David Stavens
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 1%
- Aerospace Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Sebastian ThrunHendrik DahlkampJesse LevinsonDavid HeldJ. Zico KolterOliver PinkMichael SokolskyAlex Teichman
- Topics
- Robotics and Sensor-Based Localization (6 papers)Autonomous Vehicle Technology and Safety (5 papers)Indoor and Outdoor Localization Technologies (2 papers)
- Journals
- International Joint Conference on Artificial IntelligenceNational Conference on Artificial Intelligence
- Partner nations
- United StatesGermany
In The Last Decade
David Stavens
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 686
- Automotive Engineering 529
- Aerospace Engineering 441
- Electrical and Electronic Engineering 386
- Artificial Intelligence 227
Countries citing papers authored by David Stavens
This map shows the geographic impact of David Stavens'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 David Stavens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stavens more than expected).
Fields of papers citing papers by David Stavens
This network shows the impact of papers produced by David Stavens. 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 David Stavens. The network helps show where David Stavens may publish in the future.
Co-authorship network of co-authors of David Stavens
This figure shows the co-authorship network connecting the top 25 collaborators of David Stavens. A scholar is included among the top collaborators of David Stavens 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 David Stavens. David Stavens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Towards fully autonomous driving: Systems and algorithmsbreakdown → | 901 |
| 2 | 176 | |
| 3 | Assisted Highway Lane Changing with RASCL | 3 |
| 4 | 43 | |
| 5 | 31 | |
| 6 | Online speed adaptation using supervised learning for high-speed, off-road autonomous driving | 19 |
| 7 | Winning the DARPA grand challenge with an AI robot | 57 |
| 8 | 8 | |
| 9 | 246 |
About David Stavens
David Stavens is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Automotive Engineering (529 citations), Computer Vision and Pattern Recognition (686 citations) and Aerospace Engineering (441 citations). David Stavens has collaborated with scholars based in United States and Germany. Frequent co-authors include Sebastian Thrun, Hendrik Dahlkamp, Jesse Levinson, David Held, J. Zico Kolter, Oliver Pink, Michael Sokolsky, Alex Teichman, Jan Becker and Moritz Werling. Their work appears in journals such as International Joint Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
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.