Gianmaria Milani

15 total papers · 1.2k total citations
6 papers, 750 citations indexed

About

Gianmaria Milani is a scholar working on Atomic and Molecular Physics, and Optics, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Gianmaria Milani has authored 6 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Gianmaria Milani's work include Advanced Frequency and Time Standards (6 papers), Atomic and Subatomic Physics Research (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). Gianmaria Milani is often cited by papers focused on Advanced Frequency and Time Standards (6 papers), Atomic and Subatomic Physics Research (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). Gianmaria Milani collaborates with scholars based in Italy, United States and South Korea. Gianmaria Milani's co-authors include Roger C. Brown, N. Hinkley, Robert Fasano, Tai Hyun Yoon, William F. McGrew, K. Beloy, M. Schioppo, Andrew D. Ludlow, Daniele Nicolodi and X. Zhang and has published in prestigious journals such as Nature, Physical Review Letters and Nature Photonics.

In The Last Decade

Gianmaria Milani

5 papers receiving 693 citations

Hit Papers

Atomic clock performance ... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Gianmaria Milani 728 75 59 43 31 6 750
Manoj Das 605 0.8× 65 0.9× 83 1.4× 56 1.3× 26 0.8× 7 622
Stefan Alaric Schäffer 643 0.9× 66 0.9× 64 1.1× 39 0.9× 24 0.8× 19 670
Rees McNally 804 1.1× 64 0.9× 54 0.9× 35 0.8× 31 1.0× 8 837
Ryoichi Higashi 659 0.9× 113 1.5× 52 0.9× 24 0.6× 14 0.5× 12 703
Jwo-Sy Chen 638 0.9× 68 0.9× 64 1.1× 27 0.6× 11 0.4× 12 701
A. Clairon 609 0.8× 127 1.7× 66 1.1× 22 0.5× 17 0.5× 9 641
B.C. Young 816 1.1× 154 2.1× 100 1.7× 11 0.3× 80 2.6× 12 841
H. Marion 789 1.1× 48 0.6× 106 1.8× 31 0.7× 16 0.5× 17 874
C. Mandache 583 0.8× 51 0.7× 63 1.1× 14 0.3× 39 1.3× 19 651
L. Hollberg 657 0.9× 165 2.2× 33 0.6× 6 0.1× 10 0.3× 13 720

Countries citing papers authored by Gianmaria Milani

Since Specialization
Citations

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

Fields of papers citing papers by Gianmaria Milani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianmaria Milani

This figure shows the co-authorship network connecting the top 25 collaborators of Gianmaria Milani. A scholar is included among the top collaborators of Gianmaria Milani 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 Gianmaria Milani. Gianmaria Milani 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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