Thomas Picot

703 citations
14 papers · 514 · h-index 10

Impact in

    • Quantum and electron transport phenomena
    • Quantum Mechanics and Applications
    • Mechanical and Optical Resonators
    • Quantum optics and atomic interactions
    • Cold Atom Physics and Bose-Einstein Condensates
    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture

Papers in

Thomas Picot

14 papers receiving 503 citations

Peers

Thomas Picot
Comparison fields: 5 of 44
  • Atomic and Molecular Physics, and Optics 420
  • Artificial Intelligence 354
  • Statistical and Nonlinear Physics 55
  • Condensed Matter Physics 25
  • Materials Chemistry 91
Replace A. J. Fotué with:
A. J. Fotué Cameroon
Kangxian Guo China
Hugo Ribeiro Germany
W. E. Shanks United States
Dingwei Zheng France
Richard Brierley United States
Andreas Dewes France
S. Turgut Türkiye
Francesco Petiziol Italy
Haifeng Yu China
Thomas Picot relative to A. J. Fotué Cameroon A. J. Fotué's profile →
Citations per field
00.5×1.5×2.3×
A. J. Fotué · 1×
Citations per year

Countries citing papers authored by Thomas Picot

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Picot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007186
2 2013121
3 200858
4 200834
5 202033
6 201718
7 202016
8 201912
9 201612
10 201010
11 20156
12 20174
13 20082
14 20132

About Thomas Picot

Thomas Picot is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Materials Chemistry and Electrical and Electronic Engineering, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum and electron transport phenomena (5 papers), Physics of Superconductivity and Magnetism (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Surface and Thin Film Phenomena (3 papers), Superconductivity in MgB2 and Alloys (2 papers), Quantum Mechanics and Applications (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (420 citations), Artificial Intelligence (354 citations), Statistical and Nonlinear Physics (55 citations), Condensed Matter Physics (25 citations) and Materials Chemistry (91 citations). Thomas Picot has collaborated with scholars based in France, Belgium and Netherlands. Frequent co-authors include P. C. de Groot, C. J. P. M. Harmans, J. E. Mooij, Shiro Saito, Adrian Lupaşcu, Diego Ristè, Göran Johansson, Julia Cramer, J Groen and Lars Tornberg. Their work appears in journals such as Physical Review B, Nanoscale, Physical Review Letters, Nature Physics and Journal of Alloys and Compounds.

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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