Rudolf Scherer
- Modeling and Simulation top 1%
- Numerical Analysis top 5%
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Applied Mathematics top 5%
- Co-authors
- S. L. KallaJianfei HuangYifa TangBader Al-SaqabiJialin HongLijin WangYushun WangMengzhao Qin
- Topics
- Numerical methods for differential equations (13 papers)Matrix Theory and Algorithms (8 papers)Differential Equations and Numerical Methods (5 papers)
In The Last Decade
Rudolf Scherer
22 papers receiving 534 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 291
- Numerical Analysis 212
- Statistical and Nonlinear Physics 118
- Control and Systems Engineering 100
- Applied Mathematics 88
Countries citing papers authored by Rudolf Scherer
This map shows the geographic impact of Rudolf Scherer'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 Rudolf Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Scherer more than expected).
Fields of papers citing papers by Rudolf Scherer
This network shows the impact of papers produced by Rudolf Scherer. 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 Rudolf Scherer. The network helps show where Rudolf Scherer may publish in the future.
Co-authorship network of co-authors of Rudolf Scherer
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Scherer. A scholar is included among the top collaborators of Rudolf Scherer 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 Rudolf Scherer. Rudolf Scherer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | The Grünwald–Letnikov method for fractional differential equationsbreakdown → | 341 |
| 3 | Symplectic Numerical Methods for a Linear Stochastic Oscillator with Two Additive Noises | 2 |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 23 | |
| 7 | 57 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | REDUCIBILITY AND CHARACTERIZATION OF SYMPLECTIC RUNGE{KUTTA METHODS | 6 |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 1 |
About Rudolf Scherer
Rudolf Scherer is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 25 papers that have together received 570 indexed citations. Recurring topics across this work include Numerical methods for differential equations (13 papers), Matrix Theory and Algorithms (8 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Modeling and Simulation (291 citations), Numerical Analysis (212 citations) and Statistical and Nonlinear Physics (118 citations). Rudolf Scherer has collaborated with scholars based in Germany, China and Bulgaria. Frequent co-authors include S. L. Kalla, Jianfei Huang, Yifa Tang, Bader Al-Saqabi, Jialin Hong, Lijin Wang, Yushun Wang, Mengzhao Qin, Lijin Wang and Yun Tang. Their work appears in journals such as IEEE Transactions on Automatic Control, Physics Letters A and SIAM Journal on Numerical Analysis.
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.