Andrew P. Gee

499 total citations
12 papers, 266 citations indexed

About

Andrew P. Gee is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Andrew P. Gee has authored 12 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Geology. Recurrent topics in Andrew P. Gee's work include Robotics and Sensor-Based Localization (9 papers), 3D Surveying and Cultural Heritage (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). Andrew P. Gee is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), 3D Surveying and Cultural Heritage (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). Andrew P. Gee collaborates with scholars based in United Kingdom, Mexico and Brazil. Andrew P. Gee's co-authors include Walterio Mayol‐Cuevas, Andrew Calway, Denis Chekhlov, Dima Damen, Ponciano Jorge Escamilla-Ambrosio, Matthew Webb, Anthony G. Cohn, Markus Miezal, Nils Petersen and Luís Almeida and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Robotics and Computers & Graphics.

In The Last Decade

Andrew P. Gee

12 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew P. Gee United Kingdom	8	210	174	65	39	34	12	266
Daniel Herrera C. Finland	2	254 1.2×	152 0.9×	49 0.8×	15 0.4×	34 1.0×	3	319
Binbin Xu United Kingdom	8	179 0.9×	162 0.9×	65 1.0×	22 0.6×	16 0.5×	22	268
Hyowon Ha South Korea	10	323 1.5×	125 0.7×	27 0.4×	30 0.8×	12 0.4×	16	371
Lachlan Nicholson Australia	4	191 0.9×	197 1.1×	55 0.8×	28 0.7×	9 0.3×	5	266
Gaku Narita Japan	5	224 1.1×	108 0.6×	70 1.1×	12 0.3×	63 1.9×	5	293
Shile Li Germany	7	328 1.6×	234 1.3×	72 1.1×	50 1.3×	84 2.5×	14	380
A. Barros Brazil	3	149 0.7×	197 1.1×	59 0.9×	58 1.5×	5 0.1×	3	256
Pierre Gurdjos France	10	394 1.9×	119 0.7×	59 0.9×	16 0.4×	31 0.9×	24	420
Pilar Merchán Spain	10	114 0.5×	46 0.3×	97 1.5×	17 0.4×	27 0.8×	41	280
Pietro Azzari Italy	6	228 1.1×	66 0.4×	21 0.3×	19 0.5×	63 1.9×	6	288

Countries citing papers authored by Andrew P. Gee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrew P. Gee

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Gee. A scholar is included among the top collaborators of Andrew P. Gee 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 Andrew P. Gee. Andrew P. Gee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Bleser, Gabriele, Dima Damen, Ardhendu Behera, et al.. (2015). Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks. PLoS ONE. 10(6). e0127769–e0127769. 33 indexed citations

Lee, Minhyung, et al.. (2013). Real-time 3D simultaneous localization and map-building for a dynamic walking humanoid robot. Advanced Robotics. 27(10). 759–772. 9 indexed citations

Damen, Dima, Andrew P. Gee, Walterio Mayol‐Cuevas, & Andrew Calway. (2012). Egocentric Real-time Workspace Monitoring using an RGB-D camera. Explore Bristol Research. 1029–1036. 18 indexed citations

Gee, Andrew P. & Walterio Mayol‐Cuevas. (2012). 6D Relocalisation for RGBD Cameras Using Synthetic View Regression. 113.1–113.11. 26 indexed citations

Damen, Dima, Andrew P. Gee, Walterio Mayol‐Cuevas, & Andrew Calway. (2011). IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11). 1 indexed citations

Ishikawa, Tomoya, et al.. (2011). Interactive 3-D indoor modeler for virtualizing service fields. Virtual Reality. 17(2). 89–109. 3 indexed citations

Gee, Andrew P., Matthew Webb, Ponciano Jorge Escamilla-Ambrosio, Walterio Mayol‐Cuevas, & Andrew Calway. (2011). A topometric system for wide area augmented reality. Computers & Graphics. 35(4). 854–868. 10 indexed citations

Damen, Dima, Andrew P. Gee, Walterio Mayol‐Cuevas, & Andrew Calway. (2011). Detecting and Localising Multiple 3D Objects: A Fast and Scalable Approach. Explore Bristol Research. 3 indexed citations

Gee, Andrew P., Ponciano Jorge Escamilla-Ambrosio, Matthew Webb, Walterio Mayol‐Cuevas, & Andrew Calway. (2010). Augmented crime scenes. 105–110. 13 indexed citations

10.

Gee, Andrew P., Denis Chekhlov, Andrew Calway, & Walterio Mayol‐Cuevas. (2008). Discovering Higher Level Structure in Visual SLAM. IEEE Transactions on Robotics. 24(5). 980–990. 79 indexed citations

11.

Chekhlov, Denis, Andrew P. Gee, Andrew Calway, & Walterio Mayol‐Cuevas. (2007). Ninja on a Plane: Automatic Discovery of Physical Planes for Augmented Reality Using Visual SLAM. 153–156. 66 indexed citations

12.

Gee, Andrew P. & Walterio Mayol‐Cuevas. (2006). Real-time model-based slam using line segments. Explore Bristol Research. 5 indexed citations

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.

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