Kevin Meier
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Matthew E. ArgyleRandal W. BeardHuili YuSeth HutchinsonSoon‐Jo ChungKiwon LeeXichen ShiAditya A. Paranjape
- Topics
- Robotics and Sensor-Based Localization (6 papers)Advanced Vision and Imaging (3 papers)Robotic Path Planning Algorithms (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringCritical Care and Intensive Care Medicine
- Journals
- Cancer ResearchThe International Journal of Robotics ResearchIEEE/ASME Transactions on Mechatronics
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Kevin Meier
9 papers receiving 308 citations
Peers
Comparison fields: 5 of 62
- Aerospace Engineering 181
- Computer Vision and Pattern Recognition 179
- Computer Networks and Communications 97
- Control and Systems Engineering 48
- Artificial Intelligence 34
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-authorship network of co-authors of Kevin Meier
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Meier. A scholar is included among the top collaborators of Kevin Meier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Meier. Kevin Meier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 18 | |
| 3 | 46 | |
| 4 | 2 | |
| 5 | 58 | |
| 6 | 0 | |
| 7 | 166 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | Tannic acid derivatives display anti-angiogenic properties in human breast cancer cells by interfering with CXCR4/SDF-1 interactions | 2 |
| 11 | 0 |
About Kevin Meier
Kevin Meier is a scholar working on Applied Microbiology and Biotechnology, Geology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 314 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Aerospace Engineering (181 citations) and Critical Care and Intensive Care Medicine (26 citations). Kevin Meier has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include Matthew E. Argyle, Randal W. Beard, Huili Yu, Seth Hutchinson, Soon‐Jo Chung, Kiwon Lee, Xichen Shi, Aditya A. Paranjape, Yongcan Cao and Byron K. Murray. Their work appears in journals such as Cancer Research, The International Journal of Robotics Research and IEEE/ASME Transactions on Mechatronics.
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.