Andrew P. Gee
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Augmented Reality Applications
- Robotic Path Planning Algorithms
Papers in
-
- Robotics and Sensor-Based Localization 9
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- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 2
- Augmented Reality Applications 2
- Co-authors
- Walterio Mayol‐Cuevas (12 shared papers)Andrew Calway (9 shared papers)Denis Chekhlov (2 shared papers)Dima Damen (4 shared papers)Matthew Webb (2 shared papers)Ponciano Jorge Escamilla-Ambrosio (1 shared paper)Markus Miezal (1 shared paper)Gabriele Bleser (1 shared paper)
- Journals
- Computers & Graphics (1 paper)Virtual Reality (1 paper)PLoS ONE (1 paper)Advanced Robotics (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United KingdomBrazilMexico
In The Last Decade
Andrew P. Gee
12 papers receiving 253 citations
Peers
Comparison fields: 5 of 51
- Geology 65
- Computer Vision and Pattern Recognition 210
- Aerospace Engineering 174
- Human-Computer Interaction 34
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Andrew P. Gee
This map shows the geographic impact of Andrew P. Gee'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 Andrew P. Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. Gee more than expected).
Fields of papers citing papers by Andrew P. Gee
This network shows the impact of papers produced by Andrew P. Gee. 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 Andrew P. Gee. The network helps show where Andrew P. Gee may publish in the future.
Co-authors
The 21 scholars most cited alongside Andrew P. Gee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 79 | |
| 2 | 2007 | 66 | |
| 3 | 2015 | 33 | |
| 4 | 2012 | 26 | |
| 5 | 2012 | 18 | |
| 6 | 2010 | 13 | |
| 7 | 2011 | 10 | |
| 8 | 2013 | 9 | |
| 9 | Real-time model-based slam using line segments | 2006 | 5 |
| 10 | 2011 | 3 | |
| 11 | Detecting and Localising Multiple 3D Objects: A Fast and Scalable Approach | 2011 | 3 |
| 12 | IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11) | 2011 | 1 |
About Andrew P. Gee
Andrew P. Gee is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 12 papers that have together received 266 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), 3D Surveying and Cultural Heritage (5 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (2 papers), Augmented Reality Applications (2 papers), Hermeneutics and Narrative Identity (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Geology (65 citations), Computer Vision and Pattern Recognition (210 citations), Aerospace Engineering (174 citations), Human-Computer Interaction (34 citations) and Industrial and Manufacturing Engineering (14 citations). Andrew P. Gee has collaborated with scholars based in United Kingdom, Brazil and Mexico. Frequent co-authors include Walterio Mayol‐Cuevas, Andrew Calway, Denis Chekhlov, Dima Damen, Matthew Webb, Ponciano Jorge Escamilla-Ambrosio, Markus Miezal, Gabriele Bleser, Didier Stricker and Anthony G. Cohn. Their work appears in journals such as Computers & Graphics, Virtual Reality, PLoS ONE, Advanced Robotics and IEEE Transactions on Robotics.
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.