David Belton

59 papers receiving 1.1k citations

Peers

David Belton
Comparison fields: 5 of 82
  • Geology 647
  • Environmental Engineering 730
  • Space and Planetary Science 38
  • Computer Vision and Pattern Recognition 267
  • Instrumentation 37
Replace Wen Xiao with:
Wen Xiao United Kingdom
Mathieu Brédif France
Linh Truong‐Hong Ireland
Sagi Filin Israel
Yufu Zang China
Zhizhong Kang China
Fuxun Liang China
Ronggang Huang China
Sylvie Dijkstra-Soudarissanane Netherlands
G. Jóźków Poland
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Citations per field
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Citations per year

Countries citing papers authored by David Belton

Since Specialization
Citations

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

Fields of papers citing papers by David Belton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014150
2 2012114
3 201478
4 201953
5 201650
6 201444
7 201543
8 201938
9 201736
10 201935
11 201335
12 199430
13
Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data
201230
14 201229
15 201927
16 200922
17 201921
18 201318
19 201918
20 201618

About David Belton

David Belton is a scholar working on Environmental Engineering, Geology, Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (47 papers), 3D Surveying and Cultural Heritage (46 papers), Robotics and Sensor-Based Localization (10 papers), Image and Object Detection Techniques (9 papers), Optical measurement and interference techniques (6 papers), Remote Sensing in Agriculture (6 papers), 3D Modeling in Geospatial Applications (6 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Geology (647 citations), Environmental Engineering (730 citations), Space and Planetary Science (38 citations), Computer Vision and Pattern Recognition (267 citations) and Instrumentation (37 citations). David Belton has collaborated with scholars based in Australia, Canada and Germany. Frequent co-authors include Abdul Nurunnabi, Geoff West, Petra Helmholz, Derek D. Lichti, Ting On Chan, Adam T. Cross, Long Hoang Nguyen, Simon Moncrieff, Yukio Sadahiro and Roderik Lindenbergh. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Drones, The Photogrammetric Record and Journal of Surveying Engineering.

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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