Jonathan Paxman

692 citations
36 papers · 286 · h-index 10

Impact in

Papers in

Jonathan Paxman

31 papers receiving 277 citations

Peers

Jonathan Paxman
Comparison fields: 5 of 60
  • Astronomy and Astrophysics 164
  • Space and Planetary Science 3
  • Computer Vision and Pattern Recognition 40
  • Cell Biology 23
  • Control and Systems Engineering 33
Replace Yingying Hu with:
Yingying Hu China
Ronald Fevig United States
Zhao Wu China
Carina Schumann Brazil
H. Hoffmann Germany
Mona Riza Mohd Esa Malaysia
Guillaume Cerutti France
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Kam-Ching Leung United States
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Citations per field
00.5×10×14.5×
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Citations per year

Countries citing papers authored by Jonathan Paxman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Paxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Paxman. 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 Jonathan Paxman. The network helps show where Jonathan Paxman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Paxman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Paxman Line = papers co-authored together Jonathan Paxman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 201738
3 202030
4 201523
5 201420
6 200217
7 201715
8 202013
9 201910
10 20229
11 20036
12 20066
13
Fall and Recovery of the Murrili Meteorite, and an Update on the Desert Fireball Network
20165
14 20205
15
Automated Detection of Martian Craters Using a Convolutional Neural Network
20184
16 20114
17
Switching Controllers: Realization, Initialization and Stability
20034
18
An Inspection and Surveying System For Vertical Shafts
20093
19 20133
20 20063

About Jonathan Paxman

Jonathan Paxman is a scholar working on Astronomy and Astrophysics, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 36 papers that have together received 286 indexed citations. Recurring topics across this work include Astro and Planetary Science (14 papers), Planetary Science and Exploration (12 papers), Robotics and Sensor-Based Localization (4 papers), Stability and Control of Uncertain Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Stellar, planetary, and galactic studies (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Astronomy and Astrophysics (164 citations), Space and Planetary Science (3 citations), Computer Vision and Pattern Recognition (40 citations), Cell Biology (23 citations) and Control and Systems Engineering (33 citations). Jonathan Paxman has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include P. A. Bland, M. C. Towner, Eleanor K. Sansom, Robert M. Howie, Glenn Vinnicombe, Hadrien A. R. Devillepoix, G. K. Benedix, James K. Hane, Darcy Jones and Richard P. Oliver. Their work appears in journals such as Meteoritics and Planetary Science, The Planetary Science Journal, Earth and Space Science, Machine Vision and Applications and Frontiers in Microbiology.

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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