D-Index & Metrics Best Publications
Dimitri Debruyne

Dimitri Debruyne

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 3,460 124 World Ranking 4907 National Ranking 65

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Composite material
  • Mechanical engineering

His main research concerns Digital image correlation, Finite element method, Deformation, Displacement and Mathematical analysis. His Digital image correlation research incorporates elements of Image resolution, Relaxation, Degrees of freedom, Dependency and Speckle pattern. Finite element method is a subfield of Structural engineering that Dimitri Debruyne tackles.

His Deformation research integrates issues from Image, Digital image and Interpolation. His studies deal with areas such as Geometry and Material properties as well as Mathematical analysis. His Tensile testing research also works with subjects such as

  • Hardening that intertwine with fields like Sheet metal, Necking, Deep drawing, Inverse problem and Biaxial tensile test,
  • Strain hardening exponent, which have a strong connection to Yield surface and Calculus.

His most cited work include:

  • A(e,e'p) reactions at GeV energies (148 citations)
  • Assessment of measuring errors in DIC using deformation fields generated by plastic FEA (141 citations)
  • Identification of Mechanical Material Behavior Through Inverse Modeling and DIC (103 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Digital image correlation, Finite element method, Structural engineering, Composite material and Sheet metal. The Digital image correlation study combines topics in areas such as Displacement, Tensile testing, Speckle pattern, Artificial intelligence and Algorithm. His Displacement study combines topics in areas such as Focus, Optics, Accuracy and precision, Interpolation and Transformation.

The concepts of his Finite element method study are interwoven with issues in Ultimate tensile strength, Mechanical engineering, Hardening, Deformation and Anisotropy. His research in Structural engineering intersects with topics in Shear, Material properties, Welding and Strain hardening exponent. His work deals with themes such as Deep drawing and Shear, which intersect with Sheet metal.

He most often published in these fields:

  • Digital image correlation (51.56%)
  • Finite element method (45.31%)
  • Structural engineering (37.50%)

What were the highlights of his more recent work (between 2016-2021)?

  • Structural engineering (37.50%)
  • Digital image correlation (51.56%)
  • Finite element method (45.31%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Structural engineering, Digital image correlation, Finite element method, Strain hardening exponent and Composite material. His Structural engineering research is multidisciplinary, incorporating perspectives in Material properties and Welding. His study in Digital image correlation is interdisciplinary in nature, drawing from both Uncertainty quantification, Simulation, Artificial intelligence, Algorithm and Calibration.

His Finite element method research is multidisciplinary, incorporating elements of Ultimate tensile strength, Displacement, Fracture and Anisotropy. His Displacement research includes themes of Yield surface, Surface, Rigid body and Optics. His research integrates issues of Sheet metal, Residual deflection, Electromagnetic coil and Necking in his study of Strain hardening exponent.

Between 2016 and 2021, his most popular works were:

  • Investigations on the fretting fatigue failure mechanism of bolted joints in high strength steel subjected to different levels of pre-tension (25 citations)
  • Stereo-DIC Uncertainty Quantification based on Simulated Images (22 citations)
  • Stereo-DIC Calibration and Speckle Image Generator Based on FE Formulations (22 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Composite material
  • Mechanical engineering

His primary areas of study are Digital image correlation, Structural engineering, Ultimate tensile strength, Finite element method and Sheet metal. His biological study spans a wide range of topics, including Solid mechanics, Displacement field, Uncertainty quantification, Algorithm and Speckle pattern. Within one scientific family, Dimitri Debruyne focuses on topics pertaining to Welding under Structural engineering, and may sometimes address concerns connected to Surface finish, Yield, Mechanism, High strength steel and Pre tension.

His Ultimate tensile strength study combines topics from a wide range of disciplines, such as Strain hardening exponent, Necking and Anisotropy. The various areas that he examines in his Necking study include Smoothing and Fracture. His research in Sheet metal focuses on subjects like Biaxial tensile test, which are connected to Hardening, Plasticity, Cruciform, Physical test and Extrapolation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A(e,e'p) reactions at GeV energies

Dimitri Debruyne;Jan Ryckebusch.
Nuclear Physics (2002)

228 Citations

Assessment of measuring errors in DIC using deformation fields generated by plastic FEA

P. Lava;S. Cooreman;S. Coppieters;M. De Strycker.
Optics and Lasers in Engineering (2009)

209 Citations

Kaon photoproduction: Background contributions, form factors, and missing resonances

Stijn Janssen;Jan Ryckebusch;Dimitri Debruyne;Tim Van Cauteren.
Physical Review C (2001)

186 Citations

Identification of Mechanical Material Behavior Through Inverse Modeling and DIC

Steven Cooreman;D Lecompte;H Sol;Johnny Vantomme.
Experimental Mechanics (2008)

172 Citations

Precise determination of the Poisson ratio in soft materials with 2D digital image correlation

Robyn H. Pritchard;Pascal Lava;Dimitri Debruyne;Eugene M. Terentjev.
Soft Matter (2013)

166 Citations

Study of systematic errors in strain fields obtained via DIC using heterogeneous deformation generated by plastic FEA

Pascal Lava;Steven Cooreman;Dimitri Debruyne;Dimitri Debruyne.
Optics and Lasers in Engineering (2010)

130 Citations

Elasto-plastic material parameter identification by inverse methods: Calculation of the sensitivity matrix

Steven Cooreman;David Lecompte;Hugo Sol;John Vantomme.
International Journal of Solids and Structures (2007)

122 Citations

Identification of the post-necking hardening behaviour of sheet metal by comparison of the internal and external work in the necking zone

S. Coppieters;S. Cooreman;H. Sol;P. Van Houtte.
Journal of Materials Processing Technology (2011)

117 Citations

Relativistic formulation of Glauber theory for A(e,e′p) reactions

J Ryckebusch;Dimitri Debruyne;Pascal Lava;S Janssen.
Nuclear Physics (2003)

101 Citations

Meson and isobar degrees of freedom in A ( e → , e ′ p → ) reactions at 0.2 Q 2 0.8 ( GeV / c ) 2

Jan Ryckebusch;Dimitri Debruyne;Wim Van Nespen;Stijn Janssen.
Physical Review C (1999)

88 Citations

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