Timon Rabczuk
- Mechanics of Materials top 10%
- Computational Mechanics top 10%
- Statistical and Nonlinear Physics top 5%
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Co-authors
- Stéphane BordasPierre KerfridenCosmin AnitescuOlivier GouryMohammad Sadegh EshaghiYizheng WangXiaoying ZhuangSomdatta Goswami
- Topics
- Numerical methods in engineering (5 papers)Model Reduction and Neural Networks (5 papers)Advanced Numerical Analysis Techniques (4 papers)
In The Last Decade
Timon Rabczuk
14 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Mechanics of Materials 175
- Computational Mechanics 124
- Statistical and Nonlinear Physics 103
- Civil and Structural Engineering 89
- Mechanical Engineering 55
Countries citing papers authored by Timon Rabczuk
This map shows the geographic impact of Timon Rabczuk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Timon Rabczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timon Rabczuk more than expected).
Fields of papers citing papers by Timon Rabczuk
This network shows the impact of papers produced by Timon Rabczuk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Timon Rabczuk. The network helps show where Timon Rabczuk may publish in the future.
Co-authorship network of co-authors of Timon Rabczuk
This figure shows the co-authorship network connecting the top 25 collaborators of Timon Rabczuk. A scholar is included among the top collaborators of Timon Rabczuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timon Rabczuk. Timon Rabczuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Variational Physics-informed Neural Operator (VINO) for solving partial differential equationsbreakdown → | 34 |
| 2 | 1 | |
| 3 | 9 | |
| 4 | Kolmogorov–Arnold-Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networksbreakdown → | 53 |
| 5 | 22 | |
| 6 | 14 | |
| 7 | 21 | |
| 8 | 50 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 32 | |
| 13 | 110 | |
| 14 | 21 |
About Timon Rabczuk
Timon Rabczuk is a scholar working on Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Numerical methods in engineering (5 papers), Model Reduction and Neural Networks (5 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (103 citations), Mechanics of Materials (175 citations) and Computational Mechanics (124 citations). Timon Rabczuk has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Stéphane Bordas, Pierre Kerfriden, Cosmin Anitescu, Olivier Goury, Mohammad Sadegh Eshaghi, Yizheng Wang, Xiaoying Zhuang, Somdatta Goswami, Vinh Phu Nguyen and Jinshuai Bai. Their work appears in journals such as International Journal of Heat and Mass Transfer, Computer Methods in Applied Mechanics and Engineering and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.