Noel E. Du Toit
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Topics
- Robotic Path Planning Algorithms (5 papers)AI-based Problem Solving and Planning (4 papers)Underwater Vehicles and Communication Systems (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringControl and Systems Engineering
- Journals
- IEEE Transactions on RoboticsCaltechAUTHORS (California Institute of Technology)2013 OCEANS - San Diego
- Partner nations
- United States
In The Last Decade
Noel E. Du Toit
8 papers receiving 360 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 241
- Control and Systems Engineering 142
- Aerospace Engineering 107
- Artificial Intelligence 92
- Automotive Engineering 90
Countries citing papers authored by Noel E. Du Toit
This map shows the geographic impact of Noel E. Du Toit'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 Noel E. Du Toit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel E. Du Toit more than expected).
Fields of papers citing papers by Noel E. Du Toit
This network shows the impact of papers produced by Noel E. Du Toit. 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 Noel E. Du Toit. The network helps show where Noel E. Du Toit may publish in the future.
Co-authorship network of co-authors of Noel E. Du Toit
This figure shows the co-authorship network connecting the top 25 collaborators of Noel E. Du Toit. A scholar is included among the top collaborators of Noel E. Du Toit 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 Noel E. Du Toit. Noel E. Du Toit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | Diver relative AUV navigation for joint human-robot operations | 5 |
| 4 | Real-time dynamic model learning and adaptation for Underwater Vehicles | 6 |
| 5 | 207 | |
| 6 | 84 | |
| 7 | 62 | |
| 8 | 6 |
About Noel E. Du Toit
Noel E. Du Toit is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Artificial Intelligence, having authored 8 papers that have together received 378 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), AI-based Problem Solving and Planning (4 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Automotive Engineering (90 citations) and Control and Systems Engineering (142 citations). Noel E. Du Toit has collaborated with scholars based in United States. Frequent co-authors include Joel W. Burdick, Richard M. Murray, Tichakorn Wongpiromsarn, Kevin J. DeMarco and Ayanna Howard. Their work appears in journals such as IEEE Transactions on Robotics, CaltechAUTHORS (California Institute of Technology) and 2013 OCEANS - San Diego.
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.