Mohammad Shahsavari
- Computational Mechanics top 5%
- Fluid Flow and Transfer Processes top 2%
- Aerospace Engineering top 10%
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Dan ZhaoTao CaiBing WangZhuming RaoMohammad FarshchiMehdi JangiAgustín Valera-MedinaAlexander A. Konnov
- Topics
- Combustion and flame dynamics (16 papers)Advanced Combustion Engine Technologies (16 papers)Fire dynamics and safety research (9 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsSafety, Risk, Reliability and Quality
- Journals
- Journal of Fluid MechanicsEnergyFuel
- Partner nations
- ChinaIranUnited Kingdom
In The Last Decade
Mohammad Shahsavari
21 papers receiving 458 citations
Peers
Comparison fields: 5 of 34
- Computational Mechanics 307
- Fluid Flow and Transfer Processes 265
- Aerospace Engineering 145
- Materials Chemistry 100
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Mohammad Shahsavari
This map shows the geographic impact of Mohammad Shahsavari'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 Mohammad Shahsavari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shahsavari more than expected).
Fields of papers citing papers by Mohammad Shahsavari
This network shows the impact of papers produced by Mohammad Shahsavari. 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 Mohammad Shahsavari. The network helps show where Mohammad Shahsavari may publish in the future.
Co-authorship network of co-authors of Mohammad Shahsavari
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shahsavari. A scholar is included among the top collaborators of Mohammad Shahsavari 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 Mohammad Shahsavari. Mohammad Shahsavari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 44 | |
| 4 | 27 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 66 | |
| 9 | 3 | |
| 10 | 73 | |
| 11 | 8 | |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 46 | |
| 15 | 21 | |
| 16 | PREDICTION OF NOX EMISSIONS IN AN INDUSTRIAL GAS TURBINE COMBUSTOR USING LARGE EDDY SIMULATION AND REACTOR NETWORK MODELING | 0 |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 12 | |
| 20 | 10 |
About Mohammad Shahsavari
Mohammad Shahsavari is a scholar working on Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality and Computational Mechanics, having authored 23 papers that have together received 468 indexed citations. Recurring topics across this work include Combustion and flame dynamics (16 papers), Advanced Combustion Engine Technologies (16 papers) and Fire dynamics and safety research (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (265 citations), Computational Mechanics (307 citations) and Safety, Risk, Reliability and Quality (61 citations). Mohammad Shahsavari has collaborated with scholars based in China, Iran and United Kingdom. Frequent co-authors include Dan Zhao, Tao Cai, Bing Wang, Zhuming Rao, Mohammad Farshchi, Mehdi Jangi, Agustín Valera-Medina, Alexander A. Konnov, Siew Hwa Chan and B.M. Zhang. Their work appears in journals such as Journal of Fluid Mechanics, Energy and Fuel.
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.