René L. Schilling
- Finance top 0.5%
- Mathematical Physics top 1%
- Applied Mathematics top 0.5%
- Modeling and Simulation top 1%
- Computational Theory and Mathematics top 2%
- Co-authors
- Zoran VondračekRenming SongBjörn BöttcherNiels JacobVictoria KnopovaWalter FarkasMark M. MeerschaertToshihiro Uemura
- Topics
- Stochastic processes and financial applications (44 papers)Stochastic processes and statistical mechanics (30 papers)advanced mathematical theories (16 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaRadiology
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
René L. Schilling
97 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 135
- Finance 936
- Mathematical Physics 838
- Applied Mathematics 779
- Modeling and Simulation 335
- Computational Theory and Mathematics 311
Countries citing papers authored by René L. Schilling
This map shows the geographic impact of René L. Schilling'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 René L. Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René L. Schilling more than expected).
Fields of papers citing papers by René L. Schilling
This network shows the impact of papers produced by René L. Schilling. 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 René L. Schilling. The network helps show where René L. Schilling may publish in the future.
Co-authorship network of co-authors of René L. Schilling
This figure shows the co-authorship network connecting the top 25 collaborators of René L. Schilling. A scholar is included among the top collaborators of René L. Schilling 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 René L. Schilling. René L. Schilling 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 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | Detecting independence of random vectors II. Distance multivariance and Gaussian multivariance | 2 |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 57 | |
| 13 | 20 | |
| 14 | 6 | |
| 15 | 28 | |
| 16 | 18 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 20 |
About René L. Schilling
René L. Schilling is a scholar working on Mathematical Physics, Finance and Applied Mathematics, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (44 papers), Stochastic processes and statistical mechanics (30 papers) and advanced mathematical theories (16 papers). The work is most often cited by research in Mathematical Physics (838 citations), Finance (936 citations) and Applied Mathematics (779 citations). René L. Schilling has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Zoran Vondraček, Renming Song, Björn Böttcher, Niels Jacob, Victoria Knopova, Walter Farkas, Mark M. Meerschaert, Toshihiro Uemura, Franziska Kühn and Alla Sikorskii. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Radiology.
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.