Travis Dierks

About

Travis Dierks is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Travis Dierks has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 15 papers in Computer Networks and Communications and 15 papers in Computational Theory and Mathematics. Recurrent topics in Travis Dierks’s work include Adaptive Control of Nonlinear Systems (21 papers), Adaptive Dynamic Programming Control (15 papers) and Distributed Multi-Agent Coordination and Control (15 papers). Travis Dierks is often cited by papers focused on Adaptive Control of Nonlinear Systems (21 papers), Adaptive Dynamic Programming Control (15 papers) and Distributed Multi-Agent Coordination and Control (15 papers). Travis Dierks collaborates with scholars based in United States and Türkiye. Travis Dierks's co-authors include S. Jagannathan, S. Jagannathan, Hassan Zargarzadeh, Balaje T. Thumati, Shahab Mehraeen, Mariesa L. Crow, L. Acar, Qiming Zhao, Hao Xu and Suresh Jagannathan and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Travis Dierks i

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Fields of papers citing papers by Travis Dierks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Travis Dierks

Since Specialization

Citations

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