World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6847
World Ranking
5263
National Ranking
349

Iman Hajirasouliha 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 Iman Hajirasouliha 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: 245 publications — 63rd percentile

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

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

Iman Hajirasouliha 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 Iman Hajirasouliha 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: 46 D-Index — 49th percentile

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

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

Overview

Iman Hajirasouliha is affiliated with the University of Sheffield in the United Kingdom. Their research primarily focuses on the field of engineering, with a strong emphasis on civil and structural engineering. Their work spans several subfields including building and construction, mechanics of materials, mechanical engineering, and geophysics.

The scientist's scholarly output covers a broad range of topics related to structural behavior and performance. Key areas of study include:

  • Seismic Performance and Analysis
  • Structural Load-Bearing Analysis
  • Structural Behavior of Reinforced Concrete
  • Structural Health Monitoring Techniques
  • Structural Engineering and Vibration Analysis
  • Fire effects on concrete materials
  • Vibration Control and Rheological Fluids

Hajirasouliha has contributed to numerous publications in high-impact journals, particularly in the domain of steel structures and structural engineering. Frequent venues for publication include:

  • Thin-Walled Structures
  • Structures
  • Engineering Structures
  • Journal of Constructional Steel Research
  • Journal of Building Engineering

Their recent papers include:

  • Deep learning-based procedure for structural design of cold-formed steel channel sections with edge-stiffened and un-stiffened holes under axial compression, 2021, Thin-Walled Structures
  • Experimental study of cold-formed steel built-up columns, 2020, Thin-Walled Structures
  • Experimental study of the cross-sectional capacity of cold-formed steel built-up columns, 2020, Thin-Walled Structures
  • Multi-level performance-based design optimisation of steel frames with nonlinear viscous dampers, 2021, Bulletin of Earthquake Engineering
  • Predicting the buckling behaviour of thin-walled structural elements using machine learning methods, 2023, Thin-Walled Structures

Collaborations feature prominently in Hajirasouliha's research activity. Frequent co-authors include:

  • Seyed Mohammad Mojtabaei
  • Jurgen Becque
  • James B.P. Lim
  • Vahid Mohsenian
  • Kypros Pilakoutas

The scientist's work integrates experimental and computational approaches to address structural engineering challenges, such as performance optimization under seismic loading, structural design optimization, and the application of machine learning to predict structural stability. Their contributions support advancements in the understanding of steel structural elements and seismic resilience in construction engineering.

Best Publications

  • A robust benchmark for detection of germline large deletions and insertions.

    Justin M. Zook;Nancy F. Hansen;Nathan D. Olson;Lesley Chapman

  • Strength and deformability of waste tyre rubber-filled reinforced concrete columns

    Ki Sang Son;Iman Hajirasouliha;Kypros Pilakoutas

  • A new ductile moment-resisting connection for precast concrete frames in seismic regions: An experimental investigation

    Hossein Parastesh;Iman Hajirasouliha;Reza Ramezani

  • Biomolecular network motif counting and discovery by color coding

    Noga Alon;Phuong Dao;Iman Hajirasouliha;Fereydoun Hormozdiari

  • Seismic behaviour of deficient RC frames strengthened with CFRP composites

    Reyes Garcia;Iman Hajirasouliha;Kypros Pilakoutas

  • Deflection behaviour of FRP reinforced concrete beams and slabs: An experimental investigation

    Raed Al-Sunna;Kypros Pilakoutas;Iman Hajirasouliha;Maurizio Guadagnini

  • Composites with recycled rubber aggregates: Properties and opportunities in construction

    Nelson Flores Medina;Reyes Garcia;Iman Hajirasouliha;Kypros Pilakoutas

  • Development of more efficient cold-formed steel channel sections in bending

    Jun Ye;Iman Hajirasouliha;Jurgen Becque;Kypros Pilakoutas

  • Behaviour of unconfined and FRP-confined rubberised concrete in axial compression

    Samar Raffoul;Reyes Garcia;David Escolano-Margarit;Maurizio Guadagnini

  • An efficient performance‐based seismic design method for reinforced concrete frames

    Iman Hajirasouliha;Payam Asadi;Kypros Pilakoutas

  • Experimental investigation of local-flexural interactive buckling of cold-formed steel channel columns

    Jun Ye;Jun Ye;Iman Hajirasouliha;Jurgen Becque

  • Hysteretic performance of a new blind bolted connection to concrete filled columns under cyclic loading: An experimental investigation

    Walid Tizani;Zhi Yu Wang;Iman Hajirasouliha

  • Optimum seismic design of concentrically braced steel frames: concepts and design procedures

    H. Moghaddam;I. Hajirasouliha;A. Doostan

  • Local-flexural interactive buckling of standard and optimised cold-formed steel columns

    Jun Ye;Jun Ye;Seyed Mohammad Mojtabaei;Iman Hajirasouliha

  • Optimum design of cold-formed steel beams using Particle Swarm Optimisation method

    Jun Ye;Iman Hajirasouliha;Jurgen Becque;Abolfazl Eslami

  • Deep learning-based procedure for structural design of cold-formed steel channel sections with edge-stiffened and un-stiffened holes under axial compression

    Zhiyuan Fang;Krishanu Roy;Boshan Chen;Chiu-Wing Sham

  • An investigation on the accuracy of pushover analysis for estimating the seismic deformation of braced steel frames

    H. Moghaddam;I. Hajirasouliha

  • Experimental study of cold-formed steel built-up columns

    Francisco J. Meza;Jurgen Becque;Iman Hajirasouliha

  • Performance-based Seismic Design of Flexible-Base Multi-Storey Buildings Considering Soil-Structure Interaction

    Yang Lu;Iman Hajirasouliha;Alec M. Marshall

  • New Lateral Force Distribution for Seismic Design of Structures

    Iman Hajirasouliha;Iman Hajirasouliha;Hassan Moghaddam;Hassan Moghaddam

  • Predicting the buckling behaviour of thin-walled structural elements using machine learning methods

    Unknown

  • Strength and deflection behaviour of cold-formed steel back-to-back channels

    Jun Ye;Jun Ye;Seyed Mohammad Mojtabaei;Iman Hajirasouliha;Paul Shepherd

Frequent Co-Authors

Kypros Pilakoutas
Kypros Pilakoutas University of Sheffield
James B.P. Lim
James B.P. Lim University of Waikato
Dario De Domenico
Dario De Domenico University of Messina
Izuru Takewaki
Izuru Takewaki Kyoto University
Bijan Samali
Bijan Samali Western Sydney University
Farhad Aslani
Farhad Aslani University of Western Australia
Mehdi S. Saiidi
Mehdi S. Saiidi University of Nevada Reno
Humberto Varum
Humberto Varum University of Porto
Krishanu Roy
Krishanu Roy University of Waikato
Hong Hao
Hong Hao Curtin University

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