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Mechanical and Aerospace Engineering
Germany
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 132 11 10 1 1 913 65071

Timon Rabczuk publications per year

The chart shows the history of publications by Timon Rabczuk between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Timon Rabczuk published across 23 years, from 2003 to 2025, averaging 45.8 papers a year. Output peaked at 117 publications in 2020. 164 of the 1,054 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 117. Peak 117 publications in 2020. 2003: 3 publications 2004: 6 publications 2005: 2 publications 2006: 5 publications 2007: 15 publications 2008: 15 publications 2009: 13 publications 2010: 20 publications 2011: 20 publications 2012: 30 publications 2013: 40 publications 2014: 41 publications 2015: 53 publications 2016: 56 publications 2017: 60 publications 2018: 82 publications 2019: 105 publications 2020: 117 publications 2021: 75 publications 2022: 56 publications 2023: 76 publications 2024: 91 publications 2025: 73 publications
2003 2025

1,054 publications in total across all disciplines

View publications per year as a table
Timon Rabczuk: publications per year, 2003 to 2025
Year Publications
2003 3
2004 6
2005 2
2006 5
2007 15
2008 15
2009 13
2010 20
2011 20
2012 30
2013 40
2014 41
2015 53
2016 56
2017 60
2018 82
2019 105
2020 117
2021 75
2022 56
2023 76
2024 91
2025 73
Total 1,054
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Timon Rabczuk 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 Timon Rabczuk sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 659+ publications, is where this scientist sits. 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
47–56 publications 659+

This scientist: 913 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100 913
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Timon Rabczuk 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 Timon Rabczuk sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 93+ D-Index, is where this scientist sits. 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: 132 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100 132
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Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2023 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2022 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award

Overview

Timon Rabczuk is affiliated with Bauhaus University, Weimar in Germany and specializes in engineering research. Their publication record includes significant contributions to the field of mechanics of materials, with a breadth of work spanning over 796 publications focused primarily on engineering.

The main subfields addressed in their research encompass:

  • Mechanics of Materials
  • Materials Chemistry
  • Civil and Structural Engineering
  • Computational Mechanics
  • Biomedical Engineering

The research topics covered by Timon Rabczuk include:

  • Numerical methods in engineering
  • Composite Structure Analysis and Optimization
  • Advanced Numerical Analysis Techniques
  • Nonlocal and gradient elasticity in micro/nano structures
  • Model Reduction and Neural Networks
  • Graphene research and applications
  • Advanced Numerical Methods in Computational Mathematics

Among the recent papers published by Timon Rabczuk are:

  • "An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications" (2020), published in Computer Methods in Applied Mechanics and Engineering
  • "Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles" (2020), published in Nano Energy
  • "Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning" (2021), published in European Journal of Mechanics - A/Solids
  • "COVID-19 Outbreak Prediction with Machine Learning" (2020), published in Algorithms
  • "First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials" (2021), published in Advanced Materials

Timon Rabczuk has collaborated frequently with several researchers, including:

  • Xiaoying Zhuang
  • Huilong Ren
  • Cosmin Anitescu
  • Bohayra Mortazavi
  • Yabin Jin

The scientist's work appears most regularly in these publication venues:

  • Computer Methods in Applied Mechanics and Engineering
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Composite Structures
  • Frontiers of Structural and Civil Engineering

Additionally, Timon Rabczuk has contributed to book literature, including a title published by Springer Nature:

  • Computational Methods Based on Peridynamics and Nonlocal Operators (2023)

Best Publications

  • Cracking particles: A simplified meshfree method for arbitrary evolving cracks

    T. Rabczuk;T. Belytschko

  • Review: Meshless methods: A review and computer implementation aspects

    Vinh Phu Nguyen;Timon Rabczuk;Stéphane Bordas;Marc Duflot

  • A three dimensional large deformation meshfree method for arbitrary evolving cracks

    T. Rabczuk;T. Belytschko

  • A simple and robust three-dimensional cracking-particle method without enrichment

    Timon Rabczuk;Goangseup Zi;Stephane Bordas;Hung Nguyen-Xuan

  • Isogeometric analysis: an overview and computer implementation aspects

    Vinh Phu Nguyen;Cosmin Anitescu;Stephane Pierre Alain Bordas;Timon Rabczuk

  • Dual‐horizon peridynamics

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Yongchang Cai;Yongchang Cai;Timon Rabczuk;Timon Rabczuk

  • Artificial neural network methods for the solution of second order boundary value problems

    Cosmin Anitescu;Elena Atroshchenko;Naif Alajlan;Timon Rabczuk

  • Dual-horizon peridynamics: A stable solution to varying horizons

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Timon Rabczuk

  • A computational library for multiscale modeling of material failure

    Hossein Talebi;Mohammad Silani;Stephane Pierre Alain Bordas;Pierre Kerfriden

  • State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

    Amir Mosavi;Amir Mosavi;Amir Mosavi;Mohsen Salimi;Sina Faizollahzadeh Ardabili;Timon Rabczuk

  • Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

    Somdatta Goswami;Cosmin Anitescu;Souvik Chakraborty;Souvik Chakraborty;Timon Rabczuk

  • A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

    Hongwei Guo;Xiaoying Zhuang;Timon Rabczuk

  • Stable particle methods based on Lagrangian kernels

    T. Rabczuk;T. Belytschko;S.P. Xiao

  • A meshfree thin shell method for non‐linear dynamic fracture

    T. Rabczuk;P. M. A. Areias;T. Belytschko

  • A two-dimensional Isogeometric Boundary Element Method for elastostatic analysis

    Robert Napier Simpson;Stephane Pierre Alain Bordas;J. Trevelyan;T. Rabczuk

  • Molecular dynamics simulations of single-layer molybdenum disulphide (MoS2): Stillinger-Weber parametrization, mechanical properties, and thermal conductivity

    Jin Wu Jiang;Harold S. Park;Timon Rabczuk

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • Rotation free isogeometric thin shell analysis using PHT-splines

    N. Nguyen-Thanh;J. Kiendl;H. Nguyen-Xuan;R. Wüchner

  • Immersed particle method for fluid–structure interaction

    Timon Rabczuk;Robert Gracie;Jeong Hoon Song;Ted Belytschko

Frequent Co-Authors

Xiaoying Zhuang
Xiaoying Zhuang University of Hannover
Stéphane Bordas
Stéphane Bordas University of Luxembourg
Pedro M. A. Areias
Pedro M. A. Areias Instituto Superior Técnico
Hung Nguyen-Xuan
Hung Nguyen-Xuan Ho Chi Minh City University of Technology
Bohayra Mortazavi
Bohayra Mortazavi University of Hannover
Jin-Wu Jiang
Jin-Wu Jiang Shanghai University
Goangseup Zi
Goangseup Zi Korea University
Pierre Kerfriden
Pierre Kerfriden Cardiff University
Harold S. Park
Harold S. Park Boston University
Trung Nguyen-Thoi
Trung Nguyen-Thoi Van Lang University

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