Ali Kashefi
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Artificial Intelligence
- Ocean Engineering top 10%
- Aerospace Engineering
- Co-authors
- Tapan MukerjiAnne StaplesLeonidas GuibasGoodarz AhmadiMohammad Said SaidiBahar FiroozabadiTobias WartzekSteffen Leonhardt
- Topics
- Model Reduction and Neural Networks (6 papers)Lattice Boltzmann Simulation Studies (5 papers)Fluid Dynamics and Turbulent Flows (3 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringPhysics of Fluids
- Partner nations
- United StatesIranIsrael
In The Last Decade
Ali Kashefi
14 papers receiving 252 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 113
- Computational Mechanics 111
- Artificial Intelligence 49
- Ocean Engineering 44
- Aerospace Engineering 28
Countries citing papers authored by Ali Kashefi
This map shows the geographic impact of Ali Kashefi'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 Ali Kashefi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Kashefi more than expected).
Fields of papers citing papers by Ali Kashefi
This network shows the impact of papers produced by Ali Kashefi. 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 Ali Kashefi. The network helps show where Ali Kashefi may publish in the future.
Co-authorship network of co-authors of Ali Kashefi
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Kashefi. A scholar is included among the top collaborators of Ali Kashefi 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 Ali Kashefi. Ali Kashefi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 54 | |
| 8 | 83 | |
| 9 | 36 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | Automatisierung der extrakorporalen Membranoxygenierung | 1 |
About Ali Kashefi
Ali Kashefi is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 258 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Lattice Boltzmann Simulation Studies (5 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Health Informatics (27 citations), Statistical and Nonlinear Physics (113 citations) and Computational Mechanics (111 citations). Ali Kashefi has collaborated with scholars based in United States, Iran and Israel. Frequent co-authors include Tapan Mukerji, Anne Staples, Leonidas Guibas, Goodarz Ahmadi, Mohammad Said Saidi, Bahar Firoozabadi, Tobias Wartzek, Steffen Leonhardt, Rüdger Kopp and Marian Walter. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Physics of Fluids.
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.