Vasco Cavina

49 total papers · 772 total citations
20 papers, 497 citations indexed

About

Vasco Cavina is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Vasco Cavina has authored 20 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 16 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in Vasco Cavina's work include Advanced Thermodynamics and Statistical Mechanics (16 papers), Quantum Information and Cryptography (12 papers) and Quantum Electrodynamics and Casimir Effect (7 papers). Vasco Cavina is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (16 papers), Quantum Information and Cryptography (12 papers) and Quantum Electrodynamics and Casimir Effect (7 papers). Vasco Cavina collaborates with scholars based in Italy, Luxembourg and Spain. Vasco Cavina's co-authors include Vittorio Giovannetti, Andrea Mari, Paolo Andrea Erdman, Antonella De Pasquale, Massimiliano Esposito, Fabio Taddei, A. Carlini, Gian Marcello Andolina, Rosario Fazio and Maximilian Keck and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Vasco Cavina

20 papers receiving 490 citations

Author Peers

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

Author						Papers	Cites
Vasco Cavina	397	316	233	88	41	20	497
Harry J. D. Miller	446 1.1×	321 1.0×	213 0.9×	92 1.0×	21 0.5×	20	490
Dibyendu Mandal	531 1.3×	255 0.8×	89 0.4×	49 0.6×	16 0.4×	14	577
Paolo Andrea Erdman	367 0.9×	376 1.2×	183 0.8×	119 1.4×	29 0.7×	24	613
Patrick P. Potts	351 0.9×	365 1.2×	262 1.1×	62 0.7×	15 0.4×	29	530
Gianluca Francica	351 0.9×	420 1.3×	288 1.2×	64 0.7×	17 0.4×	20	539
Bayan Karimi	369 0.9×	381 1.2×	260 1.1×	129 1.5×	23 0.6×	27	553
Mischa P. Woods	266 0.7×	406 1.3×	305 1.3×	58 0.7×	9 0.2×	24	507
Gatien Verley	491 1.2×	198 0.6×	32 0.1×	130 1.5×	49 1.2×	21	515
Keye Zhang	274 0.7×	538 1.7×	237 1.0×	105 1.2×	10 0.2×	43	609
Cyril Elouard	490 1.2×	446 1.4×	330 1.4×	97 1.1×	11 0.3×	27	585

Countries citing papers authored by Vasco Cavina

Since Specialization

Citations

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

Fields of papers citing papers by Vasco Cavina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasco Cavina

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