Chris Sweeney
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Human Pose and Action Recognition
- Augmented Reality Applications
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 16
- Advanced Image and Video Retrieval Techniques 10
- Image and Object Detection Techniques 3
- Advanced Neural Network Applications 3
- Optical measurement and interference techniques 2
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- Robotics and Sensor-Based Localization 16
- Co-authors
- Tobias Höllerer (8 shared papers)Matthew Turk (5 shared papers)Maryam Najafian (2 shared papers)Marc Pollefeys (2 shared papers)Torsten Sattler (2 shared papers)Matthew Turk (2 shared papers)John P. Flynn (2 shared papers)Richard Newcombe (4 shared papers)
- Journals
- IEEE Transactions on Electron Devices (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Lecture notes in computer science (3 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)ANU Open Research (Australian National University) (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Chris Sweeney
23 papers receiving 538 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 424
- Geology 85
- Aerospace Engineering 301
- Computer Graphics and Computer-Aided Design 29
- Human-Computer Interaction 41
Countries citing papers authored by Chris Sweeney
This map shows the geographic impact of Chris Sweeney'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 Chris Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Sweeney more than expected).
Fields of papers citing papers by Chris Sweeney
This network shows the impact of papers produced by Chris Sweeney. 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 Chris Sweeney. The network helps show where Chris Sweeney may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 90 | |
| 2 | 2022 | 56 | |
| 3 | 2014 | 51 | |
| 4 | 2019 | 42 | |
| 5 | 2012 | 34 | |
| 6 | 2015 | 34 | |
| 7 | 2014 | 27 | |
| 8 | 2019 | 25 | |
| 9 | 2014 | 25 | |
| 10 | 2022 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2017 | 6 |
About Chris Sweeney
Chris Sweeney is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Geology, having authored 23 papers that have together received 557 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image and Object Detection Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Optical measurement and interference techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Geology (85 citations), Aerospace Engineering (301 citations), Computer Graphics and Computer-Aided Design (29 citations) and Human-Computer Interaction (41 citations). Chris Sweeney has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Tobias Höllerer, Matthew Turk, Maryam Najafian, Marc Pollefeys, Torsten Sattler, Matthew Turk, John P. Flynn, Richard Newcombe, Benjamin Nuernberger and Minh Vo. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and ANU Open Research (Australian National University).
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.