Mohammad Shoeybi

3.0k citations
29 papers · 659 indexed · 1 hit paper · h-index 12
Topics
Fluid Dynamics and Turbulent Flows (11 papers)Aerodynamics and Acoustics in Jet Flows (9 papers)Topic Modeling (7 papers)

In The Last Decade

Mohammad Shoeybi

27 papers receiving 628 citations

Hit Papers

VILA: On Pre-training for Visual Language Models2024202620252024204060

Peers

Mohammad Shoeybi
Comparison fields: 5 of 70
  • Computational Mechanics 318
  • Aerospace Engineering 246
  • Artificial Intelligence 193
  • Computer Vision and Pattern Recognition 72
  • Environmental Engineering 71
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Mohammad Shoeybi relative to Steve Schaffer United States Steve Schaffer's profile →
Citations per field
00.5×10.6×
Steve Schaffer · 1×
Citations per year

Countries citing papers authored by Mohammad Shoeybi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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