World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
76
Citations
26087
World Ranking
266
National Ranking
131

David Dornfeld 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 David Dornfeld 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: 397 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

David Dornfeld 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 David Dornfeld 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: 76 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

David Dornfeld was affiliated with the University of California, Berkeley in the United States. Throughout their career, Dornfeld contributed to the academic community primarily through their association with this institution.

Although there are no specific publications or frequent co-authors listed, Dornfeld's profile does not include detailed information on recent papers or primary topics of research. Similarly, no data is available about the main fields or subfields of study, frequent publication venues, or book publications from Dornfeld.

Dornfeld is noted as deceased, and as such, all references to their academic career are presented in the past tense to reflect this status.

Best Publications

  • Advanced monitoring of machining operations

    Roberto Teti;Krzysztof Jemielniak;Garret O'Donnell;David Dornfeld

  • Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach

    Joost R. Duflou;John W. Sutherland;David Dornfeld;Christoph Herrmann

  • Recent Advances in Mechanical Micromachining

    David Dornfeld;Sangkee Min;Y. Takeuchi

  • Tool Condition Monitoring (TCM) — The Status of Research and Industrial Application

    G. Byrne;D. Dornfeld;I. Inasaki;G. Ketteler

  • Material removal mechanism in chemical mechanical polishing: theory and modeling

    Jianfeng Luo;D.A. Dornfeld

  • Advancing Cutting Technology

    G. Byrne;David Dornfeld;B. Denkena

  • Intelligent Manufacturing Systems

    Andrew Kusiak;David Dornfeld

  • Burrs—Analysis, control and removal

    J.C. Aurich;D. Dornfeld;P.J. Arrazola;V. Franke

  • Present Situation and Future Trends in Modelling of Machining Operations Progress Report of the CIRP Working Group ‘Modelling of Machining Operations’

    C.A. van Luttervelt;T.H.C. Childs;I.S. Jawahir;F. Klocke

  • Material Removal Mechanisms in Lapping and Polishing

    C. J. Evans;E. Paul;David Dornfeld;D. A. Lucca

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use

    Nancy Diaz;Elena Redelsheimer;David Dornfeld

  • A Review of Engineering Research in Sustainable Manufacturing

    Karl R. Haapala;Fu Zhao;Jaime Camelio;John W. Sutherland

  • Automated energy monitoring of machine tools

    Athulan Vijayaraghavan;David Dornfeld

  • Precision manufacturing process monitoring with acoustic emission

    D.E. Lee;I. Hwang;C.M.O. Valente;J.F.G. Oliveira

  • Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring

    S. Rangwala;D. Dornfeld

  • Neural Network Sensor Fusion for Tool Condition Monitoring

    David A. Dornfeld;M.F. DeVries

  • Moving Towards Green and Sustainable Manufacturing

    David Alan Dornfeld

  • Quantitative Relationships for Acoustic Emission from Orthogonal Metal Cutting

    Elijah Kannatey-Asibu;David A. Dornfeld

  • Drilling Burr Formation in Titanium Alloy, Ti-6AI-4V

    D.A. Dornfeld;J.S. Kim;H. Dechow;J. Hewson

  • Learning and optimization of machining operations using computing abilities of neural networks

    S.S. Rangwala;D.A. Dornfeld

Frequent Co-Authors

Chris Yuan
Chris Yuan Case Western Reserve University
Paul K. Wright
Paul K. Wright University of California, Berkeley
Arpad Horvath
Arpad Horvath University of California, Berkeley
John W. Sutherland
John W. Sutherland Purdue University West Lafayette
Kincho H. Law
Kincho H. Law Stanford University
Sung-Hoon Ahn
Sung-Hoon Ahn Seoul National University
Fritz Klocke
Fritz Klocke RWTH Aachen University
Yuebin Guo
Yuebin Guo Rutgers, The State University of New Jersey
Tarek I. Zohdi
Tarek I. Zohdi University of California, Berkeley
Volker Schulze
Volker Schulze Karlsruhe Institute of Technology

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Related Online Degrees & Career Pathways

Studying Mechanical and Aerospace Engineering in the USA opens doors to various specialized fields, but students often explore related online degrees to expand their career options. Understanding the types of therapist degrees can be useful for those interested in combining engineering with human factors or ergonomic design, enhancing safety and user experience in aerospace systems.

For those looking to fast-track their education, exploring fastest and easiest counseling degree programs can provide alternative or complementary pathways that focus on communication and psychology, both of which are valuable in collaborative engineering environments.

Applying to programs can be complex, so it’s helpful to know how many slp grad schools should I apply to for programs related to speech-language pathology, especially for engineers interested in biomedical applications or human-machine interfaces.

Moreover, students interested in behavior and systems optimization might consider accelerated studies like an accelerated applied behavior analysis masters online, which focuses on behavioral principles that can be applied to improving team dynamics and technology adoption in engineering settings.

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