Stephen Kyle

21 papers receiving 960 citations

Peers

Stephen Kyle
Comparison fields: 5 of 100
  • Geology 531
  • Space and Planetary Science 69
  • Environmental Engineering 295
  • Computer Vision and Pattern Recognition 404
  • Conservation 55
Replace Andrea Masiero with:
Andrea Masiero Italy
L. Pinto Italy
Devrim Akça Switzerland
David Belton Australia
Alberto Guarnieri Italy
Florent Poux Belgium
Wen Xiao United Kingdom
Antonio Vettore Italy
Maren Lindstaedt Germany
Zulkepli Majid Malaysia
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Citations per year

Countries citing papers authored by Stephen Kyle

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Stephen Kyle, 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 Stephen Kyle Line = papers co-authored together Stephen Kyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013262
2
Close Range Photogrammetry : Principles, Techniques and Applications
2007254
3
Close Range Photogrammetry Principles, Methods and Applications
2006197
4 2019169
5 202343
6 202214
7 199913
8 199513
9 201412
10 201311
11 201610
12 19958
13 20167
14 20167
15 20046
16
Optically jointed probing systems for large volume coordinate metrology
20075
17 20194
18
Robot calibration by optical methods
19944
19 20213
20 19942

About Stephen Kyle

Stephen Kyle is a scholar working on Geology, Computer Vision and Pattern Recognition, Mechanical Engineering, Environmental Engineering and Ocean Engineering, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (11 papers), Optical measurement and interference techniques (9 papers), Advanced Measurement and Metrology Techniques (8 papers), Remote Sensing and LiDAR Applications (6 papers), Satellite Image Processing and Photogrammetry (4 papers), Robotic Mechanisms and Dynamics (3 papers), Advanced Measurement and Detection Methods (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Geology (531 citations), Space and Planetary Science (69 citations), Environmental Engineering (295 citations), Computer Vision and Pattern Recognition (404 citations) and Conservation (55 citations). Stephen Kyle has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Stuart Robson, Thomas Lühmann, J. Boehm, I. A. Harley, Lindsay W. MacDonald, Mark R. Shortis, Sakil Barbhuiya, Mark Price, Trevor Robinson and Peter Kilpatrick. Their work appears in journals such as Measurement Science and Technology, The Photogrammetric Record, Journal of Computational Design and Engineering, Control Engineering Practice and Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

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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