Jeffrey Byrne
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Mechanical Engineering
- Co-authors
- R.A. JarvisS. YutaAlex ZelinskyR.К. MehraS. SeereeramHuili YuCamillo J. TaylorRandy Beard
- Topics
- Robotics and Sensor-Based Localization (10 papers)Robotic Path Planning Algorithms (8 papers)Advanced Vision and Imaging (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- Control Engineering Practice2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)AIAA Guidance, Navigation, and Control Conference
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Jeffrey Byrne
18 papers receiving 476 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 384
- Aerospace Engineering 351
- Computer Networks and Communications 80
- Control and Systems Engineering 61
- Mechanical Engineering 44
Countries citing papers authored by Jeffrey Byrne
This map shows the geographic impact of Jeffrey Byrne'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 Jeffrey Byrne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Byrne more than expected).
Fields of papers citing papers by Jeffrey Byrne
This network shows the impact of papers produced by Jeffrey Byrne. 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 Jeffrey Byrne. The network helps show where Jeffrey Byrne may publish in the future.
Co-authorship network of co-authors of Jeffrey Byrne
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Byrne. A scholar is included among the top collaborators of Jeffrey Byrne 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 Jeffrey Byrne. Jeffrey Byrne 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 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 29 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | Planning Paths of Complete Coverage of an Unstructured Environment by a Mobile Robot | 199 |
| 15 | 35 | |
| 16 | 93 | |
| 17 | 1 | |
| 18 | Precise Image Segmentation for Forest Inventory | 8 |
| 19 | An automated guided vehicle with map building and path finding capabilities | 26 |
About Jeffrey Byrne
Jeffrey Byrne is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 502 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (8 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Aerospace Engineering (351 citations) and Computer Networks and Communications (80 citations). Jeffrey Byrne has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include R.A. Jarvis, S. Yuta, Alex Zelinsky, R.К. Mehra, S. Seereeram, Huili Yu, Camillo J. Taylor, Randy Beard, Randal W. Beard and Jeffery Saunders. Their work appears in journals such as Control Engineering Practice, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and AIAA Guidance, Navigation, and Control Conference.
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.