Thomas Gilles

467 total citations · 1 hit paper
9 papers, 273 citations indexed

About

Thomas Gilles is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Organic Chemistry. According to data from OpenAlex, Thomas Gilles has authored 9 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 1 paper in Organic Chemistry. Recurrent topics in Thomas Gilles's work include Advanced Vision and Imaging (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Video Surveillance and Tracking Methods (2 papers). Thomas Gilles is often cited by papers focused on Advanced Vision and Imaging (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Video Surveillance and Tracking Methods (2 papers). Thomas Gilles collaborates with scholars based in France, Germany and Canada. Thomas Gilles's co-authors include Bogdan Stanciulescu, Fabien Moutarde, Dzmitry Tsishkou, Stefano Sabatini, Bernhard Breit, Kun Xu, Nathan Piasco, Arnaud de La Fortelle, Dominique Beauvois and Guillaume Sandou and has published in prestigious journals such as Nature Communications, HAL (Le Centre pour la Communication Scientifique Directe) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Thomas Gilles

8 papers receiving 268 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.

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

2022 157 citations Thomas Gilles, Stefano Sabatini et al. 2022 International Conference on Robotics and Automation (ICRA) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Gilles France	5	137	84	83	59	51	9	273
Ziyuan Zhong United States	6	63 0.5×	23 0.3×	18 0.2×	12 0.2×	50 1.0×	11	180
Xingchen Song China	11	83 0.6×	19 0.2×	2 0.0×	3 0.1×	151 3.0×	28	372
Bo Lin China	6	152 1.1×	7 0.1×	3 0.0×	47 0.8×	10 0.2×	19	273
Ziyad M. Almohaimeed Saudi Arabia	7	6 0.0×	29 0.3×	7 0.1×	4 0.1×	71 1.4×	20	294
Kun-Yuan Huang Taiwan	8	6 0.0×	6 0.1×	7 0.1×	31 0.5×	27 0.5×	21	307
Zhenwen Liang United States	9	4 0.0×	108 1.3×	8 0.1×	2 0.0×	38 0.7×	18	221
Andrea Araldo France	9	141 1.0×	8 0.1×	2 0.0×	38 0.6×	12 0.2×	29	278
Chandani Sharma India	8	13 0.1×	8 0.1×	14 0.2×	2 0.0×	51 1.0×	38	169
Walther Wachenfeld Germany	5	111 0.8×	16 0.2×		6 0.1×	10 0.2×	7	130

Countries citing papers authored by Thomas Gilles

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Gilles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Gilles

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

All Works

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9 of 9 papers shown

1.

Diehl, Christopher, et al.. (2025). DIO: Decomposable Implicit 4D Occupancy-Flow World Model. 27456–27466.

2.

Casas, Sergio, et al.. (2024). UnO: Unsupervised Occupancy Fields for Perception and Forecasting. 14487–14496. 2 indexed citations

3.

Gilles, Thomas, et al.. (2023). TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 5 indexed citations

4.

Yang, Yi, et al.. (2023). RMP: A Random Mask Pretrain Framework for Motion Prediction. 3717–3723. 2 indexed citations

5.

Gilles, Thomas, et al.. (2023). ImPosing: Implicit Pose Encoding for Efficient Visual Localization. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2891–2901. 10 indexed citations

6.

Gilles, Thomas, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, & Fabien Moutarde. (2022). GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation. 2022 International Conference on Robotics and Automation (ICRA). 9107–9114. 157 indexed citations breakdown →

7.

Gilles, Thomas, et al.. (2022). Information Extraction from Visually Rich Documents with Font Style Embeddings. 2022 26th International Conference on Pattern Recognition (ICPR). 1657–1663. 1 indexed citations

8.

Gilles, Thomas, et al.. (2019). Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention.. 4 indexed citations

9.

Xu, Kun, Thomas Gilles, & Bernhard Breit. (2015). Asymmetric synthesis of N-allylic indoles via regio- and enantioselective allylation of aryl hydrazines. Nature Communications. 6(1). 92 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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