Frédéric Chausse

1.1k citations
46 papers · 703 · h-index 14

Impact in

Papers in

Frédéric Chausse

42 papers receiving 641 citations

Peers

Frédéric Chausse
Comparison fields: 5 of 60
  • Automotive Engineering 294
  • Computer Vision and Pattern Recognition 419
  • Aerospace Engineering 212
  • Instrumentation 22
  • Environmental Engineering 89
Replace Georg Tanzmeister with:
Georg Tanzmeister Germany
Chunzhao Guo Japan
Chuck Thorpe United States
Kiyosumi Kidono Japan
Takashi Naito Japan
Tao Wu China
Yeqiang Qian China
Naoki Akai Japan
Naoki Suganuma Japan
Clemens Rabe Germany
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Chausse

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Chausse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200181
2 200473
3 200270
4 200462
5 200555
6 200652
7 200245
8 200631
9 200623
10 200223
11 199521
12 202016
13 201616
14 201613
15 202211
16 20218
17 20108
18 20168
19 20177
20 20206

About Frédéric Chausse

Frédéric Chausse is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Automotive Engineering and Electrical and Electronic Engineering, having authored 46 papers that have together received 703 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Autonomous Vehicle Technology and Safety (10 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Advanced Vision and Imaging (9 papers), Video Surveillance and Tracking Methods (8 papers), Remote Sensing and LiDAR Applications (6 papers), Robotic Path Planning Algorithms (5 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Automotive Engineering (294 citations), Computer Vision and Pattern Recognition (419 citations), Aerospace Engineering (212 citations), Instrumentation (22 citations) and Environmental Engineering (89 citations). Frédéric Chausse has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Roland Chapuis, Romuald Aufrère, Massimo Bertozzi, Alberto Broggi, Romain Chapuis, A. Fascioli, Alessandro Tibaldi, Jean Laneurit, Michèle Colomb and Frédéric Bernardin. Their work appears in journals such as Machine Vision and Applications, The International Journal of Robotics Research, Atmosphere, Pattern Analysis and Applications and BMC Bioinformatics.

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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