Philippe Giguère

2.5k citations
59 papers · 1.6k indexed · 1 hit paper · h-index 20

Philippe Giguère

57 papers receiving 1.5k citations

Hit Papers

MixVPR: Feature Mixing for Visual Place Recognition1032023202620242025255075100

Peers

Philippe Giguère
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 498
  • Ocean Engineering 369
  • Aerospace Engineering 559
  • Geology 109
  • Human-Computer Interaction 107
Replace Iván F. Mondragón with:
Iván F. Mondragón Colombia
George Kantor United States
Jean‐Christophe Zufferey Switzerland
Karsten Berns Germany
Dezhen Song United States
Lindsay Kleeman Australia
Jacopo Aleotti Italy
Alberto Ortiz Spain
Peng Wang China
Philippe Giguère relative to Iván F. Mondragón Colombia Iván F. Mondragón's profile →
Citations per field
00.5×3.4×
Iván F. Mondragón · 1×
Citations per year

Countries citing papers authored by Philippe Giguère

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Giguère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philippe Giguère, 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 Philippe Giguère Line = papers co-authored together Philippe Giguère links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20241
4 20242
5 20241
6 202410
7 20233
8 202213
9 202218
10 202022
11 201845
12 20172
13 201615
14 20152
15 201456
16
Accelerated robust point cloud registration in natural environments through positive and unlabeled learning
20136
17 201313
18 20117
19 2005103
20 200525

About Philippe Giguère

Philippe Giguère is a scholar working on Aerospace Engineering, Geology and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (26 papers), Underwater Vehicles and Communication Systems (13 papers), Remote Sensing and LiDAR Applications (9 papers), Robot Manipulation and Learning (7 papers), Robotic Path Planning Algorithms (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotic Locomotion and Control (7 papers) and 3D Surveying and Cultural Heritage (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Ocean Engineering (369 citations) and Aerospace Engineering (559 citations). Philippe Giguère has collaborated with scholars based in Canada, France and Sweden. Frequent co-authors include Gregory Dudek, Brahim Chaib-draa, Rasmus Astrup, Chris Prahacs, Junaed Sattar, Yogesh Girdhar, François Laviolette, Shane Saunderson, François Pomerleau and Evangelos Milios. Their work appears in journals such as The International Journal of Robotics Research, Computer and Remote Sensing.

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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