Parviz Merati
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering
- Co-authors
- Tianshu LiuJavier MontefortRobert L. PhillipsLarry E. JacobsLixin ShenR. J. AdrianCharles G. DavisHui Hu
- Topics
- Fluid Dynamics and Turbulent Flows (12 papers)Aerodynamics and Acoustics in Jet Flows (7 papers)Fluid Dynamics and Vibration Analysis (7 papers)
- Partner nations
- United StatesPolandJordan
In The Last Decade
Parviz Merati
29 papers receiving 437 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 265
- Aerospace Engineering 146
- Mechanical Engineering 136
- Computer Vision and Pattern Recognition 88
- Environmental Engineering 58
Countries citing papers authored by Parviz Merati
This map shows the geographic impact of Parviz Merati'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 Parviz Merati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parviz Merati more than expected).
Fields of papers citing papers by Parviz Merati
This network shows the impact of papers produced by Parviz Merati. 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 Parviz Merati. The network helps show where Parviz Merati may publish in the future.
Co-authorship network of co-authors of Parviz Merati
This figure shows the co-authorship network connecting the top 25 collaborators of Parviz Merati. A scholar is included among the top collaborators of Parviz Merati 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 Parviz Merati. Parviz Merati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | Experimental Simulation of Buoyancy-Driven Vortical Flow in Jupiter Great Red Spot | 4 |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 14 | |
| 9 | 70 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 38 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | DIRECTIONAL SENSITIVITY OF SINGLE AND MULTIPLE SENSOR PROBES. | 10 |
| 19 | 28 | |
| 20 | DIRECTIONAL SENSITIVITY OF HOT WIRE PROBES. | 1 |
About Parviz Merati
Parviz Merati is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering, having authored 30 papers that have together received 468 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (12 papers), Aerodynamics and Acoustics in Jet Flows (7 papers) and Fluid Dynamics and Vibration Analysis (7 papers). The work is most often cited by research in Computational Mechanics (265 citations), Aerospace Engineering (146 citations) and Computer Vision and Pattern Recognition (88 citations). Parviz Merati has collaborated with scholars based in United States, Poland and Jordan. Frequent co-authors include Tianshu Liu, Javier Montefort, Tianshu Liu, Robert L. Phillips, Larry E. Jacobs, Lixin Shen, R. J. Adrian, Charles G. Davis, Hui Hu and Barclay G. Jones. Their work appears in journals such as AIAA Journal, Physics of Fluids and Journal of Heat Transfer.
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.