Gabe Sibley
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering
- Geology top 2%
- Artificial Intelligence top 10%
- Co-authors
- Christopher MeiPaul NewmanIan ReidPaul FurgaleTimothy D. BarfootGaurav S. SukhatmeLarry MatthiesMark Cummins
- Topics
- Robotics and Sensor-Based Localization (22 papers)Advanced Vision and Imaging (13 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Journals
- International Journal of Computer VisionThe International Journal of Robotics ResearchIEEE Control Systems
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Gabe Sibley
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 51
- Aerospace Engineering 1.1k
- Computer Vision and Pattern Recognition 930
- Electrical and Electronic Engineering 284
- Geology 228
- Artificial Intelligence 101
Countries citing papers authored by Gabe Sibley
This map shows the geographic impact of Gabe Sibley'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 Gabe Sibley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabe Sibley more than expected).
Fields of papers citing papers by Gabe Sibley
This network shows the impact of papers produced by Gabe Sibley. 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 Gabe Sibley. The network helps show where Gabe Sibley may publish in the future.
Co-authorship network of co-authors of Gabe Sibley
This figure shows the co-authorship network connecting the top 25 collaborators of Gabe Sibley. A scholar is included among the top collaborators of Gabe Sibley 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 Gabe Sibley. Gabe Sibley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | 16 | |
| 5 | 50 | |
| 6 | 18 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 73 | |
| 10 | 2 | |
| 11 | 177 | |
| 12 | Taking the Long View: A Report on Two Recent Workshops on Long-Term Autonomy | 1 |
| 13 | 1 | |
| 14 | 127 | |
| 15 | 44 | |
| 16 | 16 | |
| 17 | 80 | |
| 18 | A Sliding Window Filter for SLAM | 5 |
| 19 | Sliding Window Filters for SLAM | 7 |
| 20 | Bias Reduction and Filter Convergence for Long Range Stereo | 4 |
About Gabe Sibley
Gabe Sibley is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (930 citations), Aerospace Engineering (1.1k citations) and Geology (228 citations). Gabe Sibley has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christopher Mei, Paul Newman, Ian Reid, Paul Furgale, Timothy D. Barfoot, Gaurav S. Sukhatme, Larry Matthies, Mark Cummins, Steven Lovegrove and Liz Murphy. Their work appears in journals such as International Journal of Computer Vision, The International Journal of Robotics Research and IEEE Control Systems.
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.