Dominic Létourneau

1.9k citations
68 papers · 1.1k indexed · h-index 18

Dominic Létourneau

65 papers receiving 990 citations

Peers

Dominic Létourneau
Comparison fields: 5 of 90
  • Control and Systems Engineering 408
  • Computer Vision and Pattern Recognition 323
  • Human-Computer Interaction 77
  • Social Psychology 212
  • Signal Processing 106
Replace Antonio Sgorbissa with:
Antonio Sgorbissa Italy
Nak Young Chong Japan
Fulvio Mastrogiovanni Italy
Rolf Dieter Schraft Germany
Kai‐Tai Song Taiwan
Francisco Martí­n Spain
Horst–Michael Groß Germany
Nicola Bellotto United Kingdom
Anne Spalanzani France
Óscar Martínez Mozos Spain
Dominic Létourneau relative to Antonio Sgorbissa Italy Antonio Sgorbissa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dominic Létourneau

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Létourneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dominic Létourneau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dominic Létourneau Line = papers co-authored together Dominic Létourneau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20233
4 20231
5 202212
6 202210
7 20199
8 201710
9 20164
10 20144
11 20139
12 20081
13 200846
14
Embedded and Integrated Audition for a Mobile Robot
20061
15 200659
16 200617
17
Reactive planning in a motivated behavioral architecture
20059
18 200598
19
Performance Evaluation of Sensor Combinations on Mobile Robots for Automated Platoon Control
20046
20 20034

About Dominic Létourneau

Dominic Létourneau is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Social Psychology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (20 papers), Robotics and Automated Systems (19 papers), Robotic Path Planning Algorithms (16 papers), Robot Manipulation and Learning (11 papers), Teleoperation and Haptic Systems (10 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Locomotion and Control (8 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Control and Systems Engineering (408 citations), Computer Vision and Pattern Recognition (323 citations) and Human-Computer Interaction (77 citations). Dominic Létourneau has collaborated with scholars based in Canada, Switzerland and Australia. Frequent co-authors include François Michaud, Jean-Marc Valin, François Ferland, S. Caron, Pierre Lepage, Michel Lauria, François Grondin, Martin Lemay, Patrice Masson and Audrey Duquette. Their work appears in journals such as IEEE Intelligent Systems, Autonomous Robots, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, JMIR Rehabilitation and Assistive Technologies and IEEE Transactions on Intelligent Transportation Systems.

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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