Kevin Brink
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Timothy W. McLainRajnikant SharmaAndrew WillisWarren E. DixonJustin R. KlotzJonathan RogersAaron CancianiRandal W. Beard
- Topics
- Robotics and Sensor-Based Localization (40 papers)Robotic Path Planning Algorithms (20 papers)Target Tracking and Data Fusion in Sensor Networks (18 papers)
- Partner nations
- United StatesGermanyRomania
In The Last Decade
Kevin Brink
57 papers receiving 375 citations
Peers
Comparison fields: 5 of 54
- Aerospace Engineering 291
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 108
- Electrical and Electronic Engineering 82
- Control and Systems Engineering 72
Countries citing papers authored by Kevin Brink
This map shows the geographic impact of Kevin Brink'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 Brink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Brink more than expected).
Fields of papers citing papers by Kevin Brink
This network shows the impact of papers produced by Kevin Brink. 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 Brink. The network helps show where Kevin Brink may publish in the future.
Co-authorship network of co-authors of Kevin Brink
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Brink. A scholar is included among the top collaborators of Kevin Brink 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 Brink. Kevin Brink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | Path Planning for Cooperative Navigation with Inter-Agent Range Measurements | 4 |
| 19 | Palila abUndanCe eSTimaTeS and TRend | 1 |
| 20 | Comparing Traditional and Motion Constraint Methods for EKF-Based SLAM | 1 |
About Kevin Brink
Kevin Brink is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology, having authored 62 papers that have together received 388 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (40 papers), Robotic Path Planning Algorithms (20 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). The work is most often cited by research in Aerospace Engineering (291 citations), Computer Vision and Pattern Recognition (128 citations) and Geology (29 citations). Kevin Brink has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Timothy W. McLain, Rajnikant Sharma, Andrew Willis, Warren E. Dixon, Justin R. Klotz, Jonathan Rogers, Aaron Canciani, Randal W. Beard, Clark N. Taylor and John E. Hurtado. Their work appears in journals such as IEEE Access, Sensors and The International Journal of Robotics 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.