Andrew J. Davison

27.7k total citations · 16 hit papers
108 papers, 15.9k citations indexed

About

Andrew J. Davison is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Andrew J. Davison has authored 108 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 85 papers in Aerospace Engineering and 24 papers in Geology. Recurrent topics in Andrew J. Davison's work include Robotics and Sensor-Based Localization (85 papers), Advanced Vision and Imaging (54 papers) and Advanced Image and Video Retrieval Techniques (32 papers). Andrew J. Davison is often cited by papers focused on Robotics and Sensor-Based Localization (85 papers), Advanced Vision and Imaging (54 papers) and Advanced Image and Video Retrieval Techniques (32 papers). Andrew J. Davison collaborates with scholars based in United Kingdom, Spain and United States. Andrew J. Davison's co-authors include Ian Reid, Richard A. Newcombe, Nicholas Molton, Olivier Stasse, J. M. M. Montiel, Stefan Leutenegger, Steven Lovegrove, Hauke Strasdat, Javier Civera and Thomas J. Whelan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and The International Journal of Robotics Research.

In The Last Decade

Andrew J. Davison

105 papers receiving 15.2k citations

Hit Papers

MonoSLAM: Real-Time Single Camera SLAM 2002 2026 2010 2018 2007 2011 2011 2019 2013 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Davison United Kingdom 46 11.6k 11.3k 3.5k 2.6k 1.2k 108 15.9k
Ian Reid United Kingdom 63 16.0k 1.4× 9.2k 0.8× 2.3k 0.6× 2.2k 0.9× 889 0.7× 260 20.4k
Marc Pollefeys Switzerland 76 17.8k 1.5× 11.1k 1.0× 3.9k 1.1× 1.2k 0.5× 1.1k 0.9× 464 22.0k
Kurt Konolige United States 43 10.7k 0.9× 9.6k 0.8× 1.8k 0.5× 2.0k 0.8× 1.4k 1.1× 106 15.3k
Frank Dellaert United States 55 8.6k 0.7× 10.0k 0.9× 1.7k 0.5× 3.6k 1.4× 1.5k 1.2× 209 15.3k
Davide Scaramuzza Switzerland 79 14.3k 1.2× 15.3k 1.3× 3.1k 0.9× 5.5k 2.1× 2.4k 2.0× 257 23.0k
Andrew Fitzgibbon United Kingdom 52 13.9k 1.2× 6.1k 0.5× 2.7k 0.8× 791 0.3× 1.6k 1.3× 157 18.2k
Shaojie Shen Hong Kong 47 6.9k 0.6× 7.8k 0.7× 1.7k 0.5× 1.7k 0.7× 1.5k 1.2× 177 10.5k
Giorgio Grisetti Italy 33 5.3k 0.5× 7.2k 0.6× 1.6k 0.4× 2.2k 0.9× 960 0.8× 110 8.8k
Gary Bradski United States 28 8.9k 0.8× 5.7k 0.5× 1.2k 0.4× 1.1k 0.4× 790 0.6× 47 13.1k
Andreas Geiger Germany 52 19.8k 1.7× 9.2k 0.8× 3.3k 0.9× 1.6k 0.6× 981 0.8× 135 26.0k

Countries citing papers authored by Andrew J. Davison

Since Specialization
Citations

This map shows the geographic impact of Andrew J. Davison'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 J. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Davison more than expected).

Fields of papers citing papers by Andrew J. Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Davison. 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 J. Davison. The network helps show where Andrew J. Davison may publish in the future.

Co-authorship network of co-authors of Andrew J. Davison

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

All Works

20 of 20 papers shown
1.
Wada, Kentaro, Stephen James, & Andrew J. Davison. (2022). ReorientBot: Learning Object Reorientation for Specific-Posed Placement. 2022 International Conference on Robotics and Automation (ICRA). 8252–8258. 17 indexed citations
2.
Zhi, Shuaifeng, et al.. (2022). iLabel: Revealing Objects in Neural Fields. IEEE Robotics and Automation Letters. 8(2). 832–839. 18 indexed citations
3.
Wei, Zhangping & Andrew J. Davison. (2021). A convolutional neural network based model to predict nearshore waves and hydrodynamics. Coastal Engineering. 171. 104044–104044. 31 indexed citations
4.
Wada, Kentaro, et al.. (2020). Neural Object Descriptors for Multi-View Shape Reconstruction. arXiv (Cornell University). 2 indexed citations
5.
Wada, Kentaro, et al.. (2020). MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. 14528–14537. 70 indexed citations
6.
Zhi, Shuaifeng, Michael Bloesch, Stefan Leutenegger, & Andrew J. Davison. (2019). SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. 11768–11777. 45 indexed citations
7.
Liu, Shikun, Andrew J. Davison, & Edward Johns. (2019). Self-Supervised Generalisation with Meta Auxiliary Learning. Spiral (Imperial College London). 32. 1677–1687. 8 indexed citations
8.
Saeedi, Sajad, Wenbin Li, Dimos Tzoumanikas, et al.. (2019). Characterizing Visual Localization and Mapping Datasets. Pure (University of Bath). 6699–6705. 16 indexed citations
9.
Saeedi, Sajad, Bruno Bodin, Andrew J. Davison, et al.. (2019). SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding. Research Explorer (The University of Manchester). 6351–6358. 23 indexed citations
10.
McCormac, John, Ankur Handa, Stefan Leutenegger, & Andrew J. Davison. (2017). SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?. Spiral (Imperial College London). 2697–2706. 157 indexed citations
11.
Leutenegger, Stefan, et al.. (2017). Room layout estimation from rapid omnidirectional exploration. Spiral (Imperial College London). 6315–6322. 8 indexed citations
12.
Davison, Andrew J., et al.. (2016). Simultaneous Optical Flow and Intensity Estimation from an Event Camera. Spiral (Imperial College London). 884–892. 171 indexed citations
13.
Kelly, Paul H. J., et al.. (2014). Dense planar SLAM. 157–164. 117 indexed citations
14.
Handa, Ankur, Thomas J. Whelan, John McDonald, & Andrew J. Davison. (2014). A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM. Maynooth University ePrints and eTheses Archive (Maynooth University). 1524–1531. 579 indexed citations breakdown →
15.
Newcombe, Richard A., et al.. (2013). SLAM++: Simultaneous Localisation and Mapping at the Level of Objects. 1352–1359. 607 indexed citations breakdown →
16.
Stoyanov, Danail, et al.. (2013). Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery. Lecture notes in computer science. 16(Pt 1). 42–49. 32 indexed citations
17.
Strasdat, Hauke, Andrew J. Davison, J. M. M. Montiel, & Kurt Konolige. (2011). Double window optimisation for constant time visual SLAM. 2352–2359. 183 indexed citations
18.
Chli, Margarita & Andrew J. Davison. (2009). Robotics and Automation, 2009. ICRA '09. IEEE International Conference on. 469 indexed citations breakdown →
19.
Davison, Andrew J. & Nobuyuki Kita. (2005). 3D simultaneous localisation and map-building using active vision for a robot moving on undulating terrain. 1. I–384. 71 indexed citations
20.
Davison, Andrew J.. (2003). Modelling the world in real time: how robots engineer information. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 361(1813). 2875–2890. 1 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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