World's Best Scientists 2026 revealed!
Abbas Khayyer

Abbas Khayyer

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
7976
World Ranking
5484
National Ranking
91

Abbas Khayyer 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 Abbas Khayyer 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Abbas Khayyer 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 Abbas Khayyer 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Abbas Khayyer is affiliated with Kyoto University in Japan and has contributed extensively to the field of engineering, with a particular focus on computational mechanics and ocean engineering. Khayyer's research encompasses a range of topics including fluid dynamics simulations and interactions, lattice Boltzmann simulation studies, numerical methods in engineering, and vibration and dynamic analysis.

The scientist has published numerous papers in notable venues. Recent publications include:

  • Particle methods in ocean and coastal engineering, 2021, Applied Ocean Research
  • A coupled incompressible SPH-Hamiltonian SPH solver for hydroelastic FSI corresponding to composite structures, 2021, Applied Mathematical Modelling
  • Enhanced resolution of the continuity equation in explicit weakly compressible SPH simulations of incompressible free-surface fluid flows, 2022, Applied Mathematical Modelling
  • Multi-resolution ISPH-SPH for accurate and efficient simulation of hydroelastic fluid-structure interactions in ocean engineering, 2021, Ocean Engineering
  • Entirely Lagrangian meshfree computational methods for hydroelastic fluid-structure interactions in ocean engineering-Reliability, adaptivity and generality, 2021, Applied Ocean Research

Khayyer frequently collaborates with other researchers within the domain. Frequent coauthors include:

  • Hitoshi GOTOH
  • Yuma Shimizu
  • Min Luo
  • Takafumi Gotoh
  • Qingwei Ma

Publications are commonly featured in recognized journals and conference proceedings such as:

  • Applied Ocean Research
  • Ocean Engineering
  • International Journal of Offshore and Polar Engineering
  • Applied Mathematical Modelling
  • Engineering Analysis with Boundary Elements

The research contributions primarily fall under the broad category of engineering, with a concentration on computational mechanics (87 publications), mechanics of materials, ocean engineering, aerospace engineering, and control and systems engineering. The main research topics include fluid dynamics simulations and interactions, lattice Boltzmann simulation studies, fluid dynamics and heat transfer, numerical methods, fluid dynamics and vibration analysis, geotechnical engineering and underground structures, and vibration and dynamic analysis.

Abbas Khayyer's work involves the development and application of numerical simulation techniques to solve complex fluid-structure interaction problems, with a focus on hydroelastic phenomena relevant to ocean engineering.

Best Publications

  • Enhancement of stability and accuracy of the moving particle semi-implicit method

    Abbas Khayyer;Hitoshi Gotoh

  • Modified Moving Particle Semi-implicit methods for the prediction of 2D wave impact pressure

    A. Khayyer;H. Gotoh

  • Corrected Incompressible SPH method for accurate water-surface tracking in breaking waves

    A. Khayyer;H. Gotoh;S.D. Shao

  • Comparative study on accuracy and conservation properties of two particle regularization schemes and proposal of an optimized particle shifting scheme in ISPH context

    Abbas Khayyer;Hitoshi Gotoh;Yuma Shimizu

  • On the state-of-the-art of particle methods for coastal and ocean engineering

    Hitoshi Gotoh;Abbas Khayyer

  • An enhanced ISPH–SPH coupled method for simulation of incompressible fluid–elastic structure interactions

    Abbas Khayyer;Hitoshi Gotoh;Hosein Falahaty;Yuma Shimizu

  • A higher order Laplacian model for enhancement and stabilization of pressure calculation by the MPS method

    Abbas Khayyer;Hitoshi Gotoh

  • Particle methods in ocean and coastal engineering

    Min Luo;Abbas Khayyer;Pengzhi Lin

  • A short note on Dynamic Stabilization of Moving Particle Semi-implicit method

    Naoki Tsuruta;Abbas Khayyer;Hitoshi Gotoh

  • Current achievements and future perspectives for projection-based particle methods with applications in ocean engineering

    Hitoshi Gotoh;Abbas Khayyer

  • ENHANCED PREDICTIONS OF WAVE IMPACT PRESSURE BY IMPROVED INCOMPRESSIBLE SPH METHODS

    Abbas Khayyer;Hitoshi Gotoh;Songdong Shao

  • On enhancement of Incompressible SPH method for simulation of violent sloshing flows

    Hitoshi Gotoh;Abbas Khayyer;Hiroyuki Ikari;Taro Arikawa

  • Enhancement of performance and stability of MPS mesh-free particle method for multiphase flows characterized by high density ratios

    Abbas Khayyer;Hitoshi Gotoh

  • DEVELOPMENT OF CMPS METHOD FOR ACCURATE WATER-SURFACE TRACKING IN BREAKING WAVES

    Abbas Khayyer;Hitoshi Gotoh

  • Enhanced resolution of the continuity equation in explicit weakly compressible SPH simulations of incompressible free-surface fluid flows

    Unknown

  • Multi-resolution MPS for incompressible fluid-elastic structure interactions in ocean engineering

    Abbas Khayyer;Naoki Tsuruta;Yuma Shimizu;Hitoshi Gotoh

  • A 3D higher order Laplacian model for enhancement and stabilization of pressure calculation in 3D MPS-based simulations

    Abbas Khayyer;Hitoshi Gotoh

  • Development of a fully Lagrangian MPS-based coupled method for simulation of fluid-structure interaction problems

    Sung-Chul Hwang;Abbas Khayyer;Hitoshi Gotoh;Jong-Chun Park

  • Development of a projection-based SPH method for numerical wave flume with porous media of variable porosity

    Abbas Khayyer;Hitoshi Gotoh;Yuma Shimizu;Kohji Gotoh

  • A coupled incompressible SPH-Hamiltonian SPH solver for hydroelastic FSI corresponding to composite structures

    Abbas Khayyer;Yuma Shimizu;Hitoshi Gotoh;Ken Nagashima

  • Numerical simulations of sloshing flows with elastic baffles by using a particle-based fluid–structure interaction analysis method

    Sung-Chul Hwang;Jong-Chun Park;Hitoshi Gotoh;Abbas Khayyer

  • On enhancement of energy conservation properties of projection-based particle methods

    Abbas Khayyer;Hitoshi Gotoh;Yuma Shimizu;Kohji Gotoh

Frequent Co-Authors

Hitoshi Gotoh
Hitoshi Gotoh Kyoto University
Songdong Shao
Songdong Shao University of Sheffield
Pengzhi Lin
Pengzhi Lin Sichuan University

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