Katherine A. Skinner
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- Advanced Vision and Imaging 7
- Image Enhancement Techniques 5
- Advanced Neural Network Applications 3
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- 3D Surveying and Cultural Heritage 4
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 9
- Space Satellite Systems and Control 3
- Media Technology top 10%
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- Underwater Acoustics Research 3
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- Astro and Planetary Science 3
- Co-authors
- Matthew Johnson‐RobersonRam VasudevanJunming ZhangLingjun ZhaoPanagiotis TsiotrasRyan M. EusticeKoki HoJeffrey M. Walls
- Journals
- IEEE Robotics and Automation Letters (3 papers)The International Journal of Robotics Research (2 papers)Acta Astronautica (1 paper)
- Partner nations
- United StatesNew ZealandJapan
In The Last Decade
Katherine A. Skinner
29 papers receiving 262 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 162
- Computer Graphics and Computer-Aided Design 25
- Geology 24
- Aerospace Engineering 105
- Media Technology 36
Countries citing papers authored by Katherine A. Skinner
This map shows the geographic impact of Katherine A. Skinner'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 Katherine A. Skinner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine A. Skinner more than expected).
Fields of papers citing papers by Katherine A. Skinner
This network shows the impact of papers produced by Katherine A. Skinner. 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 Katherine A. Skinner. The network helps show where Katherine A. Skinner may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Katherine A. Skinner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 30 | |
| 17 | 2018 | 6 | |
| 18 | Multi-view 3D reconstruction in underwater environments: Evaluation and benchmark | 2017 | 4 |
| 19 | 2017 | 25 | |
| 20 | 2015 | 14 |
About Katherine A. Skinner
Katherine A. Skinner is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 272 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers), 3D Surveying and Cultural Heritage (4 papers), Space Satellite Systems and Control (3 papers), Underwater Acoustics Research (3 papers), Advanced Neural Network Applications (3 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Computer Graphics and Computer-Aided Design (25 citations) and Geology (24 citations). Katherine A. Skinner has collaborated with scholars based in United States, New Zealand and Japan. Frequent co-authors include Matthew Johnson‐Roberson, Ram Vasudevan, Junming Zhang, Lingjun Zhao, Panagiotis Tsiotras, Ryan M. Eustice, Koki Ho, Jeffrey M. Walls, John Y. H. Bai and Timothy C. Havens. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Acta Astronautica, Journal of Spacecraft and Rockets and IEEE Transactions on Robotics.
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.