Pierre Duthon

669 citations
19 papers · 260 indexed · h-index 9
Topics
Advanced Neural Network Applications (6 papers)Advanced Optical Sensing Technologies (5 papers)Autonomous Vehicle Technology and Safety (4 papers)

In The Last Decade

Pierre Duthon

16 papers receiving 249 citations

Peers

Pierre Duthon
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 104
  • Instrumentation 86
  • Environmental Engineering 72
  • Automotive Engineering 68
  • Aerospace Engineering 55
Replace Julien Rebut with:
Julien Rebut France
Sinan Hasirlioglu Germany
Georg Kuschk Germany
Gaurav Pandey India
Paul Murcutt United Kingdom
Tuan-Hung Vu France
Michaël Meyer Germany
Xinxiang Zhang United States
Runwei Guan China
Sungdae Sim South Korea
Pierre Duthon relative to Julien Rebut France Julien Rebut's profile →
Citations per field
00.5×10×17×
Julien Rebut · 1×
Citations per year

Countries citing papers authored by Pierre Duthon

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Duthon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Duthon

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 4
5 7
6 1
7 0
8 19
9 4
10 31
11 8
12 13
13 15
14 90
15 32
16 5
17 3
18 8
19 16

About Pierre Duthon

Pierre Duthon is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 19 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Optical Sensing Technologies (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Instrumentation (86 citations), Acoustics and Ultrasonics (7 citations) and Automotive Engineering (68 citations). Pierre Duthon has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Michèle Colomb, Frédéric Bernardin, You Li, Javier Ibañez‐Guzmán, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastín, Frédéric Chausse, Guillaume Saint Pierre and Najoua Essoukri Ben Amara. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

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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