Jason Ziglar
Impact in
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Robotic Path Planning Algorithms 5
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 2
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- Robotics and Sensor-Based Localization 4
- Space Exploration and Technology 2
- Co-authors
- Deva Ramanan (3 shared papers)Peiyun Hu (2 shared papers)David Held (2 shared papers)Paul E. Rybski (2 shared papers)Alonzo Kelly (3 shared papers)Daniel Huber (2 shared papers)Peter Rander (2 shared papers)Robert J. Meyers (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)Lecture notes in computer science (1 paper)UTS ePRESS (University of Technology Sydney) (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Jason Ziglar
13 papers receiving 317 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 190
- Automotive Engineering 105
- Geology 38
- Environmental Engineering 79
- Instrumentation 18
Countries citing papers authored by Jason Ziglar
This map shows the geographic impact of Jason Ziglar'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 Jason Ziglar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Ziglar more than expected).
Fields of papers citing papers by Jason Ziglar
This network shows the impact of papers produced by Jason Ziglar. 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 Jason Ziglar. The network helps show where Jason Ziglar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Ziglar, 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 | 2020 | 97 | |
| 2 | 2010 | 63 | |
| 3 | 2008 | 55 | |
| 4 | 2022 | 37 | |
| 5 | 2018 | 33 | |
| 6 | 2009 | 26 | |
| 7 | 2008 | 11 | |
| 8 | 2015 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2011 | 1 |
About Jason Ziglar
Jason Ziglar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Environmental Engineering and Astronomy and Astrophysics, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers), Remote Sensing and LiDAR Applications (3 papers), Space Exploration and Technology (2 papers), Video Surveillance and Tracking Methods (2 papers) and Planetary Science and Exploration (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Automotive Engineering (105 citations), Geology (38 citations), Environmental Engineering (79 citations) and Instrumentation (18 citations). Jason Ziglar has collaborated with scholars based in United States and Australia. Frequent co-authors include Deva Ramanan, Peiyun Hu, David Held, Paul E. Rybski, Alonzo Kelly, Daniel Huber, Peter Rander, Robert J. Meyers, Herman Herman and Randy Warner. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots, Lecture notes in computer science, UTS ePRESS (University of Technology Sydney) and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.