Amir‐massoud Farahmand

20 papers and 114 indexed citations i.

About

Amir‐massoud Farahmand is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Amir‐massoud Farahmand has authored 20 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 3 papers in Computational Mechanics. Recurrent topics in Amir‐massoud Farahmand’s work include Reinforcement Learning in Robotics (9 papers), Control Systems and Identification (5 papers) and Advanced Control Systems Optimization (5 papers). Amir‐massoud Farahmand is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Control Systems and Identification (5 papers) and Advanced Control Systems Optimization (5 papers). Amir‐massoud Farahmand collaborates with scholars based in United States, Canada and Japan. Amir‐massoud Farahmand's co-authors include Csaba Szepesvári, Mouhacine Benosman, Daniel Nikovski, Meng Xia, Azad Shademan, Mohammad Ghavamzadeh, Martin Jägersand, Kris Kitani, J. Andrew Bagnell and De-An Huang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Amir‐massoud Farahmand i

Fields of papers citing papers by Amir‐massoud Farahmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir‐massoud Farahmand. 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‐massoud Farahmand. The network helps show where Amir‐massoud Farahmand may publish in the future.

Countries citing papers authored by Amir‐massoud Farahmand

Since Specialization
Citations

This map shows the geographic impact of Amir‐massoud Farahmand'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‐massoud Farahmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir‐massoud Farahmand 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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