Jan Becker
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Autonomous Vehicle Technology and Safety 3
- Vehicle emissions and performance 1
- Co-authors
- Oliver Pink (3 shared papers)Jennifer Dolson (1 shared paper)Michael Sokolsky (1 shared paper)Moritz Werling (1 shared paper)Dirk Langer (1 shared paper)Soeren Kammel (1 shared paper)David Held (1 shared paper)David Stavens (1 shared paper)
- Journals
- at - Automatisierungstechnik (1 paper)it - Information Technology (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jan Becker
6 papers receiving 904 citations
Jan Becker's Hit Papers
Peers
Comparison fields: 5 of 88
- Automotive Engineering 412
- Computer Vision and Pattern Recognition 408
- Instrumentation 52
- Geology 53
- Control and Systems Engineering 205
Countries citing papers authored by Jan Becker
This map shows the geographic impact of Jan Becker'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 Jan Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Becker more than expected).
Fields of papers citing papers by Jan Becker
This network shows the impact of papers produced by Jan Becker. 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 Jan Becker. The network helps show where Jan Becker may publish in the future.
Co-authors
The 15 scholars most cited alongside Jan Becker, 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 | Towards fully autonomous driving: Systems and algorithms Hit paper breakdown → | 2011 | 911 |
| 2 | 2011 | 28 | |
| 3 | 2015 | 8 | |
| 4 | 2010 | 8 | |
| 5 | 2015 | 2 | |
| 6 | 2022 | 1 |
About Jan Becker
Jan Becker is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, having authored 6 papers that have together received 958 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Robotics and Sensor-Based Localization (2 papers), 3D Surveying and Cultural Heritage (1 paper), Vehicle emissions and performance (1 paper), 3D Shape Modeling and Analysis (1 paper), Real-Time Systems Scheduling (1 paper) and Flexible and Reconfigurable Manufacturing Systems (1 paper). The work is most often cited by research in Automotive Engineering (412 citations), Computer Vision and Pattern Recognition (408 citations), Instrumentation (52 citations), Geology (53 citations) and Control and Systems Engineering (205 citations). Jan Becker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Oliver Pink, Jennifer Dolson, Michael Sokolsky, Moritz Werling, Dirk Langer, Soeren Kammel, David Held, David Stavens, Alex Teichman and Sebastian Thrun. Their work appears in journals such as at - Automatisierungstechnik, it - Information Technology and Repository KITopen (Karlsruhe Institute of Technology).
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.