Gianluca Passarelli

54 total papers · 426 total citations
22 papers, 245 citations indexed

About

Gianluca Passarelli is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gianluca Passarelli has authored 22 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 16 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Gianluca Passarelli's work include Quantum Information and Cryptography (14 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum many-body systems (11 papers). Gianluca Passarelli is often cited by papers focused on Quantum Information and Cryptography (14 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum many-body systems (11 papers). Gianluca Passarelli collaborates with scholars based in Italy, United States and United Kingdom. Gianluca Passarelli's co-authors include Procolo Lucignano, Rosario Fazio, V. Cataudella, Angelo Russomanno, Daniel A. Lidar, Hidetoshi Nishimori, G. De Filippis, Marco Schiró, Xhek Turkeshi and Giovanni Cantele and has published in prestigious journals such as Physical Review Letters, Applied Soft Computing and New Journal of Physics.

In The Last Decade

Gianluca Passarelli

21 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Gianluca Passarelli	160	155	42	22	21	22	245
Tatsuhiko Shirai	139 0.9×	208 1.3×	77 1.8×	20 0.9×	24 1.1×	24	303
Adrian Hutter	171 1.1×	192 1.2×	24 0.6×	26 1.2×	36 1.7×	17	246
Jun Wang	142 0.9×	184 1.2×	66 1.6×	49 2.2×	19 0.9×	17	322
Marius Nagy	246 1.5×	210 1.4×	22 0.5×	8 0.4×	40 1.9×	31	305
Yimin Ge	212 1.3×	215 1.4×	45 1.1×	21 1.0×	37 1.8×	11	299
Łukasz Pawela	164 1.0×	135 0.9×	53 1.3×	6 0.3×	27 1.3×	32	251
Johannes Bausch	150 0.9×	126 0.8×	22 0.5×	17 0.8×	40 1.9×	18	215
Chris N. Self	156 1.0×	161 1.0×	14 0.3×	47 2.1×	28 1.3×	13	243
Waldemar Kłobus	182 1.1×	224 1.4×	39 0.9×	50 2.3×	9 0.4×	21	270
Jing Chen	129 0.8×	181 1.2×	51 1.2×	58 2.6×	14 0.7×	15	283

Countries citing papers authored by Gianluca Passarelli

Since Specialization

Citations

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

Fields of papers citing papers by Gianluca Passarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Passarelli

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