Kevin Eckenhoff
Impact in
- Geology top 1%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 1%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
Papers in
-
- Robotics and Sensor-Based Localization 19
- Inertial Sensor and Navigation 4
-
- Advanced Vision and Imaging 9
- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Guoquan Huang (20 shared papers)Patrick Geneva (15 shared papers)Yulin Yang (7 shared papers)Woosik Lee (3 shared papers)Liam Paull (1 shared paper)Yong Liu (1 shared paper)Xingxing Zuo (1 shared paper)Yue Wang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (1 paper)UTS ePRESS (University of Technology Sydney) (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Kevin Eckenhoff
20 papers receiving 1.1k citations
Kevin Eckenhoff's Hit Papers
Peers
Comparison fields: 5 of 41
- Geology 405
- Aerospace Engineering 1.1k
- Computer Vision and Pattern Recognition 619
- Instrumentation 30
- Environmental Engineering 101
Countries citing papers authored by Kevin Eckenhoff
This map shows the geographic impact of Kevin Eckenhoff'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 Eckenhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Eckenhoff more than expected).
Fields of papers citing papers by Kevin Eckenhoff
This network shows the impact of papers produced by Kevin Eckenhoff. 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 Eckenhoff. The network helps show where Kevin Eckenhoff may publish in the future.
Co-authors
The 11 scholars most cited alongside Kevin Eckenhoff, 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 | OpenVINS: A Research Platform for Visual-Inertial Estimation Hit paper breakdown → | 2020 | 431 |
| 2 | 2018 | 156 | |
| 3 | 2019 | 68 | |
| 4 | 2021 | 67 | |
| 5 | 2020 | 63 | |
| 6 | 2019 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2019 | 43 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 39 | |
| 11 | 2016 | 33 | |
| 12 | 2019 | 31 | |
| 13 | 2019 | 28 | |
| 14 | 2017 | 23 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2017 | 8 | |
| 18 | 2015 | 5 | |
| 19 | Generalized Optimal-State-Constraint Extended Kalman Filter (OSC-EKF) | 2017 | 2 |
| 20 | 2020 | 1 |
About Kevin Eckenhoff
Kevin Eckenhoff is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Geology and Artificial Intelligence, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), Indoor and Outdoor Localization Technologies (12 papers), Advanced Vision and Imaging (9 papers), Inertial Sensor and Navigation (4 papers), 3D Surveying and Cultural Heritage (4 papers), Robotic Path Planning Algorithms (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Geology (405 citations), Aerospace Engineering (1.1k citations), Computer Vision and Pattern Recognition (619 citations), Instrumentation (30 citations) and Environmental Engineering (101 citations). Kevin Eckenhoff has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Guoquan Huang, Patrick Geneva, Yulin Yang, Woosik Lee, Liam Paull, Yong Liu, Xingxing Zuo, Yue Wang, James M. Maley and Rong Xiong. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics and UTS ePRESS (University of Technology Sydney).
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.