Mohammad Shoeybi

29 papers and 756 indexed citations i.

About

Mohammad Shoeybi is a scholar working on Artificial Intelligence, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Mohammad Shoeybi has authored 29 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Mohammad Shoeybi’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Mohammad Shoeybi is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Mohammad Shoeybi collaborates with scholars based in United States, Hong Kong and United Kingdom. Mohammad Shoeybi's co-authors include Parviz Moin, Mostofa Patwary, Bryan Catanzaro, Sanjiva K. Lele, Simon Mendez, Magnus Svärd, Raul Puri, Ken Mattsson, Frank Ham and Matei Zaharia and has published in prestigious journals such as Journal of Computational Physics, AIAA Journal and Nonlinear Dynamics.

In The Last Decade

Co-authorship network of co-authors of Mohammad Shoeybi i

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.

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).

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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