Shai Arogeti

50 papers and 628 indexed citations i.

About

Shai Arogeti is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Shai Arogeti has authored 50 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Mechanical Engineering. Recurrent topics in Shai Arogeti’s work include Fault Detection and Control Systems (15 papers), Control and Dynamics of Mobile Robots (13 papers) and Adaptive Control of Nonlinear Systems (11 papers). Shai Arogeti is often cited by papers focused on Fault Detection and Control Systems (15 papers), Control and Dynamics of Mobile Robots (13 papers) and Adaptive Control of Nonlinear Systems (11 papers). Shai Arogeti collaborates with scholars based in Israel, Singapore and Germany. Shai Arogeti's co-authors include Chang Boon Low, Danwei Wang, Amit Ailon, Danwei Wang, N. Berman, Ming Yu, Ming Luo, Reuven Segev, Frank L. Lewis and Xinzheng Zhang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Shai Arogeti i

Fields of papers citing papers by Shai Arogeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shai Arogeti

Since Specialization
Citations

This map shows the geographic impact of Shai Arogeti'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 Shai Arogeti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shai Arogeti 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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2025