Karel Van Bockstal
- Modeling and Simulation top 2%
- Mathematical Physics top 5%
- Mechanics of Materials top 10%
- Numerical Analysis top 5%
- Applied Mathematics top 5%
- Co-authors
- Marián SlodičkaAhmed S. HendyMahmoud A. ZakyRob De StaelenLiviu MarinDurvudkhan SuraganÉric SoccorsiYavar Kian
- Topics
- Numerical methods in inverse problems (20 papers)Fractional Differential Equations Solutions (14 papers)Numerical methods in engineering (13 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- BelgiumUnited StatesEgypt
In The Last Decade
Karel Van Bockstal
36 papers receiving 260 citations
Peers
Comparison fields: 5 of 32
- Modeling and Simulation 148
- Mathematical Physics 137
- Mechanics of Materials 112
- Numerical Analysis 95
- Applied Mathematics 63
Countries citing papers authored by Karel Van Bockstal
This map shows the geographic impact of Karel Van Bockstal'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 Karel Van Bockstal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karel Van Bockstal more than expected).
Fields of papers citing papers by Karel Van Bockstal
This network shows the impact of papers produced by Karel Van Bockstal. 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 Karel Van Bockstal. The network helps show where Karel Van Bockstal may publish in the future.
Co-authorship network of co-authors of Karel Van Bockstal
This figure shows the co-authorship network connecting the top 25 collaborators of Karel Van Bockstal. A scholar is included among the top collaborators of Karel Van Bockstal 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 Karel Van Bockstal. Karel Van Bockstal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 31 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 6 |
About Karel Van Bockstal
Karel Van Bockstal is a scholar working on Modeling and Simulation, Mathematical Physics and Numerical Analysis, having authored 37 papers that have together received 272 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (20 papers), Fractional Differential Equations Solutions (14 papers) and Numerical methods in engineering (13 papers). The work is most often cited by research in Modeling and Simulation (148 citations), Numerical Analysis (95 citations) and Mathematical Physics (137 citations). Karel Van Bockstal has collaborated with scholars based in Belgium, United States and Egypt. Frequent co-authors include Marián Slodička, Ahmed S. Hendy, Mahmoud A. Zaky, Rob De Staelen, Liviu Marin, Durvudkhan Suragan, Éric Soccorsi, Yavar Kian and Ran Wang. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.