Mohammad Shoeybi
- Computational Mechanics top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering top 10%
- Co-authors
- Parviz MoinSimon MendezSanjiva K. LeleMagnus SvärdKen MattssonFrank HamMostofa PatwaryRaul Puri
- Topics
- Fluid Dynamics and Turbulent Flows (11 papers)Aerodynamics and Acoustics in Jet Flows (9 papers)Topic Modeling (7 papers)
- Partner nations
- United StatesHong KongNorway
In The Last Decade
Mohammad Shoeybi
27 papers receiving 628 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computational Mechanics 318
- Aerospace Engineering 246
- Artificial Intelligence 193
- Computer Vision and Pattern Recognition 72
- Environmental Engineering 71
Countries citing papers authored by Mohammad Shoeybi
This map shows the geographic impact of Mohammad Shoeybi'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 Shoeybi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shoeybi more than expected).
Fields of papers citing papers by Mohammad Shoeybi
This network shows the impact of papers produced by Mohammad Shoeybi. 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 Shoeybi. The network helps show where Mohammad Shoeybi may publish in the future.
Co-authorship network of co-authors of Mohammad Shoeybi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shoeybi. A scholar is included among the top collaborators of Mohammad Shoeybi 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 Shoeybi. Mohammad Shoeybi 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 | 0 | |
| 3 | VILA: On Pre-training for Visual Language Modelsbreakdown → | 63 |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 68 | |
| 12 | 62 | |
| 13 | Deep Voice: Real-time Neural Text-to-Speech | 39 |
| 14 | 111 | |
| 15 | 40 | |
| 16 | 6 | |
| 17 | 19 | |
| 18 | A Hybrid Method for Unsteady Fluid Flow | 5 |
| 19 | Numerical investigation and preliminary modeling of a turbulent flow over a multi-perforated plate | 8 |
| 20 | 2 |
About Mohammad Shoeybi
Mohammad Shoeybi is a scholar working on Computational Mechanics, Aerospace Engineering and Artificial Intelligence, having authored 29 papers that have together received 659 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (11 papers), Aerodynamics and Acoustics in Jet Flows (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computational Mechanics (318 citations), Health Informatics (15 citations) and Aerospace Engineering (246 citations). Mohammad Shoeybi has collaborated with scholars based in United States, Hong Kong and Norway. Frequent co-authors include Parviz Moin, Simon Mendez, Sanjiva K. Lele, Magnus Svärd, Ken Mattsson, Frank Ham, Mostofa Patwary, Raul Puri, Bryan Catanzaro and Hongxu Yin. Their work appears in journals such as Journal of Computational Physics, AIAA Journal and Nonlinear Dynamics.
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.