Frédéric Maire

2.1k total citations
83 papers, 1.2k citations indexed

About

Frédéric Maire is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Frédéric Maire has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 20 papers in Aerospace Engineering. Recurrent topics in Frédéric Maire's work include Robotics and Sensor-Based Localization (18 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotic Path Planning Algorithms (11 papers). Frédéric Maire is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotic Path Planning Algorithms (11 papers). Frédéric Maire collaborates with scholars based in Australia, France and Canada. Frédéric Maire's co-authors include Cameron Browne, Andry Rakotonirainy, Mohammad Naim Rastgoo, Vinod Chandran, Bahareh Nakisa, Luis Mejías, Juan Sandino, Felipé Gonzalez, Peter Caccetta and Conrad Sanderson and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Frédéric Maire

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Maire Australia 17 349 331 169 155 120 83 1.2k
Leonardo Trujillo Mexico 21 621 1.8× 410 1.2× 107 0.6× 89 0.6× 105 0.9× 125 1.5k
Yingjie Chen China 19 258 0.7× 671 2.0× 140 0.8× 95 0.6× 53 0.4× 142 1.5k
Meeko Oishi United States 21 191 0.5× 348 1.1× 339 2.0× 44 0.3× 92 0.8× 107 1.6k
Jesse S. Jin Australia 25 241 0.7× 1.2k 3.7× 161 1.0× 146 0.9× 279 2.3× 126 2.3k
Kwee-Bo Sim South Korea 16 406 1.2× 362 1.1× 57 0.3× 137 0.9× 354 3.0× 178 1.4k
Mauricio A. Álvarez Colombia 15 471 1.3× 136 0.4× 74 0.4× 130 0.8× 155 1.3× 80 1.3k
Xia Mao China 21 720 2.1× 572 1.7× 120 0.7× 903 5.8× 160 1.3× 112 2.1k
Gustavo Olague Mexico 20 372 1.1× 653 2.0× 218 1.3× 76 0.5× 66 0.6× 89 1.2k
Kandarpa Kumar Sarma India 18 365 1.0× 255 0.8× 140 0.8× 101 0.7× 72 0.6× 269 1.5k
Bor‐Chen Kuo Taiwan 23 430 1.2× 508 1.5× 51 0.3× 37 0.2× 92 0.8× 107 2.2k

Countries citing papers authored by Frédéric Maire

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Maire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Maire

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

All Works

20 of 20 papers shown
1.
Browne, Will N., et al.. (2025). Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning. IEEE Robotics and Automation Letters. 10(8). 8538–8545.
2.
Kusý, Branislav, et al.. (2022). Point Label Aware Superpixels for Multi-Species Segmentation of Underwater Imagery. IEEE Robotics and Automation Letters. 7(3). 8291–8298. 12 indexed citations
3.
Mejías, Luis, et al.. (2019). Flood Mapping with Convolutional Neural Networks Using Spatio-Contextual Pixel Information. Remote Sensing. 11(19). 2331–2331. 49 indexed citations
4.
Maire, Frédéric, et al.. (2018). Combining learning from demonstration and search algorithm for dynamic goal-directed assembly task planning. QUT ePrints (Queensland University of Technology). 2 indexed citations
5.
Maire, Frédéric, et al.. (2016). Control of an airborne tethered kite for energy production. QUT ePrints (Queensland University of Technology). 2 indexed citations
6.
Mejías, Luis, et al.. (2013). Automated marine mammal detection from aerial imagery. Murdoch Research Repository (Murdoch University). 1–5. 10 indexed citations
7.
Rakotonirainy, Andry, et al.. (2009). Fusion of In-Vehicle Sensor Data to Develop Intelligent Driver Training System (IDTS). QUT ePrints (Queensland University of Technology). 2009. 1 indexed citations
8.
Nantes, Alfredo, Ross Brown, & Frédéric Maire. (2008). A Framework for the Semi-Automatic Testing of Video Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4(1). 197–202. 19 indexed citations
9.
Sitte, Joaquin, et al.. (2007). Automatic Place Determination using Colour Histograms and Self-Organising Maps. 6 indexed citations
10.
Huang, Henry, et al.. (2007). Bearing-Only SLAM with Indistinguishable Landmarks. QUT ePrints (Queensland University of Technology). 2 indexed citations
11.
Maire, Frédéric, et al.. (2006). A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm. QUT ePrints (Queensland University of Technology). 25–30. 1 indexed citations
12.
Rakotonirainy, Andry, et al.. (2005). Reducing Driver Distraction through Software. QUT ePrints (Queensland University of Technology). 2 indexed citations
13.
Rakotonirainy, Andry & Frédéric Maire. (2005). Context-aware driving behaviour model. QUT ePrints (Queensland University of Technology). 2005. 6 indexed citations
14.
Maire, Frédéric & Vadim Bulitko. (2005). Apprenticeship Learning for Initial Value Functions in Reinforcement Learning. International Joint Conference on Artificial Intelligence. 3 indexed citations
15.
Rakotonirainy, Andry & Frédéric Maire. (2005). Context-aware driving behavioural model. Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation. 3 indexed citations
16.
Huang, Henry, et al.. (2005). Uncertainty analysis of a landmark initialization method for simultaneous localization and mapping. International Conference on Robotics and Automation. 1 indexed citations
17.
Maire, Frédéric, et al.. (2004). Automatic State Construction using Decision Tree for Reinforcement Learning Agents. QUT ePrints (Queensland University of Technology). 3 indexed citations
18.
Huang, Henry & Frédéric Maire. (2004). A Localization System Solely Based on Vision for Autonomous Lawnmowers. QUT ePrints (Queensland University of Technology). 1 indexed citations
19.
Maire, Frédéric. (1997). On the flat antichain conjecture.. Australas. J Comb.. 15. 241–246. 3 indexed citations
20.
Maire, Frédéric. (1997). A partial order for the M-of-N rule-extraction algorithm. IEEE Transactions on Neural Networks. 8(6). 1542–1544. 14 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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