Andrew J. Davison

612 citations
13 papers · 221 indexed · 1 hit paper · h-index 6
Topics
Robotics and Sensor-Based Localization (5 papers)Modular Robots and Swarm Intelligence (4 papers)Robot Manipulation and Learning (3 papers)

In The Last Decade

Andrew J. Davison

10 papers receiving 215 citations

Hit Papers

Gaussian Splatting SLAM20242026202520244080120

Peers

Andrew J. Davison
Comparison fields: 5 of 40
  • Aerospace Engineering 129
  • Computer Vision and Pattern Recognition 127
  • Geology 34
  • Mechanical Engineering 33
  • Artificial Intelligence 20
Replace Nikhil Keetha with:
Nikhil Keetha United States
Riku Murai United Kingdom
Hidenobu Matsuki United Kingdom
Antoni Rosinol United States
Hyowon Ha South Korea
Vincent Gay‐Bellile France
Oliver Wasenmüller Germany
C. Mei United Kingdom
Rolf Lakaemper United States
Mariano Jaimez Spain
Andrew J. Davison relative to Nikhil Keetha United States Nikhil Keetha's profile →
Citations per field
00.5×1.5×
Nikhil Keetha · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 1
5 2
6 4
7
Gaussian Splatting SLAMbreakdown →
145
8 11
9 20
10
Improving Response Time in a Client/Server 3D Mobile Game
1
11 5
12 26
13 1

About Andrew J. Davison

Andrew J. Davison is a scholar working on Computer Graphics and Computer-Aided Design, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 221 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Geology (34 citations) and Aerospace Engineering (129 citations). Andrew J. Davison has collaborated with scholars based in United Kingdom, Canada and Thailand. Frequent co-authors include Riku Murai, Paul H. J. Kelly, Hidenobu Matsuki, David W. Murray, D.W. Murray, Sajad Saeedi, Seng W. Loke, Ignacio Alzugaray, R. P. Taylor and Sara Barron. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Theory and Practice of Logic Programming.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026