Maxime Jacquot

72 papers receiving 3.2k citations

Peers

Maxime Jacquot
Comparison fields: 5 of 86
  • Atomic and Molecular Physics, and Optics 1.4k
  • Acoustics and Ultrasonics 39
  • Statistical and Nonlinear Physics 480
  • Artificial Intelligence 1.2k
  • Electrical and Electronic Engineering 1.6k
Replace Junji Ohtsubo with:
Junji Ohtsubo Japan
Songnian Fu China
Guy Verschaffelt Belgium
Silvano Donati Italy
Raymond G. Beausoleil United States
Lei Deng China
R. Meucci Italy
Matthias Heinrich Germany
Daniel A. Nolan United States
Ming Li China
Maxime Jacquot relative to Junji Ohtsubo Japan Junji Ohtsubo's profile →
Citations per field
00.5×10×13.2×
Junji Ohtsubo · 1×
Citations per year

Countries citing papers authored by Maxime Jacquot

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Jacquot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017314
2 2018278
3 2010275
4 2012203
5 2011188
6 2010154
7 2012149
8 2019137
9 2010119
10 2009113
11 2018109
12 201291
13 200987
14 202086
15 201280
16 200980
17 201456
18 199352
19 201651
20 201647

About Maxime Jacquot

Maxime Jacquot is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 75 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (19 papers), Photonic and Optical Devices (17 papers), Advanced Fiber Laser Technologies (15 papers), Laser Material Processing Techniques (13 papers), Optical Coherence Tomography Applications (13 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Optical Network Technologies (10 papers) and Image Processing Techniques and Applications (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.4k citations), Acoustics and Ultrasonics (39 citations), Statistical and Nonlinear Physics (480 citations), Artificial Intelligence (1.2k citations) and Electrical and Electronic Engineering (1.6k citations). Maxime Jacquot has collaborated with scholars based in France, Belgium and Spain. Frequent co-authors include Laurent Larger, John M. Dudley, François Courvoisier, Luca Furfaro, Yanne K. Chembo, P.-A. Lacourt, Luc Froehly, Daniel Brunner, M. K. Bhuyan and Romain Martinenghi. Their work appears in journals such as Optics Letters, Optics Express, Applied Physics Letters, Journal of the Optical Society of America A and Journal of the European Optical Society Rapid Publications.

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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