Aurel Răşcanu
- Finance top 1%
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 5%
- Mathematical Physics top 5%
- Co-authors
- David NualartÉtienne PardouxAlain BensoussanRoland GlowinskiRainer BuckdahnMarc QuincampoixCatherine RainerH. J. Engelbert
- Topics
- Stochastic processes and financial applications (16 papers)Advanced Mathematical Modeling in Engineering (13 papers)Nonlinear Partial Differential Equations (12 papers)
In The Last Decade
Aurel Răşcanu
32 papers receiving 773 citations
Peers
Comparison fields: 5 of 48
- Finance 632
- Applied Mathematics 319
- Computational Theory and Mathematics 223
- Control and Systems Engineering 190
- Mathematical Physics 174
Countries citing papers authored by Aurel Răşcanu
This map shows the geographic impact of Aurel Răşcanu'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 Aurel Răşcanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurel Răşcanu more than expected).
Fields of papers citing papers by Aurel Răşcanu
This network shows the impact of papers produced by Aurel Răşcanu. 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 Aurel Răşcanu. The network helps show where Aurel Răşcanu may publish in the future.
Co-authorship network of co-authors of Aurel Răşcanu
This figure shows the co-authorship network connecting the top 25 collaborators of Aurel Răşcanu. A scholar is included among the top collaborators of Aurel Răşcanu 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 Aurel Răşcanu. Aurel Răşcanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 142 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | Backward stochastic variational inequalities under weak assumptions on the data | 2 |
| 11 | 7 | |
| 12 | Differential equations driven by fractional Brownian motion | 250 |
| 13 | 12 | |
| 14 | 48 | |
| 15 | 5 | |
| 16 | 32 | |
| 17 | 48 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 17 |
About Aurel Răşcanu
Aurel Răşcanu is a scholar working on Applied Mathematics, Finance and Mathematical Physics, having authored 32 papers that have together received 842 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (16 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Nonlinear Partial Differential Equations (12 papers). The work is most often cited by research in Finance (632 citations), Applied Mathematics (319 citations) and Modeling and Simulation (106 citations). Aurel Răşcanu has collaborated with scholars based in Romania, France and China. Frequent co-authors include David Nualart, Étienne Pardoux, Alain Bensoussan, Roland Glowinski, Rainer Buckdahn, Marc Quincampoix, Catherine Rainer, H. J. Engelbert, Viorel Barbu and Leszek Słomiński. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and SIAM Journal on Control and Optimization.
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.