World's Best Scientists 2026 revealed!
Moo-Hyun Kim

Moo-Hyun Kim

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D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 48 4568 4396 1313 1212 307 8862

Moo-Hyun Kim publications per year

The chart shows the history of publications by Moo-Hyun Kim between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Moo-Hyun Kim published across 38 years, from 1988 to 2025, averaging 9.3 papers a year. Output peaked at 23 publications in 2021. 27 of the 353 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2021. 1988: 1 publication 1989: 2 publications 1990: 1 publication 1991: 4 publications 1992: 3 publications 1993: 5 publications 1994: 5 publications 1995: 4 publications 1996: 5 publications 1997: 6 publications 1998: 8 publications 1999: 9 publications 2000: 4 publications 2001: 6 publications 2002: 4 publications 2003: 8 publications 2004: 7 publications 2005: 7 publications 2006: 6 publications 2007: 8 publications 2008: 10 publications 2009: 5 publications 2010: 18 publications 2011: 13 publications 2012: 12 publications 2013: 14 publications 2014: 16 publications 2015: 12 publications 2016: 10 publications 2017: 21 publications 2018: 15 publications 2019: 15 publications 2020: 18 publications 2021: 23 publications 2022: 11 publications 2023: 10 publications 2024: 12 publications 2025: 15 publications
1988 2025

353 publications in total across all disciplines

View publications per year as a table
Moo-Hyun Kim: publications per year, 1988 to 2025
Year Publications
1988 1
1989 2
1990 1
1991 4
1992 3
1993 5
1994 5
1995 4
1996 5
1997 6
1998 8
1999 9
2000 4
2001 6
2002 4
2003 8
2004 7
2005 7
2006 6
2007 8
2008 10
2009 5
2010 18
2011 13
2012 12
2013 14
2014 16
2015 12
2016 10
2017 21
2018 15
2019 15
2020 18
2021 23
2022 11
2023 10
2024 12
2025 15
Total 353
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Moo-Hyun Kim publications per year - data summary

  • Moo-Hyun Kim, a Engineering and Technology scholar from Texas A&M University, has 353 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive year is 2021, with 23 publications.
  • The least productive years with any output are 1988 and 1990, with 1 publication each.
  • The rate of publication averages 9.3 papers per year over the whole span, or 9.3 per year counting only the 38 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 71 publications, 20% of the career total.
  • Split into equal eras - 1988-2000: 57 publications (4.4 per year); 2001-2013: 118 publications (9.1 per year); 2014-2025: 178 publications (14.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 298–307 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166 307
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Moo-Hyun Kim publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Moo-Hyun Kim, a Engineering and Technology scholar from Texas A&M University, records 307 publications - the 77th percentile of the discipline.
  • 77% of ranked Engineering and Technology scientists score the same or lower than Moo-Hyun Kim, and about 23% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Moo-Hyun Kim ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 48 D-Index, is where this scientist sits. 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: 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271 48
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Moo-Hyun Kim D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Moo-Hyun Kim, a Engineering and Technology scholar from Texas A&M University, records 48 D-Index - the 55th percentile of the discipline.
  • 55% of ranked Engineering and Technology scientists score the same or lower than Moo-Hyun Kim, and about 45% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Moo-Hyun Kim ranks above the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

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

  • 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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