F. L. Lewis
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Rafael FierroAli DavoudiAli BidramRastko R. ŠelmićJúlio César Costa CamposS. JagannathanSesh CommuriLixin Wang
- Topics
- Adaptive Control of Nonlinear Systems (3 papers)Control and Dynamics of Mobile Robots (2 papers)Advanced Control Systems Optimization (1 paper)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionEnergy Engineering and Power Technology
- Journals
- IEEE Control SystemsJournal of Intelligent & Robotic SystemsSociety for Industrial and Applied Mathematics eBooks
- Partner nations
- United StatesIranHong Kong
In The Last Decade
F. L. Lewis
7 papers receiving 856 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 753
- Computer Vision and Pattern Recognition 256
- Electrical and Electronic Engineering 216
- Biomedical Engineering 180
- Computer Networks and Communications 144
Countries citing papers authored by F. L. Lewis
This map shows the geographic impact of F. L. Lewis'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 F. L. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. L. Lewis more than expected).
Fields of papers citing papers by F. L. Lewis
This network shows the impact of papers produced by F. L. Lewis. 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 F. L. Lewis. The network helps show where F. L. Lewis may publish in the future.
Co-authorship network of co-authors of F. L. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of F. L. Lewis. A scholar is included among the top collaborators of F. L. Lewis 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 F. L. Lewis. F. L. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 258 | |
| 2 | 200 | |
| 3 | 343 | |
| 4 | 9 | |
| 5 | 32 | |
| 6 | 40 | |
| 7 | 10 |
About F. L. Lewis
F. L. Lewis is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 892 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (3 papers), Control and Dynamics of Mobile Robots (2 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Control and Systems Engineering (753 citations), Computer Vision and Pattern Recognition (256 citations) and Energy Engineering and Power Technology (20 citations). F. L. Lewis has collaborated with scholars based in United States, Iran and Hong Kong. Frequent co-authors include Rafael Fierro, Ali Davoudi, Ali Bidram, Rastko R. Šelmić, Júlio César Costa Campos, S. Jagannathan, Sesh Commuri, Lixin Wang and K. Liu. Their work appears in journals such as IEEE Control Systems, Journal of Intelligent & Robotic Systems and Society for Industrial and Applied Mathematics eBooks.
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.