Lyndon J. Brown
- Control and Systems Engineering top 5%
- Computational Mechanics top 10%
- Mechanical Engineering
- Cardiology and Cardiovascular Medicine
- Aerospace Engineering top 10%
- Co-authors
- Qing ZhangJ. Kevin ShoemakerAryan SalmanpourSean MeynSatoshi FukumotoY. ZhouHashim A. HashimKenneth McIsaac
- Topics
- Iterative Learning Control Systems (15 papers)Control Systems and Identification (15 papers)Advanced Adaptive Filtering Techniques (14 papers)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Lyndon J. Brown
50 papers receiving 700 citations
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 301
- Computational Mechanics 143
- Mechanical Engineering 136
- Cardiology and Cardiovascular Medicine 131
- Aerospace Engineering 94
Countries citing papers authored by Lyndon J. Brown
This map shows the geographic impact of Lyndon J. Brown'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 Lyndon J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyndon J. Brown more than expected).
Fields of papers citing papers by Lyndon J. Brown
This network shows the impact of papers produced by Lyndon J. Brown. 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 Lyndon J. Brown. The network helps show where Lyndon J. Brown may publish in the future.
Co-authorship network of co-authors of Lyndon J. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Lyndon J. Brown. A scholar is included among the top collaborators of Lyndon J. Brown 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 Lyndon J. Brown. Lyndon J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 58 | |
| 6 | 72 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 60 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | Non-Linear PI Control Inspired by Biological Control Systems | 1 |
| 19 | 7 | |
| 20 | The effects and effectiveness of gamma-hydroxybutyrate in patients with narcolepsy. | 76 |
About Lyndon J. Brown
Lyndon J. Brown is a scholar working on Control and Systems Engineering, Computational Mechanics and Hardware and Architecture, having authored 58 papers that have together received 764 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (15 papers), Control Systems and Identification (15 papers) and Advanced Adaptive Filtering Techniques (14 papers). The work is most often cited by research in Control and Systems Engineering (301 citations), Endocrine and Autonomic Systems (66 citations) and Computational Mechanics (143 citations). Lyndon J. Brown has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Qing Zhang, J. Kevin Shoemaker, Aryan Salmanpour, Qing Zhang, Sean Meyn, Satoshi Fukumoto, Y. Zhou, Hashim A. Hashim, Kenneth McIsaac and Daniel F. Brown. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Neurophysiology and Automatica.
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.