World's Best Scientists 2026 revealed!
Mahdi Shariati

Mahdi Shariati

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Engineering and Technology
Vietnam
2026

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
12375
World Ranking
839
National Ranking
1

Mahdi Shariati 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 Mahdi Shariati 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Mahdi Shariati 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 Mahdi Shariati 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: 74 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Vietnam Leader Award
  • 2025 - Research.com Engineering and Technology in Vietnam Leader Award

Overview

Mahdi Shariati is affiliated with Duy Tan University in Vietnam and has a research focus primarily within the field of engineering. Their work predominantly explores areas related to civil and structural engineering, with significant contributions also in building and construction, mechanics of materials, materials chemistry, and safety, risk, reliability, and quality.

The main topics covered in their research include:

  • Structural Behavior of Reinforced Concrete
  • Structural Load-Bearing Analysis
  • Innovative Concrete Reinforcement Materials
  • Concrete and Cement Materials Research
  • Recycled Aggregate Concrete Performance
  • Concrete Corrosion and Durability
  • Structural Engineering and Vibration Analysis

Throughout their career, Shariati has published extensively in several scientific journals. The most frequent publication venues for their work are:

  • Steel and Composite Structures
  • Construction and Building Materials
  • Engineering With Computers
  • Fuel
  • Geomechanics and Engineering

Significant recent papers authored or co-authored by Shariati include:

  • "A novel hybrid extreme learning machine-grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement," 2020, Engineering With Computers
  • "Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia," 2020, Journal of Cleaner Production
  • "Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers," 2020, Construction and Building Materials
  • "Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate," 2021, Construction and Building Materials
  • "Effect of nanoparticles on the performance of polymer/surfactant flooding for enhanced oil recovery: A review," 2021, Fuel

Shariati has collaborated with several frequent co-authors, including:

  • T. Nguyen-Thoi
  • Ali Toghroli
  • Ali Shariati
  • Morteza Naghipour
  • Peyman Mehrabi

Best Publications

  • A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

    Mahdi Shariati;Mohammad Saeed Mafipour;Behzad Ghahremani;Fazel Azarhomayun

  • Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

    Ali Toghroli;Meldi Suhatril;Zainah Ibrahim;Maryam Safa

  • Effect of nanoparticles on the performance of polymer/surfactant flooding for enhanced oil recovery: A review

    Unknown

  • Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

    Maziar Yazdani;Kamyar Kabirifar;Boadu Elijah Frimpong;Mahdi Shariati

  • Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers

    Ali Toghroli;Peyman Mehrabi;Mahdi Shariati;Nguyen Thoi Trung

  • Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Alireza Bahadori

  • Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

    M. Safa;M. Shariati;Z. Ibrahim;A. Toghroli

  • Prediction of shear capacity of channel shear connectors using the ANFIS model

    Nor Hafizah Ramli Sulong;Ali Toghroli;Mohammad Mohammadhassani;Mahdi Shariati

  • Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

    Javad Katebi;Mona Shoaei-parchin;Mahdi Shariati;Nguyen Thoi Trung

  • Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi Shariati

  • Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors

    E. Sadeghipour Chahnasir;Y. Zandi;M. Shariati;E. Dehghani

  • Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate

    Peyman Mehrabi;Mahdi Shariati;Kamyar Kabirifar;Majid Jarrah

  • Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Masoud Ahmadi

  • A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Ali Shariati

  • Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study

    M. Shariati;N.H. Ramli Sulong;A. Shariati;A.B.H. Kueh

  • Application of ANFIS technique on performance of C and L shaped angle shear connectors

    Yadollah Sedghi;Yousef Zandi;Mahdi Shariati;Ebrahim Ahmadi

  • Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives

    Alireza Afshar;Soheil Jahandari;Haleh Rasekh;Mahdi Shariati

  • Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes

    Maryam Safa;Puteri Azura Sari;Mahdi Shariati;Meldi Suhatril

  • Assessing the strength of reinforced concrete structures through Ultrasonic Pulse Velocity and Schmidt Rebound Hammer tests

    Mahdi Shariati;Nor Hafizah Ramli-Sulong;K H Mohammad Mehdi Arabnejad;Payam Shafigh

  • Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading

    Mahdi Shariati;N.H. Ramli Sulong;Meldi Suhatril;Ali Shariati

  • Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Yousef Zandi

  • RETRACTED ARTICLE: Analysis of influential factors forpredicting the shear strength of a V-shaped angle shear connector in composite beamsusing an adaptive neuro-fuzzy technique

    I. Mansouri;M. Shariati;M. Safa;Z. Ibrahim

Frequent Co-Authors

N.H. Ramli Sulong
N.H. Ramli Sulong Queensland University of Technology
Zainah Ibrahim
Zainah Ibrahim University of Malaya
Mahmood Md. Tahir
Mahmood Md. Tahir University of Technology Malaysia
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Mohd Zamin Jumaat
Mohd Zamin Jumaat University of Malaya
Aminaton Marto
Aminaton Marto University of Technology Malaysia
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Alireza Bahadori
Alireza Bahadori Southern Cross University
Dalibor Petković
Dalibor Petković University of Nis
Jorge de Brito
Jorge de Brito Instituto Superior Técnico

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