Matteo Rosati

461 total citations
19 papers, 252 citations indexed

About

Matteo Rosati is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Matteo Rosati has authored 19 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Matteo Rosati's work include Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (10 papers). Matteo Rosati is often cited by papers focused on Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (10 papers). Matteo Rosati collaborates with scholars based in Italy, Spain and Australia. Matteo Rosati's co-authors include Vittorio Giovannetti, Andrea Mari, John Calsamiglia, Michalis Skotiniotis, María García Díaz, Kun Fang, Xin Wang, Andreas Winter, Janis Nötzel and Giacomo De Palma and has published in prestigious journals such as Physical Review Letters, Nature Communications and Optics Letters.

In The Last Decade

Matteo Rosati

17 papers receiving 234 citations

Peers

Matteo Rosati
Comparison fields: 5 of 18
  • Artificial Intelligence 231
  • Atomic and Molecular Physics, and Optics 155
  • Electrical and Electronic Engineering 50
  • Computational Theory and Mathematics 14
  • Statistical and Nonlinear Physics 11
Replace Karl Mayer with:
Karl Mayer United States
Christos Zachariadis Netherlands
L. J. Stephenson United Kingdom
Kevin Reuer Switzerland
Bichen Zhang United States
Anthony Hayes Australia
Jacob C. Curtis United States
Kosuke Fukui Japan
H. M. Vasconcelos Brazil
Sven Jandura France
Karl Mayer United States View profile →
Citations per field, relative to Matteo Rosati
Matteo Rosati · 1×
Citations per year, relative to Matteo Rosati
Matteo Rosati · 1×

Countries citing papers authored by Matteo Rosati

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Rosati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Rosati

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Rosati. A scholar is included among the top collaborators of Matteo Rosati 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 Matteo Rosati. Matteo Rosati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 1
5 0
6 5
7 2
8 10
9 6
10 13
11 40
12 18
13 39
14 1
15 52
16 13
17 13
18 21
19 16

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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2026