Salah-Eldin A. Mohammed
- Finance top 2%
- Stochastic processes and financial applications 21
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth 6
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals 8
- Stochastic processes and statistical mechanics 6
- Applied Mathematics top 5%
- Numerical Analysis top 10%
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- Stability and Controllability of Differential Equations 8
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- Quantum chaos and dynamical systems 5
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- Fluid Dynamics and Turbulent Flows 3
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- Advanced Mathematical Modeling in Engineering 3
- Co-authors
- Michael ScheutzowYaozhong HuTusheng ZhangGyula PapHuaizhong ZhaoFrank ProskeRachel KuskeEvelyn Buckwar
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Salah-Eldin A. Mohammed
26 papers receiving 549 citations
Peers
Comparison fields: 5 of 45
- Finance 443
- Modeling and Simulation 81
- Mathematical Physics 127
- Applied Mathematics 123
- Numerical Analysis 58
Countries citing papers authored by Salah-Eldin A. Mohammed
This map shows the geographic impact of Salah-Eldin A. Mohammed'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 Salah-Eldin A. Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salah-Eldin A. Mohammed more than expected).
Fields of papers citing papers by Salah-Eldin A. Mohammed
This network shows the impact of papers produced by Salah-Eldin A. Mohammed. 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 Salah-Eldin A. Mohammed. The network helps show where Salah-Eldin A. Mohammed may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Salah-Eldin A. Mohammed, 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 | 2018 | 0 | |
| 2 | 2018 | 2 | |
| 3 | 2013 | 6 | |
| 4 | Sobolev Differentiable Stochastic Flows of SDE`s with Measurable Drift and Applications | 2012 | 6 |
| 5 | 2011 | 1 | |
| 6 | 2008 | 59 | |
| 7 | 2008 | 16 | |
| 8 | 2007 | 2 | |
| 9 | 2005 | 1 | |
| 10 | 2004 | 85 | |
| 11 | 2003 | 32 | |
| 12 | 2003 | 19 | |
| 13 | Discrete-time Approximations of Stochastic Differential Systems with Memory | 2001 | 2 |
| 14 | 2001 | 4 | |
| 15 | 1997 | 36 | |
| 16 | Lyapunov exponents of linear stochastic functional differential equations driven by semimartingales. Part I : the multiplicative ergodic theory | 1996 | 22 |
| 17 | 1995 | 13 | |
| 18 | 1995 | 17 | |
| 19 | 1991 | 20 | |
| 20 | 1986 | 6 |
About Salah-Eldin A. Mohammed
Salah-Eldin A. Mohammed is a scholar working on Finance, Mathematical Physics and Modeling and Simulation, having authored 28 papers that have together received 620 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Stability and Controllability of Differential Equations (8 papers), Mathematical Dynamics and Fractals (8 papers), Mathematical Biology Tumor Growth (6 papers), Stochastic processes and statistical mechanics (6 papers), Quantum chaos and dynamical systems (5 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Finance (443 citations), Modeling and Simulation (81 citations) and Mathematical Physics (127 citations). Salah-Eldin A. Mohammed has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael Scheutzow, Yaozhong Hu, Tusheng Zhang, Gyula Pap, Huaizhong Zhao, Frank Proske, Rachel Kuske, Evelyn Buckwar, Tony Shardlow and Rémi Léandre.
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.