World's Best Scientists 2026 revealed!
Koichi Maekawa

Koichi Maekawa

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
9370
World Ranking
6420
National Ranking
127

Koichi Maekawa 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 Koichi Maekawa 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: 353 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Koichi Maekawa 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 Koichi Maekawa 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Koichi Maekawa is affiliated with the University of Tokyo in Japan and specializes in research within the field of engineering, with a primary focus on civil and structural engineering. Their work spans several interconnected subfields, including building and construction, materials chemistry, pollution, and mechanics of materials.

The scientist has contributed extensively to the understanding of concrete and cement materials, particularly concentrating on concrete corrosion and durability, as well as concrete properties and behavior. Structural behavior of reinforced concrete, innovative concrete reinforcement materials, fire effects on concrete materials, and corrosion behavior and inhibition are also significant topics within their research portfolio.

Koichi Maekawa has published research in multiple venues, often contributing to journals that focus on concrete technology and construction materials. Frequent publication venues include:

  • Journal of Advanced Concrete Technology
  • Construction and Building Materials
  • Cement and Concrete Composites
  • Structural Concrete
  • Engineering Structures

Recent papers authored or co-authored by Maekawa and their collaborators include:

  • Multi-Scale and Multi-Chemo-Physics Lifecycle Evaluation of Structural Concrete under Environmental and Mechanical Impacts (2023, Journal of Intelligent Construction)
  • Computational Modeling of Combined Frost Damage and Alkali-Silica Reaction on the Durability and Fatigue Life of RC Bridge Decks (2023, Journal of Intelligent Construction)
  • Mechanical properties of concrete with smeared cracking by alkali-silica reaction and freeze-thaw cycles (2020, Cement and Concrete Composites)
  • Time-dependent retardation effect of epoxy latexes on cement hydration: Experiments and multi-component hydration model (2022, Construction and Building Materials)
  • Thermo-Mechanistic Multi-Scale Modeling of Structural Concrete at High Temperature (2020, Journal of Advanced Concrete Technology)

Collaborative work is a significant aspect of Maekawa's research, with frequent co-authors including:

  • Fuyuan Gong
  • Zhao Wang
  • Keitai Iwama
  • Chikako Fujiyama
  • Kazuaki Higuchi

Best Publications

  • Nonlinear mechanics of reinforced concrete

    K. Maekawa;H. Okamura;A. Pimanmas

  • Multi-scale Modeling of Concrete Performance Integrated Material and Structural Mechanics

    Koichi Maekawa;Tetsuya Ishida;Toshiharu Kishi

  • Multi-scale modeling of structural concrete

    Koichi Maekawa;Tetsuya Ishida;Toshiharu Kishi

  • Modeling for Postyield Buckling of Reinforcement

    Rajesh Prasad Dhakal;Koichi Maekawa

  • Enhanced modeling of moisture equilibrium and transport in cementitious materials under arbitrary temperature and relative humidity history

    Tetsuya Ishida;Koichi Maekawa;Toshiharu Kishi

  • Reinforcement Stability and Fracture of Cover Concrete in Reinforced Concrete Members

    Rajesh Prasad Dhakal;Koichi Maekawa

  • Path-dependent cyclic stress-strain relationship of reinforcing bar including buckling

    Rajesh Prasad Dhakal;Koichi Maekawa

  • THE COLLAPSE MECHANISM OF A SUBWAY STATION DURING THE GREAT HANSHIN EARTHQUAKE

    Xuehui An;Ashraf A. Shawky;Koichi Maekawa

  • MODELING OF PH PROFILE IN PORE WATER BASED ON MASS TRANSPORT AND CHEMICAL EQUILIBRIUM THEORY

    Tetsuya Ishida;Koichi Maekawa

  • NUMERICAL SIMULATION OF SIZE EFFECT IN SHEAR STRENGTH OF RC BEAMS

    Xuehui An;Koichi Maekawa;Hajime Okamura

  • Modeling of Calcium Leaching from Cement Hydrates Coupled with Micro-Pore Formation

    Kenichiro Nakarai;Tetsuya Ishida;Koichi Maekawa

  • Modelling of Concrete Performance: Hydration, Microstructure and Mass Transport

    Rajesh Chaube;Toshiharu Kishi;Koichi Maekawa

  • Direct Path-Integral Scheme for Fatigue Simulation of Reinforced Concrete in Shear

    Koichi Maekawa;Kukrit Toongoenthong;Esayas Gebreyouhannes;Toshiharu Kishi

  • Multi-scale simulation of freeze-thaw damage to RC column and its restoring force characteristics

    Fuyuan Gong;Koichi Maekawa

  • Three-Dimensional Fatigue Simulation of RC Slabs under Traveling Wheel-Type Loads

    Koichi Maekawa;Esayas Gebreyouhannes;Tetsuya Mishima;Xuehui An

  • Theoretically Identified Strong Coupling of Carbonation Rate and Thermodynamic Moisture States in Micropores of Concrete

    Tetsuya Ishida;Koichi Maekawa;Masoud Soltani

  • Simulation of Coupled Corrosive Product Formation, Migration into Crack and Propagation in Reinforced Concrete Sections

    Kukrit Toongoenthong;Koichi Maekawa

  • Pre- and Postyield Finite Element Method Simulation of Bond of Ribbed Reinforcing Bars

    Hamed M. Salem;Koichi Maekawa

  • Computational model for post cracking analysis of RC membrane elements based on local stress–strain characteristics

    Masoud Soltani;Xuehui An;Koichi Maekawa

  • Remaining fatigue life assessment of in-service road bridge decks based upon artificial neural networks

    Eissa Fathalla;Yasushi Tanaka;Koichi Maekawa

  • Modeling of structural performances under coupled environmental and weather actions

    K. Maekawa;T. Ishida

Frequent Co-Authors

Rajesh P. Dhakal
Rajesh P. Dhakal University of Canterbury

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