Jan Ben
Impact in
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Robotic Path Planning Algorithms 6
- Advanced Image and Video Retrieval Techniques 2
- Image and Object Detection Techniques 2
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
- Multimodal Machine Learning Applications 1
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- Robotics and Sensor-Based Localization 8
- Co-authors
- Urs Müller (6 shared papers)Beat Flepp (3 shared papers)Y. Le Cun (1 shared paper)Eric Cosatto (1 shared paper)Yann LeCun (6 shared papers)Pierre Sermanet (6 shared papers)Raia T. Hadsell (6 shared papers)Koray Kavukcuoglu (2 shared papers)
- Journals
- Journal of Field Robotics (2 papers)The MIT Press eBooks (1 paper)IFAC Proceedings Volumes (1 paper)Neural Information Processing Systems (2 papers)
- Partner nations
- United States
In The Last Decade
Jan Ben
8 papers receiving 632 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 420
- Automotive Engineering 206
- Aerospace Engineering 191
- Artificial Intelligence 187
- Control and Systems Engineering 83
Countries citing papers authored by Jan Ben
This map shows the geographic impact of Jan Ben'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 Ben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Ben more than expected).
Fields of papers citing papers by Jan Ben
This network shows the impact of papers produced by Jan Ben. 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 Ben. The network helps show where Jan Ben may publish in the future.
Co-authors
The 11 scholars most cited alongside Jan Ben, 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 | Off-Road Obstacle Avoidance through End-to-End Learning | 2005 | 331 |
| 2 | 2009 | 264 | |
| 3 | 2008 | 30 | |
| 4 | A multi-range vision strategy for autonomous offroad navigation | 2007 | 10 |
| 5 | 2007 | 9 | |
| 6 | 2008 | 8 | |
| 7 | 2007 | 8 | |
| 8 | Image Segmentation with Networks of Variable Scales | 1991 | 3 |
About Jan Ben
Jan Ben is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 663 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image and Object Detection Techniques (2 papers), Advanced Vision and Imaging (2 papers), Distributed Control Multi-Agent Systems (1 paper), Video Surveillance and Tracking Methods (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (420 citations), Automotive Engineering (206 citations), Aerospace Engineering (191 citations), Artificial Intelligence (187 citations) and Control and Systems Engineering (83 citations). Jan Ben has collaborated with scholars based in United States. Frequent co-authors include Urs Müller, Beat Flepp, Y. Le Cun, Eric Cosatto, Yann LeCun, Pierre Sermanet, Raia T. Hadsell, Koray Kavukcuoglu, Jefferson Y. Han and Alper Nabi Erkan. Their work appears in journals such as Journal of Field Robotics, The MIT Press eBooks, IFAC Proceedings Volumes and Neural Information Processing 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.