World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
9418
World Ranking
1352
National Ranking
539

Nam H. Kim publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Nam H. Kim sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 347 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Nam H. Kim D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Nam H. Kim sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 47 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Nam H. Kim is affiliated with the University of Florida in the United States and has contributed extensively to the field of engineering, with a particular focus on areas such as control and systems engineering, civil and structural engineering, mechanical engineering, statistics, probability and uncertainty, and mechanics of materials.

The scientist's work encompasses a variety of topics related primarily to engineering diagnostics and optimization methodologies. Key research themes include:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Advanced Multi-Objective Optimization Algorithms
  • Probabilistic and Robust Engineering Design
  • Structural Health Monitoring Techniques
  • Reliability and Maintenance Optimization
  • Infrastructure Maintenance and Monitoring

Nam H. Kim has published numerous papers across multiple well-recognized journals. Some notable recent publications include:

  • "Measurement of Residual Stress in Silicon Carbide Fibers of Tubular Composites Using Raman Spectroscopy" (2021) in Acta Materialia
  • "Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network" (2022) in Structural and Multidisciplinary Optimization
  • "Generalized Optimality Criteria Method for Topology Optimization" (2021) in Applied Sciences
  • "Multilevel Monte Carlo simulations of composite structures with uncertain manufacturing defects" (2020) in Probabilistic Engineering Mechanics
  • "Challenges and Opportunities of System-Level Prognostics" (2021) in Sensors

Frequent publication venues where Nam H. Kim's work appears include:

  • Journal of Digital Contents Society
  • Applied Sciences
  • Sensors
  • Structural and Multidisciplinary Optimization
  • Thin-Walled Structures

The scientist has collaborated regularly with other researchers, with notable frequent co-authors being:

  • Joo-Ho Choi
  • Seokgoo Kim
  • Raphael T. Haftka
  • Hyung Jun Park
  • Gwang-Mi Choi

Best Publications

  • Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

    Dawn An;Dawn An;Nam Ho Kim;Joo Ho Choi

  • On design optimization for structural crashworthiness and its state of the art

    Jianguang Fang;Guangyong Sun;Na Qiu;Nam H. Kim

  • Structural Sensitivity Analysis and Optimization 1: Linear Systems

    Kyung K. Choi;Nam-Ho Kim

  • Review of options for structural design sensitivity analysis. Part 1: Linear systems

    F. van Keulen;R.T. Haftka;N.H. Kim

  • Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

    Dawn An;Dawn An;Joo Ho Choi;Nam Ho Kim

  • Adaptive Designs of Experiments for Accurate Approximation of a Target Region

    Victor Picheny;David Ginsbourger;Olivier Roustant;Raphael T. Haftka

  • Mechanical Engineering Series

    Frederic F. Ling;Kyung K. Choi;Nam H. Kim;Nam Ho Kim

  • Remarks on multi-fidelity surrogates

    Chanyoung Park;Raphael T. Haftka;Nam H. Kim

  • Analysis of planar multibody systems with revolute joint wear

    Saad Mukras;Nam H. Kim;Nathan A. Mauntler;Tony L. Schmitz

  • Issues in Deciding Whether to Use Multifidelity Surrogates

    M. Giselle Fernández-Godino;Chanyoung Park;Nam H. Kim;Raphael T. Haftka

  • Review of multi-fidelity models

    M. Giselle Fernández-Godino;Chanyoung Park;Nam-Ho Kim;Raphael T. Haftka

  • Finite element analysis and experiments of metal/metal wear in oscillatory contacts

    Nam Ho Kim;Dongki Won;David Burris;Brian Holtkamp

  • Numerical integration schemes and parallel computation for wear prediction using finite element method

    Saad Mukras;Nam H. Kim;W. Gregory Sawyer;David B. Jackson

  • Country of origin effects on brand image, brand evaluation, and purchase intention: A closer look at Seoul, New York, and Paris fashion collection

    Namhoon Kim;Eunha Chun;Eunju Ko

  • Application of bootstrap method in conservative estimation of reliability with limited samples

    Victor Picheny;Nam Ho Kim;Raphael T. Haftka

  • Multifidelity Surrogate Based on Single Linear Regression

    Yiming Zhang;Nam H. Kim;Chanyoung Park;Raphael T. Haftka

  • Design sensitivity analysis for sequential structural–acoustic problems

    Nam H. Kim;Jun Dong;Kyung K. Choi;N. Vlahopoulos

  • Numerical method for shape optimization using meshfree method

    N.H. Kim;K.K. Choi;M.E. Botkin

  • Meshless shape design sensitivity analysis and optimization for contact problem with friction

    N. H. Kim;K. K. Choi;J. S. Chen;Y. H. Park

  • Review of statistical model calibration and validation—from the perspective of uncertainty structures

    Guesuk Lee;Wongon Kim;Hyunseok Oh;Byeng D. Youn

  • DESIGN SENSITIVITY ANALYSIS AND OPTIMIZATION OF NONLINEAR TRANSIENT DYNAMICS

    Nam H. Kim;Kyung K. Choi

  • Prognostics and Health Management of Engineering Systems: An Introduction

    Nam-Ho Kim;Dawn An;Joo-Ho Choi

Frequent Co-Authors

Raphael T. Haftka
Raphael T. Haftka University of Florida
Kyung K. Choi
Kyung K. Choi University of Iowa
W. Gregory Sawyer
W. Gregory Sawyer Moffitt Cancer Center
Tony L. Schmitz
Tony L. Schmitz University of Tennessee at Knoxville
S. Balachandar
S. Balachandar University of Florida
Sang Bok Lee
Sang Bok Lee University of Maryland, College Park
Jiun-Shyan Chen
Jiun-Shyan Chen University of California, San Diego
Christophe Pierre
Christophe Pierre Stevens Institute of Technology
Fuh-Gwo Yuan
Fuh-Gwo Yuan North Carolina State University
Gary W. Rubloff
Gary W. Rubloff University of Maryland, College Park

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