Benjamin Ranft
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Advanced Vision and Imaging 5
- Video Surveillance and Tracking Methods 2
- Advanced Image Processing Techniques 2
- Robotic Path Planning Algorithms 1
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Christoph Stiller (2 shared papers)Julius Ziegler (1 shared paper)Martin Lauer (1 shared paper)Holger Rapp (1 shared paper)Frank Moosmann (1 shared paper)Andreas Geiger (1 shared paper)Bernd Kitt (3 shared papers)Tobias Strauß (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Vehicles (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Benjamin Ranft
8 papers receiving 326 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 153
- Computer Vision and Pattern Recognition 149
- Transportation 39
- Control and Systems Engineering 108
- Aerospace Engineering 61
Countries citing papers authored by Benjamin Ranft
This map shows the geographic impact of Benjamin Ranft'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 Benjamin Ranft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Ranft more than expected).
Fields of papers citing papers by Benjamin Ranft
This network shows the impact of papers produced by Benjamin Ranft. 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 Benjamin Ranft. The network helps show where Benjamin Ranft may publish in the future.
Co-authors
The 9 scholars most cited alongside Benjamin Ranft, 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 | 2012 | 151 | |
| 2 | 2016 | 120 | |
| 3 | 2014 | 23 | |
| 4 | 2010 | 18 | |
| 5 | 2010 | 9 | |
| 6 | 2011 | 9 | |
| 7 | 2014 | 3 | |
| 8 | 2012 | 3 |
About Benjamin Ranft
Benjamin Ranft is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications, having authored 8 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Video Surveillance and Tracking Methods (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Image Processing Techniques (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Automotive Engineering (153 citations), Computer Vision and Pattern Recognition (149 citations), Transportation (39 citations), Control and Systems Engineering (108 citations) and Aerospace Engineering (61 citations). Benjamin Ranft has collaborated with scholars based in Germany and United States. Frequent co-authors include Christoph Stiller, Julius Ziegler, Martin Lauer, Holger Rapp, Frank Moosmann, Andreas Geiger, Bernd Kitt, Tobias Strauß and Henning Lategahn. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles and IEEE Transactions on Intelligent Transportation Systems.
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.