Jacob Lambert

1.9k citations
8 papers · 1.2k · 1 hit paper · h-index 6

Impact in

Papers in

Jacob Lambert

8 papers receiving 1.2k citations

Jacob Lambert's Hit Papers

A Survey of Autonomous Driving: Common Practices and Emerging Technologies 2020 · 1.1k citations
1.1k0+2+4Years since publication2505007501000

Peers

Jacob Lambert
Comparison fields: 5 of 90
  • Automotive Engineering 547
  • Computer Vision and Pattern Recognition 525
  • Instrumentation 60
  • Aerospace Engineering 257
  • Geology 55
Replace Jan Becker with:
Jan Becker Germany
Ekim Yurtsever United States
Jennifer Dolson United States
Soeren Kammel Germany
Alex Teichman United States
Di Feng Germany
David Stavens United States
Denis F. Wolf Brazil
Carlos Fernández Spain
Jacob Lambert relative to Jan Becker Germany Jan Becker's profile →
Citations per field
00.5×7.1×
Jan Becker · 1×
Citations per year

Countries citing papers authored by Jacob Lambert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jacob Lambert Line = papers co-authored together Jacob Lambert links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Hit paper breakdown →
20201074
2 202069
3 201532
4 201818
5 202116
6 201811
7 20224
8 20191

About Jacob Lambert

Jacob Lambert is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Environmental Engineering and Instrumentation, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced Optical Sensing Technologies (2 papers), Advanced Vision and Imaging (2 papers), Evacuation and Crowd Dynamics (1 paper), Optical measurement and interference techniques (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Automotive Engineering (547 citations), Computer Vision and Pattern Recognition (525 citations), Instrumentation (60 citations), Aerospace Engineering (257 citations) and Geology (55 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 Kelly, Naoki Akai, Shinpei Kato and Luis Yoichi Morales. Their work appears in journals such as IEEE Access, Sensors and Journal of Robotics and Mechatronics.

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.

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