David Filliat

4.6k total citations · 2 hit papers
49 papers, 1.8k citations indexed

About

David Filliat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, David Filliat has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in David Filliat's work include Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robot Manipulation and Learning (9 papers). David Filliat is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robot Manipulation and Learning (9 papers). David Filliat collaborates with scholars based in France, Australia and United Kingdom. David Filliat's co-authors include Jean-Arcady Meyer, Stéphane Doncieux, Adrien Angeli, Natalia Díaz-Rodríguez, Timothée Lesort, Andrei Stoian, Vincenzo Lomonaco, Davide Maltoni, Xavier Lagorce and Sio-Hoï Ieng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pattern Recognition.

In The Last Decade

David Filliat

43 papers receiving 1.7k 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.

Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words

2008 371 citations David Filliat, Stéphane Doncieux et al. profile →
Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges

2019 288 citations Timothée Lesort, Vincenzo Lomonaco et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Filliat France	15	992	796	560	305	257	49	1.8k
Joydeep Biswas United States	17	692 0.7×	510 0.6×	360 0.6×	263 0.9×	217 0.8×	77	1.4k
Cornelia Fermüller United States	31	2.0k 2.0×	591 0.7×	500 0.9×	567 1.9×	433 1.7×	144	3.1k
Walterio Mayol‐Cuevas United Kingdom	25	1.3k 1.3×	770 1.0×	192 0.3×	237 0.8×	158 0.6×	111	1.9k
Stéphane Doncieux France	16	518 0.5×	540 0.7×	594 1.1×	137 0.4×	184 0.7×	57	1.4k
Matthew R. Walter United States	24	1.6k 1.6×	1.1k 1.3×	1.0k 1.8×	209 0.7×	600 2.3×	61	2.7k
Andrea Censi United States	23	1.0k 1.0×	1.3k 1.6×	373 0.7×	751 2.5×	312 1.2×	87	2.4k
Joseph Modayil Canada	16	554 0.6×	351 0.4×	906 1.6×	297 1.0×	341 1.3×	30	1.9k
Daniel Wägner Austria	23	1.6k 1.6×	796 1.0×	183 0.3×	342 1.1×	116 0.5×	70	2.3k
Pavlo Molchanov United States	21	1.6k 1.6×	226 0.3×	1.0k 1.8×	306 1.0×	286 1.1×	57	2.9k
Alex Zelinsky Australia	18	1.2k 1.2×	336 0.4×	208 0.4×	115 0.4×	221 0.9×	50	1.8k

Countries citing papers authored by David Filliat

Since Specialization

Citations

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

Fields of papers citing papers by David Filliat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Filliat

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

All Works

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20 of 20 papers shown

Chapoutot, Alexandre, et al.. (2025). A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation. 7858–7865.

Nguyen, Sao Mai, et al.. (2025). A comparative review of decision-making approaches for realistic event-driven environments. Discrete Event Dynamic Systems. 35(4). 301–334.

Franchi, Gianni, et al.. (2025). Robust trajectory forecasting in autonomous systems using mixtures of Student’s T-distributions with T-DistNet. Pattern Recognition. 165. 111524–111524.

Stulp, Freek, et al.. (2024). A probabilistic approach for learning and adapting shared control skills with the human in the loop. elib (German Aerospace Center). 15728–15734. 2 indexed citations

Franchi, Gianni, et al.. (2022). Latent Discriminant deterministic Uncertainty. arXiv (Cornell University). 1 indexed citations

Díaz-Rodríguez, Natalia, A. Lamas, Gianni Franchi, et al.. (2022). EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. arXiv (Cornell University). 62 indexed citations

Filliat, David, et al.. (2019). S-TRIGGER: Continual State Representation Learning via Self-Triggered\n Generative Replay. arXiv (Cornell University). 1 indexed citations

Lesort, Timothée, Vincenzo Lomonaco, Andrei Stoian, et al.. (2019). Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges. arXiv (Cornell University). 288 indexed citations breakdown →

Lesort, Timothée, Vincenzo Lomonaco, Andrei Stoian, et al.. (2019). Continual Learning for Robotics. arXiv (Cornell University). 10 indexed citations

10.

Lesort, Timothée, et al.. (2018). State representation learning for control: An overview. Neural Networks. 108. 379–392. 145 indexed citations

11.

Doncieux, Stéphane, David Filliat, Natalia Díaz-Rodríguez, et al.. (2018). Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics. 12. 59–59. 30 indexed citations

12.

Filliat, David, et al.. (2016). A Bayesian framework for preventive assistance at road intersections. 1128–1134. 4 indexed citations

13.

Bazeille, Stéphane, et al.. (2015). A Light Visual Mapping and Navigation Framework for Low-Cost Robots. SHILAP Revista de lepidopterología. 24(4). 505–524. 1 indexed citations

14.

Filliat, David, et al.. (2015). MCA-NMF: Multimodal Concept Acquisition with Non-Negative Matrix Factorization. PLoS ONE. 10(10). e0140732–e0140732. 11 indexed citations

15.

Ivaldi, Serena, Sao Mai Nguyen, Vincent Padois, et al.. (2014). Object Learning Through Active Exploration. HAL (Le Centre pour la Communication Scientifique Directe). 6(1). 56–72. 47 indexed citations

16.

Rives, Patrick, et al.. (2012). Topological segmentation of indoors/outdoors sequences of spherical views. 2. 4288–4295. 8 indexed citations

17.

Oudeyer, Pierre‐Yves, et al.. (2010). A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency. Human-Robot Interaction. 185–186. 1 indexed citations

18.

Oudeyer, Pierre‐Yves, et al.. (2010). Using mediator objects to easily and robustly teach visual objects to a robot. 1–1. 3 indexed citations

19.

Filliat, David, et al.. (2004). <title>Controlling the autonomy of a reconnaissance robot</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5422. 314–325. 3 indexed citations

20.

Filliat, David & Jean-Arcady Meyer. (2003). Map-based navigation in mobile robots:. Cognitive Systems Research. 4(4). 243–282. 146 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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