Ilaria Gianani

114 total papers · 1.1k total citations
51 papers, 659 citations indexed

About

Ilaria Gianani is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ilaria Gianani has authored 51 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 36 papers in Atomic and Molecular Physics, and Optics and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Ilaria Gianani's work include Quantum Information and Cryptography (35 papers), Quantum Mechanics and Applications (17 papers) and Quantum Computing Algorithms and Architecture (14 papers). Ilaria Gianani is often cited by papers focused on Quantum Information and Cryptography (35 papers), Quantum Mechanics and Applications (17 papers) and Quantum Computing Algorithms and Architecture (14 papers). Ilaria Gianani collaborates with scholars based in Italy, United Kingdom and Germany. Ilaria Gianani's co-authors include Marco Barbieri, Marco G. Genoni, Francesco Albarelli, Marco Sbroscia, Luca Mancino, Emanuele Roccia, Fabio Sciarrino, Valeria Cimini, Nicolò Spagnolo and Paolo Mataloni and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Ilaria Gianani

45 papers receiving 640 citations

Author Peers

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

Author						Papers	Cites
Ilaria Gianani	498	457	149	65	64	51	659
Roberto de J. León‐Montiel	562 1.1×	399 0.9×	140 0.9×	118 1.8×	71 1.1×	59	762
Xinyu Zhao	530 1.1×	426 0.9×	72 0.5×	42 0.6×	134 2.1×	59	708
Xiaoxue Yang	639 1.3×	229 0.5×	84 0.6×	46 0.7×	110 1.7×	29	706
A. P. Alodjants	528 1.1×	284 0.6×	121 0.8×	80 1.2×	81 1.3×	84	702
Maxim A. Efremov	586 1.2×	290 0.6×	60 0.4×	25 0.4×	49 0.8×	38	637
Rafael M. Gomes	469 0.9×	387 0.8×	57 0.4×	21 0.3×	65 1.0×	33	597
Nora Tischler	523 1.1×	347 0.8×	85 0.6×	144 2.2×	90 1.4×	30	684
Francesco Albarelli	520 1.0×	525 1.1×	69 0.5×	19 0.3×	38 0.6×	29	636
James Schneeloch	476 1.0×	445 1.0×	69 0.5×	24 0.4×	78 1.2×	23	576
Shi-Long Liu	483 1.0×	221 0.5×	97 0.7×	73 1.1×	145 2.3×	52	647

Countries citing papers authored by Ilaria Gianani

Since Specialization

Citations

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

Fields of papers citing papers by Ilaria Gianani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Gianani

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