S. Mohammad Hosseini
- Numerical Analysis top 2%
- Modeling and Simulation top 1%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- S. ShahmoradJun WangDirk BlömkerMohammad HeydariMahmoud KeyvanaraMansoor RezghiMajid Soleimani-damanehErika Hausenblas
- Topics
- Fractional Differential Equations Solutions (17 papers)Differential Equations and Numerical Methods (14 papers)Stochastic processes and financial applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingNeural Networks
In The Last Decade
S. Mohammad Hosseini
41 papers receiving 496 citations
Peers
Comparison fields: 5 of 61
- Numerical Analysis 284
- Modeling and Simulation 279
- Applied Mathematics 82
- Computational Theory and Mathematics 77
- Statistical and Nonlinear Physics 72
Countries citing papers authored by S. Mohammad Hosseini
This map shows the geographic impact of S. Mohammad Hosseini'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 S. Mohammad Hosseini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mohammad Hosseini more than expected).
Fields of papers citing papers by S. Mohammad Hosseini
This network shows the impact of papers produced by S. Mohammad Hosseini. 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 S. Mohammad Hosseini. The network helps show where S. Mohammad Hosseini may publish in the future.
Co-authorship network of co-authors of S. Mohammad Hosseini
This figure shows the co-authorship network connecting the top 25 collaborators of S. Mohammad Hosseini. A scholar is included among the top collaborators of S. Mohammad Hosseini 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 S. Mohammad Hosseini. S. Mohammad Hosseini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 27 | |
| 13 | Direct Method to Solve Differential-Algebraic Equations by Using the Operational Matrices of Chebyshev Cardinal Functions | 3 |
| 14 | 60 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 29 | |
| 18 | 4 | |
| 19 | 36 | |
| 20 | 92 |
About S. Mohammad Hosseini
S. Mohammad Hosseini is a scholar working on Numerical Analysis, Modeling and Simulation and Finance, having authored 44 papers that have together received 522 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (17 papers), Differential Equations and Numerical Methods (14 papers) and Stochastic processes and financial applications (10 papers). The work is most often cited by research in Modeling and Simulation (279 citations), Numerical Analysis (284 citations) and Applied Mathematics (82 citations). S. Mohammad Hosseini has collaborated with scholars based in Iran, Canada and Germany. Frequent co-authors include S. Shahmorad, Jun Wang, Dirk Blömker, Mohammad Heydari, Mahmoud Keyvanara, Mansoor Rezghi, Majid Soleimani-damaneh, Erika Hausenblas, Sohrab Ali Yousefi and S. M. Karbassi. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.
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.