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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
12624
World Ranking
799
National Ranking
343

Kornel F. Ehmann 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 Kornel F. Ehmann 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: 372 publications — 84th percentile

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

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

Kornel F. Ehmann 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 Kornel F. Ehmann 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: 57 D-Index — 77th percentile

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

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

Research.com Recognitions

  • 2001 - Fellow of the American Society of Mechanical Engineers

Overview

Kornel F. Ehmann is affiliated with Northwestern University in the United States and has contributed extensively to the field of engineering, with a primary focus on mechanical engineering and its related subfields. Their research integrates advanced manufacturing processes, computational techniques, and materials science.

The fields and subfields in which they have published include:

  • Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Biomedical Engineering
  • Computational Mechanics
  • Automotive Engineering

Ehmann's research covers a variety of specialized topics such as:

  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Surface Polishing Techniques
  • Advanced machining processes and optimization
  • Metal Forming Simulation Techniques
  • Welding Techniques and Residual Stresses
  • Laser Material Processing Techniques

The scientist has published several recent papers on thermal modeling and manufacturing technologies, including:

  • Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification, 2023, Computational Mechanics
  • Physical mechanisms in hybrid additive manufacturing: A process design framework, 2021, Journal of Materials Processing Technology
  • Geometry-agnostic data-driven thermal modeling of additive manufacturing processes using graph neural networks, 2021, Additive Manufacturing
  • Galling phenomena in metal forming, 2020, Friction
  • Simulation-guided variable laser power design for melt pool depth control in directed energy deposition, 2022, Additive Manufacturing

Frequent coauthors working alongside Kornel F. Ehmann include:

  • Jian Cao
  • Samantha Webster
  • Shuheng Liao
  • Jihoon Jeong
  • Jon-Erik Mogonye

The venues where Ehmann has most frequently published comprise:

  • Journal of Materials Processing Technology
  • Journal of Manufacturing Processes
  • Manufacturing Letters
  • Journal of Manufacturing Science and Engineering
  • SSRN Electronic Journal

In addition to journal articles, Kornel F. Ehmann has contributed to book publications, such as "NUMISHEET 2022" published by Springer International Publishing.

The award recognition includes being named a Fellow of the American Society of Mechanical Engineers in 2001.

Best Publications

  • The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science

    X. Liu;R. E. DeVor;S. G. Kapoor;K. F. Ehmann

  • Deep learning predicts path-dependent plasticity.

    M Mozaffar;R Bostanabad;R Bostanabad;W Chen;K Ehmann

  • Machining Process Modeling: A Review

    K. F. Ehmann;S. G. Kapoor;R. E. DeVor;I. Lazoglu

  • Machining of Carbon Fiber Reinforced Plastics/Polymers: A Literature Review

    Demeng Che;Ishan Saxena;Peidong Han;Ping Guo

  • Volumetric Error Analysis of a Stewart Platform-Based Machine Tool

    A.J. Patel;K.F. Ehmann

  • Data-driven multi-scale multi-physics models to derive process---structure---property relationships for additive manufacturing

    Wentao Yan;Stephen Lin;Orion L. Kafka;Yanping Lian

  • An analysis of the surface generation mechanics of the elliptical vibration texturing process

    Ping Guo;Kornel F. Ehmann

  • Cutting forces in micro-end-milling processes

    Xuewei Zhang;Xuewei Zhang;Kornel F. Ehmann;Tianbiao Yu;Wanshan Wang

  • Development of a tertiary motion generator for elliptical vibration texturing

    Ping Guo;Kornel F. Ehmann

  • Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

    Mojtaba Mozaffar;Arindam Paul;Reda Al-Bahrani;Sarah Wolff

  • A CAD approach to helical groove machining—I. mathematical model and model solution

    S. K. Kang;Kornel Ehmann;C. Lin

  • Error Model and Accuracy Analysis of a Six-DOF Stewart Platform

    Shih Ming Wang;Kornel F. Ehmann

  • Anisotropic properties of directed energy deposition (DED)-processed Ti–6Al–4V

    Sarah Wolff;Taekyung Lee;Eric Faierson;Kornel Ehmann

  • Towards atomic and close-to-atomic scale manufacturing

    Fengzhou Fang;Fengzhou Fang;Nan Zhang;Dongming Guo;Kornel Ehmann

  • Development of a virtual machining system, part 1: approximation of the size effect for cutting force prediction

    Jeong Hoon Ko;Won Soo Yun;Dong Woo Cho;Kornel F. Ehmann

  • Development of meso-scale machine tool (mMT) systems

    Michael P. Vogler;Xinyu Liu;Shiv G. Kapoor;Richard E. DeVor

  • Calibration of a hexapod machine tool using a redundant leg

    Amit J. Patel;Kornel F. Ehmann

  • Surface Texturing of Tribological Interfaces Using the Vibromechanical Texturing Method

    Aaron Greco;Steven Raphaelson;Kornel Ehmann;Q. Jane Wang

  • In-situ high-speed X-ray imaging of piezo-driven directed energy deposition additive manufacturing.

    Sarah J. Wolff;Hao Wu;Hao Wu;Niranjan Parab;Cang Zhao

  • Review of chatter studies in cold rolling

    I.S. Yun;W.R.D. Wilson;K.F. Ehmann

Frequent Co-Authors

Jian Cao
Jian Cao Northwestern University
Richard E. DeVor
Richard E. DeVor University of Illinois at Urbana-Champaign
Xiaochun Li
Xiaochun Li University of California, Los Angeles
Dawei Zhang
Dawei Zhang Tianjin University
Shiv Gopal Kapoor
Shiv Gopal Kapoor University of Illinois at Urbana-Champaign
Dong-Woo Cho
Dong-Woo Cho Pohang University of Science and Technology
Jiaxing Huang
Jiaxing Huang Northwestern University
David L. Bourell
David L. Bourell The University of Texas at Austin
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor
Marc J. Madou
Marc J. Madou University of California, Irvine

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