Warren E. Dixon

17.1k total citations · 1 hit paper
520 papers, 13.2k citations indexed

About

Warren E. Dixon is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Warren E. Dixon has authored 520 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 256 papers in Control and Systems Engineering, 118 papers in Computer Vision and Pattern Recognition and 111 papers in Biomedical Engineering. Recurrent topics in Warren E. Dixon's work include Adaptive Control of Nonlinear Systems (153 papers), Advanced Vision and Imaging (89 papers) and Muscle activation and electromyography studies (87 papers). Warren E. Dixon is often cited by papers focused on Adaptive Control of Nonlinear Systems (153 papers), Advanced Vision and Imaging (89 papers) and Muscle activation and electromyography studies (87 papers). Warren E. Dixon collaborates with scholars based in United States, India and Japan. Warren E. Dixon's co-authors include D.M. Dawson, Rushikesh Kamalapurkar, Erkan Zergeroğlu, Shubhendu Bhasin, William MacKunis, Aman Behal, Guoqiang Hu, P. M. Patre, Zhen Kan and Nitin Sharma and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Automatica.

In The Last Decade

Warren E. Dixon

504 papers receiving 12.7k citations

Hit Papers

align trajectories

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.

A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems

2012 470 citations Rushikesh Kamalapurkar, Warren E. Dixon et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Warren E. Dixon United States	59	7.9k	2.6k	2.5k	2.3k	2.1k	520	13.2k
Chun‐Yi Su Canada	69	12.6k 1.6×	1.4k 0.5×	2.8k 1.1×	1.9k 0.8×	1.3k 0.6×	503	16.8k
Joel W. Burdick United States	62	5.1k 0.6×	3.0k 1.1×	4.6k 1.9×	2.7k 1.2×	372 0.2×	341	13.1k
Zeng‐Guang Hou China	54	4.1k 0.5×	1.7k 0.6×	2.1k 0.9×	890 0.4×	560 0.3×	430	10.4k
Jay A. Farrell United States	49	4.8k 0.6×	964 0.4×	806 0.3×	2.9k 1.3×	925 0.4×	249	10.5k
Antonio Bicchi Italy	63	10.8k 1.4×	2.5k 1.0×	10.7k 4.4×	1.3k 0.6×	493 0.2×	540	18.9k
D.M. Dawson United States	55	10.2k 1.3×	2.0k 0.8×	1.9k 0.8×	1.9k 0.8×	636 0.3×	369	13.1k
Lei Guo China	54	11.2k 1.4×	525 0.2×	641 0.3×	2.8k 1.2×	1.2k 0.6×	490	14.9k
J.-J.E. Slotine United States	38	7.9k 1.0×	957 0.4×	1.4k 0.6×	867 0.4×	665 0.3×	84	10.4k
Raffaello D’Andrea Switzerland	53	5.8k 0.7×	3.2k 1.2×	941 0.4×	3.2k 1.4×	547 0.3×	249	10.1k
Mark W. Spong United States	65	16.7k 2.1×	2.4k 0.9×	6.0k 2.4×	2.0k 0.9×	599 0.3×	263	23.9k

Countries citing papers authored by Warren E. Dixon

Since Specialization

Citations

This map shows the geographic impact of Warren E. Dixon'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 Warren E. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren E. Dixon more than expected).

Fields of papers citing papers by Warren E. Dixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren E. Dixon. 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 Warren E. Dixon. The network helps show where Warren E. Dixon may publish in the future.

Co-authorship network of co-authors of Warren E. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Warren E. Dixon. A scholar is included among the top collaborators of Warren E. Dixon 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 Warren E. Dixon. Warren E. Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Patil, Omkar Sudhir, Rushikesh Kamalapurkar, & Warren E. Dixon. (2025). Saturated RISE Controllers With Exponential Stability Guarantees: A Projected Dynamical Systems Approach. IEEE Transactions on Automatic Control. 70(7). 4936–4942.

