Paul Huillery
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Materials Chemistry
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Nicola MalossiO. MorschE. ArimondoD. CiampiniMark G. BasonMatthieu ViteauRosario FazioVittorio Giovannetti
- Topics
- Diamond and Carbon-based Materials Research (11 papers)Cold Atom Physics and Bose-Einstein Condensates (10 papers)Atomic and Subatomic Physics Research (7 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- FranceUnited KingdomItaly
In The Last Decade
Paul Huillery
22 papers receiving 835 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 780
- Artificial Intelligence 363
- Materials Chemistry 118
- Statistical and Nonlinear Physics 118
- Electrical and Electronic Engineering 44
Countries citing papers authored by Paul Huillery
This map shows the geographic impact of Paul Huillery'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 Paul Huillery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Huillery more than expected).
Fields of papers citing papers by Paul Huillery
This network shows the impact of papers produced by Paul Huillery. 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 Paul Huillery. The network helps show where Paul Huillery may publish in the future.
Co-authorship network of co-authors of Paul Huillery
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Huillery. A scholar is included among the top collaborators of Paul Huillery 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 Paul Huillery. Paul Huillery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 34 | |
| 7 | 22 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 30 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 119 | |
| 18 | 51 | |
| 19 | 60 | |
| 20 | High-fidelity quantum drivingbreakdown → | 343 |
About Paul Huillery
Paul Huillery is a scholar working on Atomic and Molecular Physics, and Optics, Geophysics and Materials Chemistry, having authored 22 papers that have together received 863 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (11 papers), Cold Atom Physics and Bose-Einstein Condensates (10 papers) and Atomic and Subatomic Physics Research (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (780 citations), Artificial Intelligence (363 citations) and Statistical and Nonlinear Physics (118 citations). Paul Huillery has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Nicola Malossi, O. Morsch, E. Arimondo, D. Ciampini, Mark G. Bason, Matthieu Viteau, Rosario Fazio, Vittorio Giovannetti, R. Mannella and P. Pillet. Their work appears in journals such as Physical Review Letters, Carbon and Nature Physics.
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.