Patrick Navez

1.1k citations
39 papers · 800 · h-index 14

Impact in

Papers in

Patrick Navez

36 papers receiving 784 citations

Peers

Patrick Navez
Comparison fields: 5 of 30
  • Atomic and Molecular Physics, and Optics 753
  • Acoustics and Ultrasonics 13
  • Condensed Matter Physics 133
  • Artificial Intelligence 312
  • Statistical and Nonlinear Physics 78
Replace Manuele Landini with:
Manuele Landini Austria
C. S. Hofmann Germany
Micah Boyd United States
Francesco Piazza Germany
H. Schempp Germany
Tatjana Gericke Germany
Martin Robert-De-Saint-Vincent France
Katharina Lauber Austria
Igor B. Mekhov Russia
Antonio Rubio-Abadal Germany
Patrick Navez relative to Manuele Landini Austria Manuele Landini's profile →
Citations per field
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Manuele Landini · 1×
Citations per year

Countries citing papers authored by Patrick Navez

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Navez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005121
2 1997108
3 200683
4 200572
5 200352
6 201049
7 199949
8 201141
9 201435
10 200423
11 200120
12 201220
13 200517
14 201314
15 201414
16 199811
17 20038
18 20167
19 20097
20 20066

About Patrick Navez

Patrick Navez is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Spectroscopy, having authored 39 papers that have together received 800 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (22 papers), Quantum Information and Cryptography (15 papers), Quantum, superfluid, helium dynamics (14 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Quantum many-body systems (6 papers), Quantum Mechanics and Applications (6 papers), Physics of Superconductivity and Magnetism (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (753 citations), Acoustics and Ultrasonics (13 citations), Condensed Matter Physics (133 citations), Artificial Intelligence (312 citations) and Statistical and Nonlinear Physics (78 citations). Patrick Navez has collaborated with scholars based in Germany, Belgium and United Kingdom. Frequent co-authors include Nicolas J. Cerf, Ralf Schützhold, Konstantin V. Krutitsky, Mariusz Gajda, Kazimierz Rza̧żewski, Zbigniew Idziaszek, Kai Bongs, C. R. Becker, K. Sengstock and Jochen Kronjäger. Their work appears in journals such as Physical Review A, Physical Review Letters, Physical review. B., Physica A Statistical Mechanics and its Applications and New Journal of 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.

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