Dani, Ashwin P., et al.. (2024). Switching of Asymptotically Stable and Uniformly Ultimately Bounded Systems With Applications to Machine Vision. IEEE Transactions on Automatic Control. 69(9). 6246–6252.

Stiller, Peter F., et al.. (2023). Plug-and-Play Cooperative Navigation: From Single-Agent Navigation Fields to Graph- Maintaining Distributed MAS Controllers. IEEE Transactions on Automatic Control. 69(8). 5262–5277.

Patil, Omkar Sudhir, et al.. (2023). Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities. IEEE Control Systems Letters. 7. 3663–3668. 1 indexed citations

Patil, Omkar Sudhir, et al.. (2023). Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control. IEEE Control Systems Letters. 7. 2976–2981. 15 indexed citations

Dixon, Warren E., et al.. (2022). Robust Cadence and Power Tracking on a Switched FES Cycle With an Unknown Electromechanical Delay. IEEE Transactions on Control Systems Technology. 31(1). 451–458. 3 indexed citations

Dixon, Warren E., et al.. (2022). Data-Based and Opportunistic Integral Concurrent Learning for Adaptive Trajectory Tracking During Switched FES-Induced Biceps Curls. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2557–2566. 10 indexed citations

Dixon, Warren E., et al.. (2021). Real-Time Modular Deep Neural Network-Based Adaptive Control of Nonlinear Systems. IEEE Control Systems Letters. 6. 476–481. 34 indexed citations

Shea, John M., et al.. (2021). Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries. IEEE Transactions on Automatic Control. 67(3). 1356–1370. 25 indexed citations

10.

Patil, Omkar Sudhir, et al.. (2021). Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network. IEEE Control Systems Letters. 6. 1855–1860. 44 indexed citations

11.

Dixon, Warren E., et al.. (2020). Sparse Learning-Based Approximate Dynamic Programming With Barrier Constraints. IEEE Control Systems Letters. 4(3). 743–748. 24 indexed citations

12.

Cousin, Christian A., et al.. (2019). Closed-Loop Cadence and Instantaneous Power Control on a Motorized Functional Electrical Stimulation Cycle. IEEE Transactions on Control Systems Technology. 28(6). 2276–2291. 21 indexed citations

13.

Parikh, Anup, Rushikesh Kamalapurkar, & Warren E. Dixon. (2018). Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning. IEEE Transactions on Robotics. 34(3). 805–819. 27 indexed citations

14.

Rosenfeld, Joel A., Rushikesh Kamalapurkar, & Warren E. Dixon. (2018). The State Following Approximation Method. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1716–1730. 14 indexed citations

15.

Bell, Zachary I., et al.. (2018). Global Exponential Tracking Control for an Autonomous Surface Vessel: An Integral Concurrent Learning Approach. IEEE Journal of Oceanic Engineering. 45(2). 362–370. 33 indexed citations

16.

Kan, Zhen, Emily A. Doucette, & Warren E. Dixon. (2018). Distributed Connectivity Preserving Target Tracking With Random Sensing. IEEE Transactions on Automatic Control. 64(5). 2166–2173. 22 indexed citations

17.

Duenas, Victor H., et al.. (2018). Passivity-Based Iterative Learning Control for Cycling Induced by Functional Electrical Stimulation With Electric Motor Assistance. IEEE Transactions on Control Systems Technology. 27(5). 2287–2294. 24 indexed citations

18.

Duenas, Victor H., et al.. (2018). Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling. IEEE Transactions on Cybernetics. 50(3). 1084–1095. 15 indexed citations

19.

Makkar, C., Warren E. Dixon, W. Gregory Sawyer, & Guoqiang Hu. (2006). A new continuously differentiable friction model for control systems design. 600–605. 172 indexed citations

20.

Chen, J., Warren E. Dixon, John R. Wagner, & D.M. Dawson. (2002). Exponential Tracking Control of a Hydraulic Proportional Directional Valve and Cylinder via Integrator Backstepping. Dynamic Systems and Control. 895–906. 7 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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