Christopher E. Rasmussen

1.8k citations
55 papers · 1.5k · h-index 20

Impact in

Papers in

Christopher E. Rasmussen

54 papers receiving 1.4k citations

Peers

Christopher E. Rasmussen
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 1.1k
  • Automotive Engineering 417
  • Computational Mathematics 21
  • Environmental Engineering 284
  • Aerospace Engineering 393
Replace Thierry Château with:
Thierry Château France
Eam Khwang Teoh Singapore
Hangen He China
Frank Moosmann Germany
James M. Ferryman United Kingdom
Alvin Wan United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher E. Rasmussen

Since Specialization
Citations

This map shows the geographic impact of Christopher E. 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 E. 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 E. Rasmussen more than expected).

Fields of papers citing papers by Christopher E. Rasmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. 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 E. Rasmussen. The network helps show where Christopher E. Rasmussen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001296
2 2004167
3 2003104
4 200699
5 200476
6 201567
7 200265
8 200243
9 200741
10 201240
11 200838
12 200937
13 200834
14 200626
15
Fusing Ladar and Color Image Information for Mobile Robot Feature Detection and Tracking
200224
16 201724
17 200422
18
Robot navigation using image sequences
199622
19 200221
20 200321

About Christopher E. Rasmussen

Christopher E. Rasmussen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering, Automotive Engineering and Geology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Remote Sensing and LiDAR Applications (21 papers), Robotics and Sensor-Based Localization (18 papers), Video Surveillance and Tracking Methods (14 papers), Autonomous Vehicle Technology and Safety (9 papers), Image and Object Detection Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Automotive Engineering (417 citations), Computational Mathematics (21 citations), Environmental Engineering (284 citations) and Aerospace Engineering (393 citations). Christopher E. Rasmussen has collaborated with scholars based in United States. Frequent co-authors include G Hager, Gregory D. Hager, Yan Lu, Tommy Chang, Michael O. Shneier, Tsai Hong Hong, Qiaosong Wang, Sungmoon Joo, Matt Zucker and Michael X. Grey. Their work appears in journals such as Springer tracts in advanced robotics, Journal of Field Robotics, Lecture notes in computer science, Autonomous Robots and IEEE Transactions on Image Processing.

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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