Christopher Rasmussen
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- Advanced Vision and Imaging 18
- Video Surveillance and Tracking Methods 12
- Image and Object Detection Techniques 7
- Advanced Image and Video Retrieval Techniques 5
- Computational Mathematics top 5%
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety 8
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 15
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 13
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- Robotic Locomotion and Control 5
Christopher Rasmussen
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 906
- Computational Mathematics 21
- Automotive Engineering 373
- Environmental Engineering 222
- Aerospace Engineering 313
Countries citing papers authored by Christopher Rasmussen
This map shows the geographic impact of Christopher Rasmussen'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 Christopher Rasmussen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Rasmussen more than expected).
Fields of papers citing papers by Christopher Rasmussen
This network shows the impact of papers produced by Christopher Rasmussen. 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 Christopher Rasmussen. The network helps show where Christopher Rasmussen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Rasmussen, 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 | 2022 | 1 | |
| 2 | 2019 | 1 | |
| 3 | Probabilistic modeling of soil development variability with time | 2015 | 0 |
| 4 | 2014 | 2 | |
| 5 | 2014 | 2 | |
| 6 | 2014 | 11 | |
| 7 | 2011 | 9 | |
| 8 | 2011 | 1 | |
| 9 | 2011 | 4 | |
| 10 | 2009 | 31 | |
| 11 | 2008 | 35 | |
| 12 | 2007 | 36 | |
| 13 | Robust spatiotemporal analysis of architectural imagery | 2007 | 0 |
| 14 | 2007 | 10 | |
| 15 | 2004 | 9 | |
| 16 | 2003 | 20 | |
| 17 | Fusing Ladar and Color Image Information for Mobile Robot Feature Detection and Tracking | 2002 | 20 |
| 18 | 2002 | 51 | |
| 19 | 2001 | 268 | |
| 20 | Robot navigation using image sequences | 1996 | 18 |
About Christopher Rasmussen
Christopher Rasmussen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Geology, Automotive Engineering and Aerospace Engineering, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (18 papers), Remote Sensing and LiDAR Applications (15 papers), Robotics and Sensor-Based Localization (13 papers), Video Surveillance and Tracking Methods (12 papers), Autonomous Vehicle Technology and Safety (8 papers), Image and Object Detection Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (906 citations), Computational Mathematics (21 citations), Automotive Engineering (373 citations), Environmental Engineering (222 citations) and Aerospace Engineering (313 citations). Christopher Rasmussen has collaborated with scholars based in United States. Frequent co-authors include G Hager, Gregory D. Hager, Yan Lu, Michael Shneier, Tommy Chang, Tsai Hong Hong, Qiaosong Wang, Eric Huang, Tully Foote and Aaron Bobick. Their work appears in journals such as Journal of Field Robotics, Intelligent Service Robotics, IEEE Transactions on Image Processing, Image and Vision Computing and Autonomous Robots.
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.