Reg G. Willson

1.9k citations
23 papers · 772 · h-index 15

Impact in

Papers in

Reg G. Willson

22 papers receiving 697 citations

Peers

Reg G. Willson
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 498
  • Media Technology 165
  • Aerospace Engineering 328
  • Astronomy and Astrophysics 129
  • Geology 40
Replace Adnan Ansar with:
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Kwang Moo Yi Canada
Donald B. Gennery United States
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Citations per year

Countries citing papers authored by Reg G. Willson

Since Specialization
Citations

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

Fields of papers citing papers by Reg G. Willson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reg G. Willson. 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 Reg G. Willson. The network helps show where Reg G. Willson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007136
2 1994130
3 199480
4 200472
5 200762
6 199034
7 200232
8 199031
9 200629
10 200626
11 200224
12 199419
13
AN OPTICAL MODEL FOR IMAGE ARTIFACTS PRODUCED BY DUST PARTICLES ON LENSES
200519
14 200117
15 201517
16 199213
17
MOC2DIMES: A Camera Simulator for the Mars Exploration Rover Descent Image Motion Estimation System
20059
18
Incremental Bundle Adjustment Techniques Using Networked Overhead And Ground Imagery for Long-Range Autonomous Mars Rover Localization
20058
19
Obtaining accurate color images for machine vision research
19926
20 20216

About Reg G. Willson

Reg G. Willson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Astronomy and Astrophysics, Media Technology and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 772 indexed citations. Recurring topics across this work include Planetary Science and Exploration (8 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (7 papers), Optical measurement and interference techniques (6 papers), Image Processing Techniques and Applications (6 papers), Inertial Sensor and Navigation (4 papers), Infrared Target Detection Methodologies (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Media Technology (165 citations), Aerospace Engineering (328 citations), Astronomy and Astrophysics (129 citations) and Geology (40 citations). Reg G. Willson has collaborated with scholars based in United States and France. Frequent co-authors include Steven A. Shafer, Andrew Johnson, Yang Cheng, Larry Matthies, J. D. Goguen, Mark Maimone, Chris Leger, Bruce H. Krogh, Andrew N. Stein and Anelia Angelova. Their work appears in journals such as International Journal of Computer Vision, Journal of the Optical Society of America A, IEEE Intelligent Systems, IEEE Transactions on Software Engineering and Defense Technical Information Center (DTIC).

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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