Jason Ziglar

2.5k total citations
11 papers, 269 citations indexed

About

Jason Ziglar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Jason Ziglar has authored 11 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Automotive Engineering. Recurrent topics in Jason Ziglar's work include Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Jason Ziglar is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Jason Ziglar collaborates with scholars based in United States and Australia. Jason Ziglar's co-authors include Deva Ramanan, David Held, Peiyun Hu, Paul E. Rybski, Alonzo Kelly, Daniel Huber, Peter Rander, Randy Warner, Herman Herman and Robert J. Meyers and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and Figshare.

In The Last Decade

Jason Ziglar

11 papers receiving 251 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Ziglar United States 6 158 98 73 63 41 11 269
Inwook Shim South Korea 10 187 1.2× 115 1.2× 56 0.8× 46 0.7× 18 0.4× 29 301
Anshul Paigwar France 8 118 0.7× 86 0.9× 62 0.8× 84 1.3× 14 0.3× 15 252
Jérôme Maye Switzerland 11 124 0.8× 146 1.5× 35 0.5× 37 0.6× 91 2.2× 12 328
Randy Warner United States 2 131 0.8× 122 1.2× 31 0.4× 33 0.5× 42 1.0× 3 232
Kiho Kwak South Korea 9 264 1.7× 215 2.2× 70 1.0× 73 1.2× 24 0.6× 27 396
M. Herbert United States 5 170 1.1× 161 1.6× 65 0.9× 30 0.5× 21 0.5× 8 255
Özgür Erkent Türkiye 9 161 1.0× 105 1.1× 40 0.5× 53 0.8× 15 0.4× 26 278
Ralf Kaestner Switzerland 4 168 1.1× 133 1.4× 25 0.3× 50 0.8× 13 0.3× 6 283
Luis Yoichi Morales Japan 12 200 1.3× 203 2.1× 144 2.0× 67 1.1× 19 0.5× 22 401
Jonathon Luiten Germany 9 359 2.3× 134 1.4× 34 0.5× 27 0.4× 32 0.8× 9 475

Countries citing papers authored by Jason Ziglar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jason Ziglar

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Ziglar. A scholar is included among the top collaborators of Jason Ziglar 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 Jason Ziglar. Jason Ziglar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Agarwalla, Abhinav, Xuhua Huang, Jason Ziglar, et al.. (2023). Lidar Panoptic Segmentation and Tracking without Bells and Whistles. 3 indexed citations
2.
Ziglar, Jason, et al.. (2022). Context-aware system synthesis, task assignment, and routing. Autonomous Robots. 47(2). 193–210. 1 indexed citations
3.
Hu, Peiyun, Jason Ziglar, David Held, & Deva Ramanan. (2020). What You See is What You Get: Exploiting Visibility for 3D Object Detection. 10998–11006. 85 indexed citations
4.
Urmson, Chris, J. Andrew Bagnell, Christopher Baker, et al.. (2018). Tartan Racing: A Multi-Modal Approach to the DARPA Urban Challenge. Figshare. 32 indexed citations
5.
Ziglar, Jason, et al.. (2018). Technologies toward Lunar Crater Exploration. Figshare. 1 indexed citations
6.
Ziglar, Jason, et al.. (2018). Plowing for Controlled Steep Crater Descents. Figshare. 1 indexed citations
7.
Furukawa, Tomonari, et al.. (2015). Fast global scan matching for high-speed vehicle navigation. 5 indexed citations
8.
Kelly, Alonzo, Herman Herman, Daniel Huber, et al.. (2010). Real-time photorealistic virtualized reality interface for remote mobile robot control. The International Journal of Robotics Research. 30(3). 384–404. 58 indexed citations
9.
Huber, Daniel, Herman Herman, Alonzo Kelly, Peter Rander, & Jason Ziglar. (2009). Real-time photo-realistic visualization of 3D environments for enhanced tele-operation of vehicles. 1518–1525. 25 indexed citations
10.
McNaughton, Matthew, et al.. (2008). Software Infrastructure for an Autonomous Ground Vehicle. Journal of Aerospace Computing Information and Communication. 5(12). 491–505. 11 indexed citations
11.
Ziglar, Jason, et al.. (2008). Fast feature detection and stochastic parameter estimation of road shape using multiple LIDAR. Figshare. 47 indexed citations

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.

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