World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
40
Citations
5239
World Ranking
2059
National Ranking
70

Bernard Rolfe 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 Bernard Rolfe 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: 114 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: 61 scientists 317–326 publications: 69 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: 282 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Bernard Rolfe 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 Bernard Rolfe 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: 125 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 106 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: 99 scientists
30 D-Index 93+

This scientist: 40 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Bernard Rolfe is affiliated with Deakin University in Australia and has produced extensive research primarily within the field of Engineering. Their work spans multiple subfields with a significant focus on Mechanical Engineering, Mechanics of Materials, Automotive Engineering, Civil and Structural Engineering, and Biomedical Engineering.

Their research interests prominently feature several main topics related to manufacturing and materials, including:

  • Metal Forming Simulation Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Metallurgy and Material Forming
  • Additive Manufacturing Materials and Processes
  • Topology Optimization in Engineering
  • Manufacturing Process and Optimization
  • Advanced Materials and Mechanics

Bernard Rolfe has contributed scholarly articles to a range of publication venues, with frequent contributions to:

  • The International Journal of Advanced Manufacturing Technology
  • Rapid Prototyping Journal
  • IOP Conference Series Materials Science and Engineering
  • Journal of Materials Processing Technology
  • SSRN Electronic Journal

Selected recent papers illustrate the scope and focus of their research, including:

  • "Additive manufacturing a powerful tool for the aerospace industry" (2021), published in Rapid Prototyping Journal
  • "A review of laser engineered net shaping (LENS) build and process parameters of metallic parts" (2020), published in Rapid Prototyping Journal
  • "4D printing soft robots guided by machine learning and finite element models" (2021), published in Sensors and Actuators A Physical
  • "The effect of absorption ratio on meltpool features in laser-based powder bed fusion of IN718" (2022), published in Optics & Laser Technology
  • "A review of Industry 4.0 and additive manufacturing synergy" (2022), published in Rapid Prototyping Journal

The scientist has collaborated often with several coauthors whose names recur frequently in their publications. These include:

  • Matthias Weiß
  • Ali Zolfagharian
  • Ian Gibson
  • Buddhika Abeyrathna
  • Mahyar Khorasani

Bernard Rolfe's research covers both experimental and computational techniques aimed at advancing manufacturing technologies and materials engineering. Their work explores both fundamental material behaviors and the integration of emerging technologies such as machine learning within manufacturing processes.

Best Publications

  • Additive manufacturing a powerful tool for the aerospace industry

    Mahyar Khorasani;Amir Hossein Ghasemi;Bernard Rolfe;Ian Gibson

  • The effect of absorption ratio on meltpool features in laser-based powder bed fusion of IN718

    Unknown

  • Contact pressure evolution and its relation to wear in sheet metal forming

    Michael P Pereira;Wenyi Yan;Bernard Frank Rolfe

  • A review of laser engineered net shaping (LENS) build and process parameters of metallic parts

    Mojtaba Izadi;Aidin Farzaneh;Mazher Mohammed;Ian Gibson

  • Product defect compensation by robust optimization of a cold roll forming process

    J.H. Wiebenga;M. Weiss;B. Rolfe;A.H. van den Boogaard

  • A review of Industry 4.0 and additive manufacturing synergy

    Unknown

  • 4D Printing Soft Robots Guided by Machine Learning and Finite Element Models

    Ali Zolfagharian;Lorena Durran;Saleh Gharaie;Bernard Rolfe

  • The effect of sliding speed on the wear of steel-tool steel pairs

    Paul C. Okonkwo;Georgina Kelly;Bernard F. Rolfe;Michael P. Pereira

  • Laser subtractive and laser powder bed fusion of metals: review of process and production features

    Unknown

  • The influence of residual stress on a roll forming process

    A. Abvabi;B. Rolfe;P.D. Hodgson;M. Weiss

  • Forming of high strength titanium sheet at room temperature

    Ossama Mamdouh Badr;Bernard Rolfe;Peter Hodgson;Matthias Weiss

  • Statistical analysis of finite element modeling in sheet metal forming and springback analysis

    S.A. Asgari;M. Pereira;B.F. Rolfe;M. Dingle

  • Sliding distance, contact pressure and wear in sheet metal stamping

    Michael P. Pereira;Wenyi Yan;Bernard F. Rolfe

  • Multivariate modelling of variability in sheet metal forming

    T. de Souza;B. Rolfe

  • Characterization of microstructures and tensile properties of TRIP-aided steels with different matrix microstructure

    Chao Wang;Hua Ding;Minghui Cai;Bernard Rolfe

  • 3D-Printed Programmable Mechanical Metamaterials for Vibration Isolation and Buckling Control

    Unknown

  • The effect of temperature on sliding wear of steel-tool steel pairs

    Paul C. Okonkwo;Georgina Kelly;Bernard F. Rolfe;Michael P. Pereira

  • Contact pressure evolution at the die radius in sheet metal stamping

    Michael P Pereira;John L Duncan;Wenyi Yan;Bernard Frank Rolfe

  • Theoretical study on the {1¯012} deformation twinning and cracking in coarse-grained magnesium alloys

    C. Xie;C. Xie;C. Xie;Q.H. Fang;X. Liu;P.C. Guo

  • SEMDOT: Smooth-edged material distribution for optimizing topology algorithm

    Yun Fei Fu;Bernard Rolfe;Louis~N N.S. Chiu;Yanan Wang

  • The influence of temperature on the forming behavior of metal/polymer laminates in sheet metal forming

    M. Weiss;Matthew Dingle;Bernard Rolfe;Peter Hodgson

  • Constitutive analysis of hot deformation behavior of a Ti6Al4V alloy using physical based model

    Paul M. Souza;Hossein Beladi;Rajkumar Singh;Bernard Rolfe

  • Modeling of Advanced High Strength Steels with the realistic microstructure―strength relationships

    S.A. Asgari;P.D. Hodgson;C. Yang;B.F. Rolfe

  • Audio signal analysis for tool wear monitoring in sheet metal stamping

    Indivarie Ubhayaratne;Michael P. Pereira;Yong Xiang;Bernard F. Rolfe

  • The effect of the die radius profile accuracy on wear in sheet metal stamping

    Michael P. Pereira;Matthias Weiss;Bernard F. Rolfe;Tim B. Hilditch

Frequent Co-Authors

Peter Hodgson
Peter Hodgson Deakin University
Wenyi Yan
Wenyi Yan Monash University
Hossein Beladi
Hossein Beladi Deakin University
Geoff West
Geoff West Curtin University
Ian Gibson
Ian Gibson University of Twente
Xiaodong Huang
Xiaodong Huang Swinburne University of Technology
Hua Ding
Hua Ding Northeastern University
Geoffrey I. Webb
Geoffrey I. Webb Monash University
Yong Xiang
Yong Xiang Deakin University
Qihong Fang
Qihong Fang Hunan University

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Combining engineering with these related disciplines can enhance career versatility and open doors to innovative roles across industries.

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