Matthew Brown
- Automotive Engineering top 1%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Co-authors
- J. Christian GerdesStephen M. ErlienJoseph FunkeNitin R. KapaniaEvan Chang-SiuMasayoshi TomizukaThomas LibbyRobert J. Full
- Topics
- Vehicle Dynamics and Control Systems (12 papers)Real-time simulation and control systems (8 papers)Autonomous Vehicle Technology and Safety (5 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Control Systems TechnologyScience RoboticsControl Engineering Practice
- Partner nations
- United StatesSwitzerlandSaudi Arabia
In The Last Decade
Matthew Brown
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Automotive Engineering 763
- Control and Systems Engineering 627
- Computer Vision and Pattern Recognition 249
- Mechanical Engineering 176
- Biomedical Engineering 74
Countries citing papers authored by Matthew Brown
This map shows the geographic impact of Matthew 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 Matthew Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brown more than expected).
Fields of papers citing papers by Matthew Brown
This network shows the impact of papers produced by Matthew 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 Matthew Brown. The network helps show where Matthew Brown may publish in the future.
Co-authorship network of co-authors of Matthew Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Brown. A scholar is included among the top collaborators of Matthew 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 Matthew Brown. Matthew 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 | 7 | |
| 2 | 2 | |
| 3 | 71 | |
| 4 | 2 | |
| 5 | 69 | |
| 6 | 174 | |
| 7 | 255 | |
| 8 | 322 | |
| 9 | 45 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 47 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | Appraisal Guide for Microfinance Institutions | 8 |
| 18 | Age-Related Changes in Detecting Unexpected Air Traffic and Instrument Malfunctions | 3 |
| 19 | An Analysis Of The Capabilities Of Fuzzy PID Controllers | 2 |
| 20 | Neurofuzzy high-dimensional modelling | 2 |
About Matthew Brown
Matthew Brown is a scholar working on Automotive Engineering, Control and Systems Engineering and Business and International Management, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (12 papers), Real-time simulation and control systems (8 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Automotive Engineering (763 citations), Control and Systems Engineering (627 citations) and Computer Vision and Pattern Recognition (249 citations). Matthew Brown has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include J. Christian Gerdes, Stephen M. Erlien, Joseph Funke, Nitin R. Kapania, Evan Chang-Siu, Masayoshi Tomizuka, Thomas Libby, Robert J. Full, John M. Talbot and Manuel Ahumada. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Science Robotics and Control Engineering Practice.
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.