Fabio Franchini

110 total papers · 1.2k total citations
41 papers, 587 citations indexed

About

Fabio Franchini is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Fabio Franchini has authored 41 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 17 papers in Condensed Matter Physics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Fabio Franchini's work include Quantum many-body systems (27 papers), Physics of Superconductivity and Magnetism (13 papers) and Quantum and electron transport phenomena (8 papers). Fabio Franchini is often cited by papers focused on Quantum many-body systems (27 papers), Physics of Superconductivity and Magnetism (13 papers) and Quantum and electron transport phenomena (8 papers). Fabio Franchini collaborates with scholars based in Italy, Croatia and United States. Fabio Franchini's co-authors include S. M. Giampaolo, Alexander G. Abanov, Stefano Evangelisti, Francesco Ravanini, Elisa Ercolessi, V. E. Korepin, Leon A. Takhtajan, A. R. Its, Manoel Conde and John Power and has published in prestigious journals such as Physical Review Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Fabio Franchini

39 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
Fabio Franchini	462	159	155	95	56	41	587
G. J. Sreejith	530 1.1×	289 1.8×	122 0.8×	83 0.9×	49 0.9×	46	605
A. Yu. Zyuzin	536 1.2×	197 1.2×	43 0.3×	180 1.9×	67 1.2×	41	668
Alessio D’Errico	510 1.1×	30 0.2×	153 1.0×	39 0.4×	79 1.4×	24	582
Xin Guan	530 1.1×	242 1.5×	41 0.3×	86 0.9×	6 0.1×	45	684
Shiqiang Xia	518 1.1×	61 0.4×	29 0.2×	283 3.0×	119 2.1×	32	641
J. N. Hollenhorst	405 0.9×	42 0.3×	185 1.2×	54 0.6×	231 4.1×	21	607
Nikita Astrakhantsev	289 0.6×	143 0.9×	107 0.7×	44 0.5×	13 0.2×	28	508
Zhi Li	432 0.9×	132 0.8×	43 0.3×	128 1.3×	41 0.7×	58	559
Masahiro Sato	406 0.9×	171 1.1×	41 0.3×	38 0.4×	89 1.6×	26	507
Shiqi Xia	520 1.1×	54 0.3×	36 0.2×	225 2.4×	110 2.0×	41	607

Countries citing papers authored by Fabio Franchini

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Franchini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Franchini

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