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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
8047
World Ranking
1708
National Ranking
657

Tony L. Schmitz 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 Tony L. Schmitz 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: 275 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Tony L. Schmitz 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 Tony L. Schmitz 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: 43 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Tony L. Schmitz is affiliated with the University of Tennessee at Knoxville in the United States. Their work is situated primarily within the overarching field of Engineering, with considerable focus on several specialized subfields including Mechanical Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, Automotive Engineering, and Electrical and Electronic Engineering.

The research conducted by Tony L. Schmitz spans diverse topics in manufacturing and machining technology. The main areas of study include:

  • Advanced machining processes and optimization
  • Manufacturing process and optimization
  • Advanced surface polishing techniques
  • Additive manufacturing materials and processes
  • Additive manufacturing and 3D printing technologies
  • Advanced measurement and metrology techniques
  • Advanced machining and optimization techniques

Frequent publication venues where Tony L. Schmitz has contributed include:

  • Manufacturing Letters
  • Journal of Manufacturing Processes
  • Procedia CIRP
  • Procedia Manufacturing
  • Precision Engineering

Notable recent papers authored or co-authored by Tony L. Schmitz are:

  • "Chatter Stability of Machining Operations," 2020, Journal of Manufacturing Science and Engineering
  • "Physics-guided logistic classification for tool life modeling and process parameter optimization in machining," 2021, Journal of Manufacturing Systems
  • "Stability boundary and optimal operating parameter identification in milling using Bayesian learning," 2020, Journal of Manufacturing Processes
  • "Review and status of tool tip frequency response function prediction using receptance coupling," 2022, Precision Engineering
  • "Sensors for in-process and on-machine monitoring of machining operations," 2024, CIRP journal of manufacturing science and technology

Tony L. Schmitz has collaborated frequently with fellow researchers including Jaydeep Karandikar, Scott Smith, Michael Gomez, Aaron Cornelius, and Joshua Kincaid. These collaborations reflect significant joint contributions to the field of manufacturing and machining research.

Best Publications

  • Predicting High-Speed Machining Dynamics by Substructure Analysis

    T.L. Schmitz;R.R. Donalson

  • Machining Dynamics: Frequency Response to Improved Productivity

    K. Scott Smith;Tony L. Schmitz

  • Tool Point Frequency Response Prediction for High-Speed Machining by RCSA

    Tony L. Schmitz;Matthew A. Davies;Michael D. Kennedy

  • Three-Component Receptance Coupling Substructure Analysis for Tool Point Dynamics Prediction

    Tony L. Schmitz;G. Scott Duncan

  • Runout effects in milling: Surface finish, surface location error, and stability

    Tony L. Schmitz;Jeremiah Couey;Eric Marsh;Nathan Mauntler

  • Analysis of planar multibody systems with revolute joint wear

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

  • Improving High-Speed Machining Material Removal Rates by Rapid Dynamic Analysis

    T.L. Schmitz;M.A. Davies;K. Medicus;J. Snyder

  • Effects of Radial Immersion and Cutting Direction on Chatter Instability in End-Milling

    Philip V. Bayly;Brian P. Mann;Tony L. Schmitz;David A. Peters

  • Shrink fit tool holder connection stiffness/damping modeling for frequency response prediction in milling

    Tony L. Schmitz;Kevin Powell;Dongki Won;G. Scott Duncan

  • The Difficulty of Measuring Low Friction: Uncertainty Analysis for Friction Coefficient Measurements

    Tony L. Schmitz;Jason E. Action;John C. Ziegert;W. Gregory Sawyer

  • Simultaneous Stability and Surface Location Error Predictions in Milling

    Brian P. Mann;Keith A. Young;Tony L. Schmitz;David N. Dilley

  • Chatter recognition by a statistical evaluation of the synchronously sampled audio signal

    Tony L Schmitz

  • Wear-Rate Uncertainty Analysis

    Tony L. Schmitz;Jason E. Action;David L. Burris;John C. Ziegert

  • Improved Positioning Accuracy of the PA10-6CE Robot with Geometric and Flexibility Calibration

    C. Lightcap;S. Hamner;T. Schmitz;S. Banks

  • Mechanical Vibrations: Modeling and Measurement

    Tony L. Schmitz;K. Scott Smith

  • Chatter Stability of Machining Operations

    Yusuf Altintas;Gabor Stepan;Erhan Budak;Tony Schmitz

  • An investigation of the dynamic absorber effect in high-speed machining

    G.S. Duncan;M.F. Tummond;T.L. Schmitz

  • Case study: A comparison of error sources in high-speed milling

    Tony L. Schmitz;John C. Ziegert;J. Suzanne Canning;Raul Zapata

  • Closed-form solutions for surface location error in milling

    Tony L. Schmitz;Brian P. Mann

  • EXPLORING ONCE-PER-REVOLUTION AUDIO SIGNAL VARIANCE AS A CHATTER INDICATOR

    Tony L. Schmitz;Kate Medicus;Brian Dutterer

  • Examination of surface location error due to phasing of cutter vibrations

    Tony Schmitz;John Ziegert

Frequent Co-Authors

W. Gregory Sawyer
W. Gregory Sawyer Moffitt Cancer Center
Brian P. Mann
Brian P. Mann Duke University
Nam H. Kim
Nam H. Kim University of Florida
Raphael T. Haftka
Raphael T. Haftka University of Florida
Peter Ifju
Peter Ifju University of Florida
Gábor Stépán
Gábor Stépán Budapest University of Technology and Economics
Philip V. Bayly
Philip V. Bayly Washington University in St. Louis
Mark Sheplak
Mark Sheplak University of Florida
David L. Burris
David L. Burris University of Delaware
Tamás Insperger
Tamás Insperger Budapest University of Technology and Economics

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