled Coarse Aggregate

    Sumaiya B. Huda;M. Shahria Alam

  • Seismic performance of concrete columns reinforced with hybrid shape memory alloy (SMA) and fiber reinforced polymer (FRP) bars

    A.H.M. Muntasir Billah;M. Shahria Alam

  • Shape memory alloy wire-based smart natural rubber bearing

    F Hedayati Dezfuli;M Shahria Alam

  • Seismic Fragility Assessment of Concrete Bridge Pier Reinforced with Superelastic Shape Memory Alloy

    A. H. M. Muntasir Billah;M. Shahria Alam

  • Predicting the shear strength of steel fiber reinforced concrete beams

    Emma Slater;Moniruzzaman Moni;M. Shahria Alam

  • Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

    Unknown

  • Seismic performance assessment of highway bridges equipped with superelastic shape memory alloy-based laminated rubber isolation bearing

    A. Rahman Bhuiyan;M. Shahria Alam

  • Seismic performance of concrete frame structures reinforced with superelastic shape memory alloys

    M. Shahria Alam;Moncef Nehdi;Maged A. Youssef

  • Seismic fragility assessment of SMA-bar restrained multi-span continuous highway bridge isolated by different laminated rubber bearings in medium to strong seismic risk zones

    Unknown

  • Development of corrosion-free concrete beam–column joint with adequate seismic energy dissipation

    M. Nehdi;M. Shahria Alam;M.A. Youssef

  • Probabilistic seismic fragility and loss analysis of concrete bridge piers with superelastic shape memory alloy-steel coupled reinforcing bars

    Nailiang Xiang;Xu Chen;M. Shahria Alam

  • Erratum to: Seismic fragility assessment of SMA-bar restrained multi-span continuous highway bridge isolated by different laminated rubber bearings in medium to strong seismic risk zones

    M. Shahria Alam;M. A. Rahman Bhuiyan;A. H. M. Muntasir Billah

  • Performance-Based Seismic Design of Shape Memory Alloy–Reinforced Concrete Bridge Piers. I: Development of Performance-Based Damage States

    A. H. M. Muntasir Billah;M. Shahria Alam

  • Performance-based assessment and design of FRP-based high damping rubber bearing incorporated with shape memory alloy wires

    F. Hedayati Dezfuli;M. Shahria Alam

  • Seismic overstrength and ductility of concrete buildings reinforced with superelastic shape memory alloy rebar

    M. Shahria Alam;M. Moni;S. Tesfamariam

  • Exploratory investigation on mechanical anchors for connecting SMA bars to steel or FRP bars

    M. Shahria Alam;Maged A. Youssef;Moncef L. Nehdi

Frequent Co-Authors

Jingquan Wang
Jingquan Wang Southeast University
Kasun Hewage
Kasun Hewage University of British Columbia
Thomas Tannert
Thomas Tannert University of Northern British Columbia
Rehan Sadiq
Rehan Sadiq University of British Columbia
Solomon Tesfamariam
Solomon Tesfamariam University of Waterloo
Moncef L. Nehdi
Moncef L. Nehdi University of Guelph
Abbas S. Milani
Abbas S. Milani University of British Columbia
Usama Ebead
Usama Ebead Qatar University
Robert Tremblay
Robert Tremblay Polytechnique Montréal
Nemkumar Banthia
Nemkumar Banthia University of British Columbia

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