Ibrahim Ekren
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Finance 8
- Stochastic processes and financial applications 8
- Financial Risk and Volatility Modeling 2
-
- Nonlinear Partial Differential Equations 5
- Navier-Stokes equation solutions 2
- Co-authors
- Nizar Touzi (3 shared papers)Jianfeng Zhang (2 shared papers)Jianfeng Zhang (1 shared paper)Erhan Bayraktar (6 shared papers)Xin Zhang (4 shared papers)Yili Zhang (1 shared paper)
- Journals
- The Annals of Probability (2 papers)Communications in Partial Differential Equations (2 papers)The Annals of Applied Probability (2 papers)Stochastic Processes and their Applications (1 paper)Proceedings of the American Mathematical Society (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Ibrahim Ekren
9 papers receiving 191 citations
Peers
Comparison fields: 5 of 28
- Finance 172
- Modeling and Simulation 53
- Applied Mathematics 50
- Management Science and Operations Research 50
- Mathematical Physics 34
Countries citing papers authored by Ibrahim Ekren
This map shows the geographic impact of Ibrahim Ekren'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 Ibrahim Ekren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Ekren more than expected).
Fields of papers citing papers by Ibrahim Ekren
This network shows the impact of papers produced by Ibrahim Ekren. 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 Ibrahim Ekren. The network helps show where Ibrahim Ekren may publish in the future.
Co-authors
The 7 scholars most cited alongside Ibrahim Ekren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2016 | 70 | |
| 3 | 2014 | 32 | |
| 4 | 2016 | 10 | |
| 5 | 2020 | 5 | |
| 6 | 2025 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2018 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About Ibrahim Ekren
Ibrahim Ekren is a scholar working on Finance, Applied Mathematics, Economics and Econometrics, Management Science and Operations Research and Mathematical Physics, having authored 12 papers that have together received 216 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Nonlinear Partial Differential Equations (5 papers), Machine Learning and Algorithms (2 papers), Economic theories and models (2 papers), Navier-Stokes equation solutions (2 papers), Advanced Bandit Algorithms Research (2 papers), Financial Risk and Volatility Modeling (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Finance (172 citations), Modeling and Simulation (53 citations), Applied Mathematics (50 citations), Management Science and Operations Research (50 citations) and Mathematical Physics (34 citations). Ibrahim Ekren has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Nizar Touzi, Jianfeng Zhang, Jianfeng Zhang, Jianfeng Zhang, Erhan Bayraktar, Xin Zhang and Yili Zhang. Their work appears in journals such as The Annals of Probability, Communications in Partial Differential Equations, The Annals of Applied Probability, Stochastic Processes and their Applications and Proceedings of the American Mathematical Society.
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.