Taylor T. Johnson

73 papers and 1.1k indexed citations i.

About

Taylor T. Johnson is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Taylor T. Johnson has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 26 papers in Artificial Intelligence and 23 papers in Computational Theory and Mathematics. Recurrent topics in Taylor T. Johnson’s work include Formal Methods in Verification (21 papers), Adversarial Robustness in Machine Learning (17 papers) and Fault Detection and Control Systems (14 papers). Taylor T. Johnson is often cited by papers focused on Formal Methods in Verification (21 papers), Adversarial Robustness in Machine Learning (17 papers) and Fault Detection and Control Systems (14 papers). Taylor T. Johnson collaborates with scholars based in United States, Germany and United Kingdom. Taylor T. Johnson's co-authors include Weiming Xiang, Hoang-Dung Tran, Omar Ali Beg, Ali Davoudi, Luan Viet Nguyen, Stanley Bak, Joel A. Rosenfeld, Xiaodong Yang, Patrick Musau and Hoang-Dung Tran and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Taylor T. Johnson i

Fields of papers citing papers by Taylor T. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor T. Johnson. 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 Taylor T. Johnson. The network helps show where Taylor T. Johnson may publish in the future.

Countries citing papers authored by Taylor T. Johnson

Since Specialization
Citations

This map shows the geographic impact of Taylor T. Johnson'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 Taylor T. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor T. Johnson 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