Benoit Landry

493 total citations
14 papers, 312 citations indexed

About

Benoit Landry is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Benoit Landry has authored 14 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Benoit Landry's work include Robotic Path Planning Algorithms (5 papers), Guidance and Control Systems (3 papers) and Remote Sensing in Agriculture (2 papers). Benoit Landry is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Guidance and Control Systems (3 papers) and Remote Sensing in Agriculture (2 papers). Benoit Landry collaborates with scholars based in United States, France and Canada. Benoit Landry's co-authors include Marco Pavone, Russ Tedrake, Hongkai Dai, Robin Deits, Parastoo Abtahi, Junrui Yang, Pete Florence, Sean Follmer, James A. Landay and Étienne Belin and has published in prestigious journals such as Computers and Electronics in Agriculture, Machine Vision and Applications and Fluctuation and Noise Letters.

In The Last Decade

Benoit Landry

14 papers receiving 302 citations

Peers

Benoit Landry

CSE

HI

CVPR

CN

AE

Amir M. Ghalamzan E. United Kingdom

Christoph Engels Germany

Chong Tan China

Timothy Patten Austria

J. Bao China

João Filipe Ferreira Portugal

Marvin K. Bugeja Malta

Kuniyuki Takahashi Japan

Huazhe Xu China

Patrick Goh Malaysia

Amir M. Ghalamzan E. United Kingdom

Benoit Landry

248 ×2.3

CSE

14 ×0.2

HI

132 ×1.8

CVPR

36 ×0.5

CN

45 ×0.8

AE

Citations per year, relative to Benoit Landry Benoit Landry (= 1×) peers Amir M. Ghalamzan E.

Countries citing papers authored by Benoit Landry

Since Specialization

Citations

This map shows the geographic impact of Benoit Landry'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 Benoit Landry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoit Landry more than expected).

Fields of papers citing papers by Benoit Landry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoit Landry. 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 Benoit Landry. The network helps show where Benoit Landry may publish in the future.

Co-authorship network of co-authors of Benoit Landry

This figure shows the co-authorship network connecting the top 25 collaborators of Benoit Landry. A scholar is included among the top collaborators of Benoit Landry 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 Benoit Landry. Benoit Landry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Landry, Benoit, Hongkai Dai, & Marco Pavone. (2021). SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions.. 1105–1117. 4 indexed citations

2.

Dai, Hongkai, et al.. (2021). Lyapunov-stable neural-network control. 65 indexed citations

3.

Landry, Benoit, et al.. (2021). Vision-based Autonomous Disinfection of High-Touch Surfaces in Indoor Environments. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 263–270. 2 indexed citations

4.

Dai, Hongkai, Benoit Landry, Marco Pavone, & Russ Tedrake. (2020). Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems. 1274–1281. 23 indexed citations

5.

Landry, Benoit, Zachary Manchester, & Marco Pavone. (2019). A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. arXiv (Cornell University). 15. 2 indexed citations

6.

Abtahi, Parastoo, Benoit Landry, Junrui Yang, et al.. (2019). Beyond The Force. 1–13. 88 indexed citations

7.

Chen, Mo, et al.. (2018). Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming. 4409–4416. 11 indexed citations

8.

Landry, Benoit, et al.. (2018). Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming. 4325–4332. 10 indexed citations

9.

Ichter, Brian, Benoit Landry, Edward Schmerling, & Marco Pavone. (2017). Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.. arXiv (Cornell University). 3 indexed citations

10.

Landry, Benoit, Robin Deits, Pete Florence, & Russ Tedrake. (2016). Aggressive quadrotor flight through cluttered environments using mixed integer programming. 1469–1475. 60 indexed citations

11.

Landry, Benoit, et al.. (2015). On the value of the Kullback–Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands. Machine Vision and Applications. 27(5). 625–635. 11 indexed citations

12.

Landry, Benoit, Étienne Belin, Carolyne Dürr, et al.. (2014). Computer vision under inactinic light for hypocotyl–radicle separation with a generic gravitropism-based criterion. Computers and Electronics in Agriculture. 111. 12–17. 9 indexed citations

13.

Landry, Benoit, David Rousseau, Étienne Belin, Didier Demilly, & François Chapeau‐Blondeau. (2014). Simulation of image acquisition in machine vision dedicated to seedling elongation to validate image processing root segmentation algorithms. Computers and Electronics in Agriculture. 104. 84–92. 22 indexed citations

14.

Landry, Benoit, Étienne Belin, David Rousseau, & François Chapeau‐Blondeau. (2014). Information-Theoretic Modeling of Trichromacy Coding of Light Spectrum. Fluctuation and Noise Letters. 13(4). 1450025–1450025. 2 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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