Dario Trevisan

98 total papers · 553 total citations
33 papers, 255 citations indexed

About

Dario Trevisan is a scholar working on Applied Mathematics, Mathematical Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dario Trevisan has authored 33 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Applied Mathematics, 11 papers in Mathematical Physics and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dario Trevisan's work include Geometric Analysis and Curvature Flows (11 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum Information and Cryptography (7 papers). Dario Trevisan is often cited by papers focused on Geometric Analysis and Curvature Flows (11 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum Information and Cryptography (7 papers). Dario Trevisan collaborates with scholars based in Italy, Russia and Denmark. Dario Trevisan's co-authors include Giacomo De Palma, Luigi Ambrosio, Vittorio Giovannetti, Michaël Goldman, Eugene Stepanov, Elia Brué, Valentino Magnani, Maurizio Pratelli, Giovanni Alberti and Vladimir Spokoiny and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and Communications in Mathematical Physics.

In The Last Decade

Dario Trevisan

29 papers receiving 244 citations

Author Peers

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

Author						Papers	Cites
Dario Trevisan	106	88	81	53	44	33	255
Wolfgang Gawronski	174 1.6×	29 0.3×	35 0.4×	46 0.9×	39 0.9×	34	308
Peter D Dragnev	166 1.6×	38 0.4×	33 0.4×	95 1.8×	40 0.9×	40	317
Paweł J. Szabłowski	135 1.3×	81 0.9×	30 0.4×	41 0.8×	13 0.3×	37	260
Roderick Wong	152 1.4×	14 0.2×	45 0.6×	66 1.2×	23 0.5×	20	311
Veronica Umanità	29 0.3×	152 1.7×	158 2.0×	88 1.7×	36 0.8×	27	320
Shawn X. Cui	62 0.6×	64 0.7×	83 1.0×	65 1.2×	55 1.3×	17	226
Н. В. Цилевич	57 0.5×	68 0.8×	15 0.2×	143 2.7×	64 1.5×	29	253
J. G. Wan	77 0.7×	14 0.2×	28 0.3×	46 0.9×	38 0.9×	18	253
Sicong Jing	51 0.5×	87 1.0×	144 1.8×	30 0.6×	73 1.7×	40	294
Charles N. Friedman	39 0.4×	43 0.5×	101 1.2×	103 1.9×	10 0.2×	21	259

Countries citing papers authored by Dario Trevisan

Since Specialization

Citations

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

Fields of papers citing papers by Dario Trevisan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Trevisan

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