Johannes Schropp
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Molecular Biology
- Materials Chemistry
- Oncology
- Co-authors
- Gilbert KochGëzim LahuAntje‐Christine WalzIvan SingerWilliam J. JuskoErich BohlW. DieterichPhilipp Maass
- Topics
- Numerical methods for differential equations (12 papers)Receptor Mechanisms and Signaling (9 papers)Differential Equations and Numerical Methods (6 papers)
- Journals
- Computer Physics CommunicationsJournal of Theoretical BiologySIAM Journal on Numerical Analysis
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Johannes Schropp
38 papers receiving 504 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 134
- Numerical Analysis 118
- Molecular Biology 117
- Materials Chemistry 82
- Oncology 82
Countries citing papers authored by Johannes Schropp
This map shows the geographic impact of Johannes Schropp'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 Johannes Schropp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Schropp more than expected).
Fields of papers citing papers by Johannes Schropp
This network shows the impact of papers produced by Johannes Schropp. 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 Johannes Schropp. The network helps show where Johannes Schropp may publish in the future.
Co-authorship network of co-authors of Johannes Schropp
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Schropp. A scholar is included among the top collaborators of Johannes Schropp 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 Johannes Schropp. Johannes Schropp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 27 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 89 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 2 |
About Johannes Schropp
Johannes Schropp is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 43 papers that have together received 526 indexed citations. Recurring topics across this work include Numerical methods for differential equations (12 papers), Receptor Mechanisms and Signaling (9 papers) and Differential Equations and Numerical Methods (6 papers). The work is most often cited by research in Numerical Analysis (118 citations), Modeling and Simulation (57 citations) and Computational Theory and Mathematics (134 citations). Johannes Schropp has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gilbert Koch, Gëzim Lahu, Antje‐Christine Walz, Ivan Singer, William J. Jusko, Erich Bohl, W. Dieterich, Philipp Maass, Bernd Rinn and Dhaval K. Shah. Their work appears in journals such as Computer Physics Communications, Journal of Theoretical Biology 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.