John R. Wright

40 papers receiving 458 citations

Peers

John R. Wright
Comparison fields: 5 of 83
  • Software 82
  • Astronomy and Astrophysics 171
  • Aerospace Engineering 200
  • Computer Vision and Pattern Recognition 137
  • Computer Graphics and Computer-Aided Design 19
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Citations per year

Countries citing papers authored by John R. Wright

Since Specialization
Citations

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

Fields of papers citing papers by John R. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Wright. 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 John R. Wright. The network helps show where John R. Wright may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Model Driven Architecture with Executable UML
2004106
2 200673
3 200640
4 200637
5 200633
6 200632
7 200625
8 199915
9 200613
10 200413
11 200413
12
Immersive Environments for Mission Operations: Beyond Mars Pathfinder
199811
13 200611
14
Implementing technology education
198610
15 200410
16 20049
17 20149
18 20138
19 20028
20 20077

About John R. Wright

John R. Wright is a scholar working on Computer Graphics and Computer-Aided Design, Astronomy and Astrophysics, Aerospace Engineering, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 534 indexed citations. Recurring topics across this work include Planetary Science and Exploration (18 papers), Space Exploration and Technology (14 papers), Robotic Path Planning Algorithms (5 papers), Computer Graphics and Visualization Techniques (5 papers), Inertial Sensor and Navigation (4 papers), Robotics and Sensor-Based Localization (4 papers), Modular Robots and Swarm Intelligence (4 papers) and Astro and Planetary Science (4 papers). The work is most often cited by research in Software (82 citations), Astronomy and Astrophysics (171 citations), Aerospace Engineering (200 citations), Computer Vision and Pattern Recognition (137 citations) and Computer Graphics and Computer-Aided Design (19 citations). John R. Wright has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Frank R. Hartman, Brian Cooper, Paul Francis, S. Maxwell, Jeng Yen, Mark Maimone, Eric Baumgartner, Jeffrey Biesiadecki, Patrick C. Leger and R.G. Bonitz. Their work appears in journals such as IEEE Robotics & Automation Magazine, Journal of Geophysical Research Atmospheres, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Computer Vision and Image Understanding and Computer Science Education.

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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