Travis Dierks

2.5k total citations · 1 hit paper
40 papers, 2.0k citations indexed

About

Travis Dierks is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Travis Dierks has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 23 papers in Computational Theory and Mathematics and 20 papers in Computer Networks and Communications. Recurrent topics in Travis Dierks's work include Adaptive Control of Nonlinear Systems (29 papers), Adaptive Dynamic Programming Control (23 papers) and Distributed Control Multi-Agent Systems (20 papers). Travis Dierks is often cited by papers focused on Adaptive Control of Nonlinear Systems (29 papers), Adaptive Dynamic Programming Control (23 papers) and Distributed Control Multi-Agent Systems (20 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, Hao Xu, Qiming Zhao and Avimanyu Sahoo 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

Travis Dierks

40 papers receiving 1.9k citations

Hit Papers

Output Feedback Control of a Quadrotor UAV Using Neural N... 2009 2026 2014 2020 2009 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Output Feedback Control of a Quadrotor UAV Using Neural Networks
    2009 450 citations Travis Dierks, S. Jagannathan IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Travis Dierks United States 19 1.5k 1.0k 528 447 315 40 2.0k
Lu Dong China 19 782 0.5× 520 0.5× 266 0.5× 432 1.0× 199 0.6× 75 1.5k
Eng Hock Tay Singapore 6 2.1k 1.4× 630 0.6× 436 0.8× 138 0.3× 279 0.9× 11 2.3k
Rushikesh Kamalapurkar United States 20 1.3k 0.9× 1.2k 1.2× 152 0.3× 711 1.6× 117 0.4× 72 2.0k
Zong‐Yao Sun China 32 3.3k 2.3× 900 0.9× 645 1.2× 200 0.4× 511 1.6× 163 3.7k
Shubhendu Bhasin India 22 1.4k 1.0× 961 0.9× 202 0.4× 493 1.1× 121 0.4× 96 2.0k
Jin‐Xi Zhang China 23 1.6k 1.1× 364 0.4× 439 0.8× 163 0.4× 127 0.4× 86 1.9k
Dong‐Juan Li China 18 1.9k 1.3× 894 0.9× 530 1.0× 312 0.7× 126 0.4× 38 2.2k
Junyong Zhai China 29 2.4k 1.7× 367 0.4× 516 1.0× 80 0.2× 313 1.0× 147 2.6k
Guanyu Lai China 27 1.8k 1.3× 674 0.7× 696 1.3× 189 0.4× 151 0.5× 83 2.1k
Seong-Ik Han South Korea 20 1.2k 0.9× 235 0.2× 256 0.5× 203 0.5× 141 0.4× 75 1.5k

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).

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.

Co-authorship network of co-authors of Travis Dierks

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Dierks. A scholar is included among the top collaborators of Travis Dierks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Travis Dierks. Travis Dierks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dierks, Travis, et al.. (2018). Modified Consensus-based Output Feedback Control of Quadrotor UAV Formations Using Neural Networks. Journal of Intelligent & Robotic Systems. 94(1). 283–300. 38 indexed citations
2.
Dierks, Travis, et al.. (2017). Hybrid Consensus-based Control of Nonholonomic Mobile Robot Formation. Journal of Intelligent & Robotic Systems. 88(1). 181–200. 13 indexed citations
3.
Zargarzadeh, Hassan, Travis Dierks, & S. Jagannathan. (2013). Adaptive neural network‐based optimal control of nonlinear continuous‐time systems in strict‐feedback form. International Journal of Adaptive Control and Signal Processing. 28(3-5). 305–324. 49 indexed citations
4.
Zhao, Qiming, Hao Xu, Travis Dierks, & S. Jagannathan. (2013). Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. 48. 1–6. 5 indexed citations
5.
Dierks, Travis & S. Jagannathan. (2012). A self-tuning optimal controller for affine nonlinear continuous-time systems with unknown internal dynamics. 5392–5397. 5 indexed citations
6.
Zargarzadeh, Hassan, Travis Dierks, & S. Jagannathan. (2012). State and output feedback-based adaptive optimal control of nonlinear continuous-time systems in strict feedback form. 6412–6417. 6 indexed citations
7.
Mehraeen, Shahab, Travis Dierks, S. Jagannathan, & Mariesa L. Crow. (2012). Zero-Sum Two-Player Game Theoretic Formulation of Affine Nonlinear Discrete-Time Systems Using Neural Networks. IEEE Transactions on Cybernetics. 43(6). 1641–1655. 52 indexed citations
8.
Thumati, Balaje T., Travis Dierks, & S. Jagannathan. (2011). A model-based fault tolerant control design for nonholonomic mobile robots in formation. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 9(1). 17–31. 15 indexed citations
9.
Dierks, Travis, et al.. (2011). Near optimal control of mobile robot formations. 14. 234–241. 3 indexed citations
10.
Thumati, Balaje T., Travis Dierks, & S. Jagannathan. (2010). Fault tolerant formation control of nonholonomic mobile robots using online approximators. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7692. 76920U–76920U. 1 indexed citations
11.
Dierks, Travis, Balaje T. Thumati, & S. Jagannathan. (2009). Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence. Neural Networks. 22(5-6). 851–860. 140 indexed citations
12.
Dierks, Travis & S. Jagannathan. (2009). Output Feedback Control of a Quadrotor UAV Using Neural Networks. IEEE Transactions on Neural Networks. 21(1). 50–66. 450 indexed citations breakdown →
13.
Dierks, Travis & S. Jagannathan. (2009). Neural network control of quadrotor UAV formations. 2990–2996. 46 indexed citations
14.
Dierks, Travis & S. Jagannathan. (2009). Neural Network Output Feedback Control of Robot Formations. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(2). 383–399. 72 indexed citations
15.
Jagannathan, S. & Travis Dierks. (2009). Formation control of mobile robots and unmanned aerial vehicles. 1 indexed citations
16.
Dierks, Travis, Balaje T. Thumati, & S. Jagannathan. (2009). Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. 711–716. 7 indexed citations
17.
Dierks, Travis & S. Jagannathan. (2008). Neural Network Control of Mobile Robot Formations Using RISE Feedback. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(2). 332–347. 98 indexed citations
18.
Dierks, Travis & S. Jagannathan. (2007). Neural Network Control of Robot Formations using RISE Feedback. IEEE International Conference on Neural Networks. 2794–2799. 1 indexed citations
19.
Dierks, Travis. (2007). Nonlinear control of nonholonomic mobile robot formations. 1 indexed citations
20.
Dierks, Travis & S. Jagannathan. (2007). Control of Nonholonomic Mobile Robot Formations Using Neural Networks. 132–137. 10 indexed citations

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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