Mahyar Fazlyab

About

Mahyar Fazlyab is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Mahyar Fazlyab has authored 32 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Mahyar Fazlyab’s work include Adversarial Robustness in Machine Learning (11 papers), Fault Detection and Control Systems (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Mahyar Fazlyab is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Fault Detection and Control Systems (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Mahyar Fazlyab collaborates with scholars based in United States, Iran and Slovakia. Mahyar Fazlyab's co-authors include Manfred Morari, George J. Pappas, Víctor M. Preciado, Alejandro Ribeiro, Santiago Paternain, Hassan Salarieh, Aria Alasty, Haimin Hu, Alexander Robey and Hamed Hassani and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and SIAM Journal on Optimization.

In The Last Decade

Co-authorship network of co-authors of Mahyar Fazlyab i

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Fields of papers citing papers by Mahyar Fazlyab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahyar Fazlyab. 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 Mahyar Fazlyab. The network helps show where Mahyar Fazlyab may publish in the future.

Countries citing papers authored by Mahyar Fazlyab

Since Specialization

Citations

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