2026 Timon Rabczuk: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

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 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.

47 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.

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.

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.

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

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

E. Samaniego;C. Anitescu;S. Goswami;V.M. Nguyen-Thanh

1779
Citations
Cracking particles: A simplified meshfree method for arbitrary evolving cracks

T. Rabczuk;T. Belytschko

1730
Citations
Review: Meshless methods: A review and computer implementation aspects

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

1583
Citations
A three dimensional large deformation meshfree method for arbitrary evolving cracks

T. Rabczuk;T. Belytschko

1248
Citations
A simple and robust three-dimensional cracking-particle method without enrichment

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

954
Citations
Isogeometric analysis: an overview and computer implementation aspects

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

779
Citations
Dual‐horizon peridynamics

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

710
Citations
Artificial neural network methods for the solution of second order boundary value problems

Cosmin Anitescu;Elena Atroshchenko;Naif Alajlan;Timon Rabczuk

655
Citations
Dual-horizon peridynamics: A stable solution to varying horizons

Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Timon Rabczuk

651
Citations
Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles

Bohayra Mortazavi;Brahmanandam Javvaji;Fazel Shojaei;Timon Rabczuk

571
Citations
A computational library for multiscale modeling of material failure

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

562
Citations
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

549
Citations
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

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

520
Citations
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

Hongwei Guo;Xiaoying Zhuang;Timon Rabczuk

506
Citations
Stable particle methods based on Lagrangian kernels

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

498
Citations
A meshfree thin shell method for non‐linear dynamic fracture

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

494
Citations
A two-dimensional Isogeometric Boundary Element Method for elastostatic analysis

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

471
Citations
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

447
Citations
COVID-19 outbreak prediction with machine learning

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

446
Citations
Rotation free isogeometric thin shell analysis using PHT-splines

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

444
Citations
Immersed particle method for fluid–structure interaction

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

430
Citations

Frequent Co-Authors

Xiaoying Zhuang University of Hannover

Stéphane Bordas University of Luxembourg

Pedro M. A. Areias Instituto Superior Técnico

Hung Nguyen-Xuan Ho Chi Minh City University of Technology

Bohayra Mortazavi University of Hannover

Jin-Wu Jiang Shanghai University

Goangseup Zi Korea University

Pierre Kerfriden Cardiff University

Harold S. Park Boston University

Trung Nguyen-Thoi Van Lang University

External Links

Personal website of Timon Rabczuk Google Scholar page

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