Kevin Meier
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
Papers in
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- Robotics and Sensor-Based Localization 6
- Guidance and Control Systems 2
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- Advanced Vision and Imaging 3
- Robotic Path Planning Algorithms 3
- Co-authors
- Randal W. Beard (1 shared paper)Matthew E. Argyle (1 shared paper)Huili Yu (1 shared paper)Seth Hutchinson (5 shared papers)Soon‐Jo Chung (5 shared papers)Kiwon Lee (1 shared paper)Aditya A. Paranjape (2 shared papers)Xichen Shi (2 shared papers)
- Journals
- Journal of Field Robotics (2 papers)Journal of Vision (1 paper)The International Journal of Robotics Research (1 paper)Journal of Intensive Care Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Kevin Meier
11 papers receiving 371 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 195
- Aerospace Engineering 195
- Critical Care and Intensive Care Medicine 24
- Computer Networks and Communications 107
- Human-Computer Interaction 22
Countries citing papers authored by Kevin Meier
This map shows the geographic impact of Kevin Meier'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 Kevin Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Meier more than expected).
Fields of papers citing papers by Kevin Meier
This network shows the impact of papers produced by Kevin Meier. 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 Kevin Meier. The network helps show where Kevin Meier may publish in the future.
Co-authors
The 18 scholars most cited alongside Kevin Meier, 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 | 2014 | 180 | |
| 2 | 2015 | 62 | |
| 3 | 2016 | 47 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2013 | 12 | |
| 8 | 2020 | 10 | |
| 9 | 2013 | 5 | |
| 10 | 2016 | 2 | |
| 11 | Tannic acid derivatives display anti-angiogenic properties in human breast cancer cells by interfering with CXCR4/SDF-1 interactions | 2005 | 2 |
| 12 | 2014 | 0 | |
| 13 | 1988 | 0 |
About Kevin Meier
Kevin Meier is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Epidemiology and Geology, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (3 papers), Robotic Path Planning Algorithms (3 papers), Guidance and Control Systems (2 papers), 3D Surveying and Cultural Heritage (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Tannin, Tannase and Anticancer Activities (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Aerospace Engineering (195 citations), Critical Care and Intensive Care Medicine (24 citations), Computer Networks and Communications (107 citations) and Human-Computer Interaction (22 citations). Kevin Meier has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Randal W. Beard, Matthew E. Argyle, Huili Yu, Seth Hutchinson, Soon‐Jo Chung, Kiwon Lee, Aditya A. Paranjape, Xichen Shi, Michael Rohs and Yongcan Cao. Their work appears in journals such as Journal of Field Robotics, Journal of Vision, The International Journal of Robotics Research, Journal of Intensive Care Medicine and Cancer Research.
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.