Nicolas Le Bihan

4.7k citations
50 papers · 1.6k indexed · h-index 18

Nicolas Le Bihan

45 papers receiving 1.6k citations

Peers

Nicolas Le Bihan
Comparison fields: 5 of 82
  • Signal Processing 521
  • Applied Mathematics 376
  • Computer Vision and Pattern Recognition 375
  • Geophysics 318
  • Computational Theory and Mathematics 246
Replace M. Zuhair Nashed with:
M. Zuhair Nashed United States
Stephen J. Sangwine United Kingdom
J.A. Cadzow United States
Manfred Tasche Germany
Gabriele Steidl Germany
Gerlind Plonka Germany
Richard Tolimieri United States
D.M. Healy United States
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Nicolas Le Bihan relative to M. Zuhair Nashed United States M. Zuhair Nashed's profile →
Citations per field
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M. Zuhair Nashed · 1×
Citations per year

Countries citing papers authored by Nicolas Le Bihan

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Le Bihan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Le Bihan. 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 Nicolas Le Bihan. The network helps show where Nicolas Le Bihan may publish in the future.

Co-authorship network of co-authors of Nicolas Le Bihan

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Le Bihan. A scholar is included among the top collaborators of Nicolas Le Bihan 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 Nicolas Le Bihan. Nicolas Le Bihan 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
#WorkIndexed citations
1 27
2 5
3 0
4 10
5 9
6 10
7 99
8 6
9 7
10 1
11
The ℍ-analytic signal
1
12 30
13 254
14 40
15 127
16
Utilisation de la Transformée de Fourier Quaternionique en tatouage d'images couleur
0
17 42
18 3
19 2
20 4

About Nicolas Le Bihan

Nicolas Le Bihan is a scholar working on Signal Processing, Applied Mathematics and Acoustics and Ultrasonics, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (8 papers), Seismic Waves and Analysis (7 papers) and Mathematical Analysis and Transform Methods (7 papers). The work is most often cited by research in Computational Mathematics (42 citations), Signal Processing (521 citations) and Applied Mathematics (376 citations). Nicolas Le Bihan has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include Jérôme I. Mars, Stephen J. Sangwine, Sébastian Miron, Cécile Cornou, Manuel Hobiger, Jérôme Mars, Pierre‐Yves Bard, J.-M. Chassery, Patrick Bas and Sven Buchholz. Their work appears in journals such as Geophysical Research Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

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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