Gianluca Bertaina

71 total papers · 805 total citations
28 papers, 540 citations indexed

About

Gianluca Bertaina is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Gianluca Bertaina has authored 28 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 16 papers in Condensed Matter Physics and 2 papers in Artificial Intelligence. Recurrent topics in Gianluca Bertaina's work include Cold Atom Physics and Bose-Einstein Condensates (23 papers), Quantum, superfluid, helium dynamics (16 papers) and Physics of Superconductivity and Magnetism (15 papers). Gianluca Bertaina is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (23 papers), Quantum, superfluid, helium dynamics (16 papers) and Physics of Superconductivity and Magnetism (15 papers). Gianluca Bertaina collaborates with scholars based in Italy, Switzerland and United States. Gianluca Bertaina's co-authors include S. Giorgini, Sebastiano Pilati, Matthias Troyer, D. E. Galli, Michele Ceotto, Ettore Vitali, P. Pieri, Mário Motta, M. Rossi and Giovanni Di Liberto and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Gianluca Bertaina

27 papers receiving 531 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gianluca Bertaina 514 232 34 30 20 28 540
Wenhui Li 435 0.8× 200 0.9× 18 0.5× 11 0.4× 14 0.7× 18 476
Alexander Yu. Cherny 337 0.7× 106 0.5× 31 0.9× 36 1.2× 70 3.5× 40 475
Ye-Ryoung Lee 485 0.9× 194 0.8× 14 0.4× 16 0.5× 19 0.9× 19 533
A. N. Yudin 410 0.8× 186 0.8× 34 1.0× 15 0.5× 21 1.1× 38 463
C. J. Kennedy 452 0.9× 224 1.0× 16 0.5× 20 0.7× 17 0.8× 23 526
Biswaroop Mukherjee 514 1.0× 165 0.7× 15 0.4× 13 0.4× 29 1.4× 13 536
Timon Hilker 513 1.0× 224 1.0× 23 0.7× 26 0.9× 29 1.4× 16 575
Irakli Titvinidze 422 0.8× 281 1.2× 15 0.4× 38 1.3× 12 0.6× 25 453
Yunxiang Liao 435 0.8× 221 1.0× 15 0.4× 21 0.7× 93 4.7× 21 468
S. Jaakkola 397 0.8× 80 0.3× 32 0.9× 16 0.5× 18 0.9× 27 447

Countries citing papers authored by Gianluca Bertaina

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Bertaina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Bertaina

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Bertaina. A scholar is included among the top collaborators of Gianluca Bertaina 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 Gianluca Bertaina. Gianluca Bertaina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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