Jacob Lambert

1.9k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Jacob Lambert is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Jacob Lambert has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Jacob Lambert's work include Autonomous Vehicle Technology and Safety (4 papers), Robotics and Sensor-Based Localization (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Jacob Lambert is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Robotics and Sensor-Based Localization (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Jacob Lambert collaborates with scholars based in Japan and Canada. Jacob Lambert's co-authors include Alexander Carballo, Kazuya Takeda, Ekim Yurtsever, Eijiro Takeuchi, David Wong, Abraham Monrroy, Jonathan Kelly, Luis Yoichi Morales, Naoki Akai and Shinpei Kato and has published in prestigious journals such as IEEE Access, Sensors and Journal of Robotics and Mechatronics.

In The Last Decade

Jacob Lambert

8 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

2020 1.0k citations Ekim Yurtsever, Jacob Lambert et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jacob Lambert Japan	6	530	506	246	216	205	8	1.2k
Jan Becker Germany	4	411 0.8×	405 0.8×	184 0.7×	167 0.8×	173 0.8×	6	948
Ekim Yurtsever United States	10	677 1.3×	667 1.3×	200 0.8×	314 1.5×	213 1.0×	25	1.5k
Alex Teichman United States	10	481 0.9×	639 1.3×	316 1.3×	229 1.1×	190 0.9×	11	1.3k
Soeren Kammel Germany	8	426 0.8×	505 1.0×	226 0.9×	174 0.8×	189 0.9×	13	1.1k
Jennifer Dolson United States	8	467 0.9×	883 1.7×	270 1.1×	181 0.8×	219 1.1×	12	1.5k
Pietro Cerri Italy	21	703 1.3×	881 1.7×	297 1.2×	166 0.8×	257 1.3×	32	1.4k
Carlos Fernández Spain	17	456 0.9×	420 0.8×	153 0.6×	100 0.5×	150 0.7×	40	1.0k
Xinxin Du Singapore	10	562 1.1×	473 0.9×	170 0.7×	105 0.5×	117 0.6×	18	966
Diange Yang China	20	725 1.4×	472 0.9×	366 1.5×	193 0.9×	296 1.4×	76	1.6k
Dirk Langer United States	11	569 1.1×	674 1.3×	365 1.5×	221 1.0×	223 1.1×	23	1.4k

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-authorship network of co-authors of Jacob Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Lambert. A scholar is included among the top collaborators of Jacob Lambert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob Lambert. Jacob Lambert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Monrroy, Abraham, Jacob Lambert, Masato Edahiro, & Shinpei Kato. (2022). Single-Shot Intrinsic Calibration for Autonomous Driving Applications. Sensors. 22(5). 2067–2067. 3 indexed citations

2.

Carballo, Alexander, Abraham Monrroy, David Wong, et al.. (2021). Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm. 327–334. 16 indexed citations

3.

Lambert, Jacob, Alexander Carballo, Abraham Monrroy, et al.. (2020). Performance Analysis of 10 Models of 3D LiDARs for Automated Driving. IEEE Access. 8. 131699–131722. 62 indexed citations

4.

Yurtsever, Ekim, Jacob Lambert, Alexander Carballo, & Kazuya Takeda. (2020). A Survey of Autonomous Driving: Common Practices and Emerging Technologies. IEEE Access. 8. 58443–58469. 1019 indexed citations breakdown →

5.

Lambert, Jacob, Eijiro Takeuchi, & Kazuya Takeda. (2019). Optimizing Learned Object Detection on Point Clouds from 3D Lidars Through Range and Sparsity Information. 87. 407–413. 1 indexed citations

6.

Carballo, Alexander, Jacob Lambert, Luis Yoichi Morales, et al.. (2018). End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support. Journal of Robotics and Mechatronics. 30(4). 563–583. 18 indexed citations

7.

Lambert, Jacob, Luis Yoichi Morales, Naoki Akai, et al.. (2018). Tsukuba Challenge 2017 Dynamic Object Tracks Dataset for Pedestrian Behavior Analysis. Journal of Robotics and Mechatronics. 30(4). 598–612. 11 indexed citations

8.

Lambert, Jacob, et al.. (2015). The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter. 23–30. 31 indexed citations

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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