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
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Christoph Stiller (2 shared papers)Julius Ziegler (1 shared paper)Holger Rapp (1 shared paper)Martin Lauer (1 shared paper)Frank Moosmann (1 shared paper)Andreas Geiger (1 shared paper)Tobias Strauß (1 shared paper)Bernd Kitt (3 shared papers)
- 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 307 citations
Peers
Comparison fields: 5 of 44
- Automotive Engineering 145
- Computer Vision and Pattern Recognition 142
- Transportation 39
- Control and Systems Engineering 102
- Aerospace Engineering 56
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 | 145 | |
| 2 | 2016 | 113 | |
| 3 | 2014 | 21 | |
| 4 | 2010 | 17 | |
| 5 | 2010 | 8 | |
| 6 | 2011 | 7 | |
| 7 | 2014 | 3 | |
| 8 | 2012 | 3 |
About Benjamin Ranft
Benjamin Ranft is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Hardware and Architecture, Aerospace Engineering and Signal Processing, having authored 8 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (2 papers), CCD and CMOS Imaging Sensors (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Image Processing Techniques (2 papers), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Automotive Engineering (145 citations), Computer Vision and Pattern Recognition (142 citations), Transportation (39 citations), Control and Systems Engineering (102 citations) and Aerospace Engineering (56 citations). Benjamin Ranft has collaborated with scholars based in Germany and United States. Frequent co-authors include Christoph Stiller, Julius Ziegler, Holger Rapp, Martin Lauer, Frank Moosmann, Andreas Geiger, Tobias Strauß, Bernd Kitt 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.