Michael Paton

615 citations
21 papers · 346 · h-index 12

Impact in

Papers in

Michael Paton

21 papers receiving 334 citations

Peers

Michael Paton
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 214
  • Aerospace Engineering 211
  • Geology 33
  • Instrumentation 9
  • Geophysics 24
Replace Oliver Meister with:
Oliver Meister Germany
Pierre Moreels United States
Xuanbin Wang China
Zhiheng Shen China
Odysseas Kechagias‐Stamatis United Kingdom
I.S. Kweon United States
Yuxuan Zhou China
Xiaoyan Hu China
Shreyansh Daftry United States
Riccardo Giubilato Italy
Michael Paton relative to Oliver Meister Germany Oliver Meister's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Paton

Since Specialization
Citations

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

Fields of papers citing papers by Michael Paton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Paton, 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 Michael Paton Line = papers co-authored together Michael Paton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201031
3 201626
4 201524
5 201723
6 201222
7 199322
8 201719
9 201718
10 202017
11 202013
12 201812
13 20179
14
Moon Diver: A Discovery Mission Concept for Understanding the History of the Mare Basalts Through the Exploration of a Lunar Mare Pit
20189
15 20169
16 20178
17 20238
18 20168
19 20156
20 20204

About Michael Paton

Michael Paton is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 21 papers that have together received 346 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Robotic Path Planning Algorithms (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Modular Robots and Swarm Intelligence (4 papers), Advanced Vision and Imaging (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Planetary Science and Exploration (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Aerospace Engineering (211 citations), Geology (33 citations), Instrumentation (9 citations) and Geophysics (24 citations). Michael Paton has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Timothy D. Barfoot, Kirk MacTavish, Michael Warren, Chris J. Ostafew, Jana Košecká, François Pomerleau, Ali–akbar Agha–mohammadi, Kyohei Otsu, Л. З. Резницкий and Е. I. Demonterova. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Springer tracts in advanced robotics, Planetary and Space Science and Russian Geology and Geophysics.

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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