Jacob Lambert
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
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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 5
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- Advanced Optical Sensing Technologies 3
- Co-authors
- Kazuya Takeda (6 shared papers)Alexander Carballo (6 shared papers)Ekim Yurtsever (1 shared paper)Eijiro Takeuchi (6 shared papers)Abraham Monrroy (4 shared papers)David Wong (3 shared papers)Jonathan W. Kelly (1 shared paper)Naoki Akai (2 shared papers)
- Journals
- IEEE Access (2 papers)Sensors (1 paper)Journal of Robotics and Mechatronics (2 papers)arXiv (Cornell University) (1 paper)
In The Last Decade
Jacob Lambert
9 papers receiving 1.4k citations
Jacob Lambert's Hit Papers
Peers
Comparison fields: 5 of 92
- Automotive Engineering 614
- Computer Vision and Pattern Recognition 599
- Instrumentation 66
- Aerospace Engineering 282
- Geology 58
Countries citing papers authored by Jacob Lambert
This map shows the geographic impact of Jacob Lambert'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 Jacob Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Lambert more than expected).
Fields of papers citing papers by Jacob Lambert
This network shows the impact of papers produced by Jacob Lambert. 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 Jacob Lambert. The network helps show where Jacob Lambert may publish in the future.
Co-authors
The 13 scholars most cited alongside Jacob Lambert, 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 | A Survey of Autonomous Driving: Common Practices and Emerging Technologies Hit paper breakdown → | 2020 | 1253 |
| 2 | 2020 | 75 | |
| 3 | 2015 | 34 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 18 | |
| 6 | 2018 | 11 | |
| 7 | 2022 | 4 | |
| 8 | 2019 | 1 | |
| 9 | 2020 | 1 |
About Jacob Lambert
Jacob Lambert is a scholar working on Automotive Engineering, Instrumentation, Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Robotics and Sensor-Based Localization (4 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced Optical Sensing Technologies (3 papers), Advanced Neural Network Applications (2 papers), Advanced Vision and Imaging (2 papers), Optical measurement and interference techniques (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Automotive Engineering (614 citations), Computer Vision and Pattern Recognition (599 citations), Instrumentation (66 citations), Aerospace Engineering (282 citations) and Geology (58 citations). Jacob Lambert has collaborated with scholars based in Japan and Canada. Frequent co-authors include Kazuya Takeda, Alexander Carballo, Ekim Yurtsever, Eijiro Takeuchi, Abraham Monrroy, David Wong, Jonathan W. Kelly, Naoki Akai, Luis Yoichi Morales and Shinpei Kato. Their work appears in journals such as IEEE Access, Sensors, Journal of Robotics and Mechatronics and arXiv (Cornell University).
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.