Amir Riaz
- Environmental Engineering top 1%
- Ocean Engineering top 1%
- Computational Mechanics top 2%
- Mechanical Engineering top 5%
- Mechanics of Materials top 5%
- Co-authors
- Hamdi A. TchelepiYildiray CinarHerbert E. HuppertMarc A. HesseMark A. HallworthJerome A. NeufeldVikrant AuteNils Tilton
- Topics
- Lattice Boltzmann Simulation Studies (14 papers)CO2 Sequestration and Geologic Interactions (13 papers)Enhanced Oil Recovery Techniques (12 papers)
- Partner nations
- United StatesAustraliaPakistan
In The Last Decade
Amir Riaz
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 65
- Environmental Engineering 633
- Ocean Engineering 548
- Computational Mechanics 449
- Mechanical Engineering 416
- Mechanics of Materials 221
Countries citing papers authored by Amir Riaz
This map shows the geographic impact of Amir Riaz'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 Amir Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Riaz more than expected).
Fields of papers citing papers by Amir Riaz
This network shows the impact of papers produced by Amir Riaz. 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 Amir Riaz. The network helps show where Amir Riaz may publish in the future.
Co-authorship network of co-authors of Amir Riaz
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Riaz. A scholar is included among the top collaborators of Amir Riaz 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 Amir Riaz. Amir Riaz 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | Multiscale level-set method for accurate modeling of two-phase immiscible flow with deposited thin-films on solid surfaces | 1 |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 19 | |
| 14 | Linear stability analysis of thin films in wall bounded shear flow | 4 |
| 15 | 303 | |
| 16 | 9 | |
| 17 | 62 | |
| 18 | 5 | |
| 19 | 20 | |
| 20 | Vorticity dynamics of dilute, two-way coupled particle laden mixing layers | 1 |
About Amir Riaz
Amir Riaz is a scholar working on Computational Mechanics, Environmental Engineering and Ocean Engineering, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (14 papers), CO2 Sequestration and Geologic Interactions (13 papers) and Enhanced Oil Recovery Techniques (12 papers). The work is most often cited by research in Environmental Engineering (633 citations), Ocean Engineering (548 citations) and Computational Mechanics (449 citations). Amir Riaz has collaborated with scholars based in United States, Australia and Pakistan. Frequent co-authors include Hamdi A. Tchelepi, Yildiray Cinar, Herbert E. Huppert, Marc A. Hesse, Mark A. Hallworth, Jerome A. Neufeld, Vikrant Aute, Nils Tilton, Elias Balaras and Eckart Meiburg. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Geophysical Research Letters.
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.