Hugues Thomas

622 total citations
8 papers, 148 citations indexed

About

Hugues Thomas is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Hugues Thomas has authored 8 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Hugues Thomas's work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Hugues Thomas is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Hugues Thomas collaborates with scholars based in Canada, United States and France. Hugues Thomas's co-authors include François Goulette, Beatriz Marcotegui, Jean‐Emmanuel Deschaud, Timothy D. Barfoot, Jian Zhang, Jian Zhang, Yao-Hung Hubert Tsai, David J. Yoon, Haowei Zhang and Nicholas Rhinehart and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

Hugues Thomas

6 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugues Thomas Canada	5	89	87	71	38	27	8	148
Aijin Li China	4	130 1.5×	113 1.3×	94 1.3×	111 2.9×	34 1.3×	4	274
Joris Guerry France	2	193 2.2×	181 2.1×	128 1.8×	62 1.6×	38 1.4×	2	274
Xavier Roynard France	5	222 2.5×	182 2.1×	121 1.7×	64 1.7×	46 1.7×	6	284
Ziyin Zeng China	10	130 1.5×	130 1.5×	134 1.9×	73 1.9×	14 0.5×	21	248
Zhipeng Cai China	6	145 1.6×	115 1.3×	18 0.3×	44 1.2×	72 2.7×	7	217
Gusi Te China	2	89 1.0×	109 1.3×	143 2.0×	96 2.5×	12 0.4×	2	229
Enxu Li Canada	7	111 1.2×	71 0.8×	116 1.6×	158 4.2×	69 2.6×	7	278
Roberto Toldo Italy	8	68 0.8×	111 1.3×	67 0.9×	166 4.4×	99 3.7×	14	271
Amin Zheng Hong Kong	7	89 1.0×	109 1.3×	148 2.1×	128 3.4×	14 0.5×	14	266
Gilles Gesquière France	8	20 0.2×	79 0.9×	58 0.8×	78 2.1×	25 0.9×	48	278

Countries citing papers authored by Hugues Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Hugues Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugues Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Hugues Thomas. A scholar is included among the top collaborators of Hugues Thomas 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 Hugues Thomas. Hugues Thomas 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.

Thomas, Hugues, et al.. (2025). DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation. IEEE Robotics and Automation Letters. 10(4). 4029–4036.

2.

Xu, Binbin, et al.. (2025). MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR.

3.

Thomas, Hugues, Yao-Hung Hubert Tsai, Timothy D. Barfoot, & Jian Zhang. (2024). KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. 5525–5535. 5 indexed citations

4.

Thomas, Hugues, Jian Zhang, & Timothy D. Barfoot. (2023). The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. IEEE Transactions on Robotics. 39(6). 4581–4599. 5 indexed citations

5.

Thomas, Hugues, et al.. (2023). SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. 1–8. 2 indexed citations

6.

Thomas, Hugues, et al.. (2022). Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. 2022 International Conference on Robotics and Automation (ICRA). 484–490. 10 indexed citations

7.

Yoon, David J., et al.. (2021). Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator. IEEE Robotics and Automation Letters. 6(2). 2130–2138. 10 indexed citations

8.

Thomas, Hugues, et al.. (2018). Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. arXiv (Cornell University). 390–398. 116 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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