World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
8862
World Ranking
4566
National Ranking
1312

Moo-Hyun Kim 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 Moo-Hyun Kim sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 307 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Moo-Hyun Kim 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 Moo-Hyun Kim sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Moo-Hyun Kim is affiliated with Texas A&M University in the United States and has a research portfolio primarily focused on engineering, with a significant emphasis on ocean engineering. Their academic contributions span various interconnected areas within the field, often addressing the dynamics of marine structures and energy systems.

The main fields of study for Moo-Hyun Kim include:

  • Engineering

Their work in subfields of study covers multiple aspects of engineering and environmental processes such as:

  • Ocean Engineering
  • Computational Mechanics
  • Civil and Structural Engineering
  • Oceanography
  • Earth-Surface Processes

Moo-Hyun Kim's research topics predominantly focus on areas related to marine and fluid dynamics and energy systems:

  • Wave and Wind Energy Systems
  • Fluid Dynamics and Vibration Analysis
  • Fluid Dynamics Simulations and Interactions
  • Coastal and Marine Dynamics
  • Vibration and Dynamic Analysis
  • Ship Hydrodynamics and Maneuverability
  • Ocean Waves and Remote Sensing

The scientist has published frequently in the following venues, reflecting an ongoing contribution to academic discourse in ocean and marine-related fields:

  • Ocean Engineering
  • Journal of Marine Science and Engineering
  • Marine Structures
  • International Journal of Naval Architecture and Ocean Engineering
  • Applied Ocean Research

Their recent published papers include:

  • "Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades" (2021) in Renewable Energy
  • "Review of Recent Offshore Wind Turbine Research and Optimization Methodologies in Their Design" (2021) in Journal of Marine Science and Engineering
  • "Multi-floater-mooring coupled time-domain hydro-elastic analysis in regular and irregular waves" (2020) in Applied Ocean Research
  • "Time-domain coupled dynamic simulation for SFT-mooring-train interaction in waves and earthquakes" (2020) in Marine Structures
  • "Optimization of tuned mass damper for seismic control of submerged floating tunnel" (2021) in Engineering Structures

Moo-Hyun Kim collaborates frequently with several co-authors, indicating a network of research partnerships within the field. Notable frequent co-authors include:

  • Chungkuk Jin
  • Sung-Jae Kim
  • Weoncheol Koo
  • Farid Putra Bakti
  • Woo Chul Chung

Best Publications

  • Step-by-step improvement of MPS method in simulating violent free-surface motions and impact-loads

    Byung-Hyuk Lee;Jong-Chun Park;Moo-Hyun Kim;Sung-Chul Hwang

  • The complete second-order diffraction solution for an axisymmetric body Part 1. Monochromatic incident waves

    Moo-Hyun Kim;Dick K. P. Yue

  • The complete second-order diffraction solution for an axisymmetric body Part 2. Bichromatic incident waves and body motions

    Moo-Hyun Kim;Dick K. P. Yue

  • Freely floating-body simulation by a 2D fully nonlinear numerical wave tank

    Weoncheol Koo;Moo-Hyun Kim

  • Wave absorbing system using inclined perforated plates

    I. H. Cho;M. H. Kim

  • Vessel/mooring/riser coupled dynamic analysis of a turret-moored FPSO compared with OTRC experiment

    M.H. Kim;B.J. Koo;R.M. Mercier;E.G. Ward

  • Fully non‐linear free‐surface simulations by a 3D viscous numerical wave tank

    Jong‐Chun Park;Moo‐Hyun Kim;Hideaki Miyata

  • A parametric sensitivity study on LNG tank sloshing loads by numerical simulations

    D.H. Lee;M.H. Kim;S.H. Kwon;J.W. Kim

  • The effects of LNG-tank sloshing on the global motions of LNG carriers

    S.J. Lee;M.H. Kim;D.H. Lee;J.W. Kim

  • Mathieu instability of a spar platform with mooring and risers

    B.J. Koo;M.H. Kim;R.E. Randall

  • Hydrodynamic interactions and relative motions of two floating platforms with mooring lines in side-by-side offloading operation

    B.J. Koo;M.H. Kim

  • Coupled-dynamic analysis of floating structures with polyester mooring lines

    Arcandra Tahar;M.H. Kim

  • Hull/Mooring Coupled Dynamic Analysis of a Truss Spar In Time Domain

    M.H. Kim;Z. Ran;W. Zheng;S. Bhat

  • Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades

    Do-Eun Choe;Hyoung-Chul Kim;Moo-Hyun Kim

  • Hull/mooring/riser coupled dynamic analysis and sensitivity study of a tanker-based FPSO

    Arcandra Tahar;M.H. Kim

  • Fully nonlinear 3-d Numerical Wave Tank simulation

    M. S Celebl;M. H Kim;R. F Beck

  • Interactions of Horizontal Porous Flexible Membrane with Waves

    I. H. Cho;M. H. Kim

  • Coupled Dynamic Analysis of a Moored Spar in Random Waves and Currents (Time-Domain Versus Frequency-Domain Analysis)

    Z. Ran;M. H. Kim;W. Zheng

  • Review of Recent Offshore Wind Turbine Research and Optimization Methodologies in Their Design

    Unknown

  • Transient effects of tendon disconnection of a TLP by hull–tendon–riser coupled dynamic analysis

    Chan K. Yang;M.H. Kim

  • Nonlinear Coupled Responses of a Tethered Spar Platform In Waves

    Z. Ran;M.H. Kim

Frequent Co-Authors

Kiseon Kim
Kiseon Kim Gwangju Institute of Science and Technology
Jang-Ung Park
Jang-Ung Park Yonsei University
Patrick J. Lynett
Patrick J. Lynett University of Southern California
Ho-Hwan Chun
Ho-Hwan Chun Pusan National University

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