Warren E. Dixon

17.1k citations
520 papers · 13.2k indexed · 1 hit paper · h-index 59

Impact in

Papers in

Warren E. Dixon

504 papers receiving 12.7k citations

Hit Papers

A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems 2012 · 470 citations
4702012202620162021100200300400

Peers

Warren E. Dixon
Comparison fields: 5 of 143
  • Control and Systems Engineering 7.9k
  • Computational Theory and Mathematics 2.1k
  • Computer Vision and Pattern Recognition 2.6k
  • Aerospace Engineering 2.3k
  • Computer Networks and Communications 2.1k
Replace Chun‐Yi Su with:
Chun‐Yi Su Canada
Zeng‐Guang Hou China
Antonio Bicchi Italy
D.M. Dawson United States
Mark W. Spong United States
Joel W. Burdick United States
Bruno Siciliano Italy
J.-J.E. Slotine United States
Haoyong Yu Singapore
Kok Kiong Tan Singapore
Warren E. Dixon relative to Chun‐Yi Su Canada Chun‐Yi Su's profile →
Citations per field
00.5×1.5×1.9×
Chun‐Yi Su · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Warren E. Dixon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Warren E. Dixon Line = papers co-authored together Warren E. Dixon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20231
5 202315
6 20223
7 202210
8 202134
9 202125
10 202144
11 202024
12 201921
13 201827
14 201814
15 201833
16 201822
17 201824
18 201815
19 2006172
20 20027

About Warren E. Dixon

Warren E. Dixon is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Aerospace Engineering and Media Technology, having authored 520 papers that have together received 13.2k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (153 papers), Advanced Vision and Imaging (89 papers), Muscle activation and electromyography studies (87 papers), Adaptive Dynamic Programming Control (69 papers), Distributed Control Multi-Agent Systems (66 papers), Robotics and Sensor-Based Localization (62 papers), Neuroscience and Neural Engineering (52 papers) and Advanced Control Systems Optimization (43 papers). The work is most often cited by research in Control and Systems Engineering (7.9k citations), Computational Theory and Mathematics (2.1k citations), Computer Vision and Pattern Recognition (2.6k citations), Aerospace Engineering (2.3k citations) and Computer Networks and Communications (2.1k citations). Warren E. Dixon has collaborated with scholars based in United States, India and Japan. Frequent 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. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Control Systems Letters and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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