Pascal Picart

3.4k citations
144 papers · 2.3k indexed · h-index 28

Impact in

Papers in

Pascal Picart

135 papers receiving 2.2k citations

Peers

Pascal Picart
Comparison fields: 5 of 97
  • Media Technology 1.0k
  • Computer Vision and Pattern Recognition 1.2k
  • Atomic and Molecular Physics, and Optics 1.6k
  • Acoustics and Ultrasonics 38
  • Biophysics 110
Replace Werner Jüptner with:
Werner Jüptner Germany
Małgorzata Kujawińska Poland
Thomas Kreis Germany
Ulf Schnars Germany
Manoj Kumar India
Krzysztof Patorski Poland
Katherine Creath United States
Jianglei Di China
Roland Lawrence United States
Maciej Trusiak Poland
Pascal Picart relative to Werner Jüptner Germany Werner Jüptner's profile →
Citations per field
00.5×5.1×
Werner Jüptner · 1×
Citations per year

Countries citing papers authored by Pascal Picart

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Picart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2008135
3 201695
4 200384
5 200782
6 200879
7 200957
8 201655
9 200351
10 201048
11 200547
12 201045
13 202043
14 200836
15 200934
16 201334
17
Digital Holography
201234
18 200532
19 200532
20 201930

About Pascal Picart

Pascal Picart is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Acoustics and Ultrasonics and Mechanics of Materials, having authored 144 papers that have together received 2.3k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (92 papers), Optical measurement and interference techniques (70 papers), Advanced Optical Imaging Technologies (35 papers), Image Processing Techniques and Applications (26 papers), Advanced Vision and Imaging (25 papers), Microfluidic and Bio-sensing Technologies (9 papers), Thermography and Photoacoustic Techniques (8 papers) and Advanced Measurement and Metrology Techniques (8 papers). The work is most often cited by research in Media Technology (1.0k citations), Computer Vision and Pattern Recognition (1.2k citations), Atomic and Molecular Physics, and Optics (1.6k citations), Acoustics and Ultrasonics (38 citations) and Biophysics (110 citations). Pascal Picart has collaborated with scholars based in France, China and Tunisia. Frequent co-authors include Julien Leval, Patrice Tankam, Denis Mounier, Silvio Montrésor, Junchang Li, Jean-Michel Desse, Silvio Montrésor, Jean Desse, Pietro Ferraro and Pasquale Memmolo. Their work appears in journals such as Optics Express, Applied Optics, Optics Letters, Journal of the Optical Society of America A and Optics and Lasers in Engineering.

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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