Matteo Rosati

461 citations
19 papers · 252 indexed · h-index 10
Topics
Quantum Information and Cryptography (16 papers)Quantum Computing Algorithms and Architecture (10 papers)Quantum Mechanics and Applications (10 papers)
Partner nations
ItalySpainAustralia

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
L. J. Stephenson United Kingdom
Christos Zachariadis Netherlands
Bichen Zhang United States
Anthony Hayes Australia
Kevin Reuer Switzerland
Sven Jandura France
H. M. Vasconcelos Brazil
Andy Z. Ding United States
Jacob C. Curtis United States
Matteo Rosati relative to Karl Mayer United States Karl Mayer's profile →
Citations per field
00.5×1.5×
Karl Mayer · 1×
Citations per year

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
#WorkIndexed 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

About Matteo Rosati

Matteo Rosati is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biophysics, having authored 19 papers that have together received 252 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (231 citations), Atomic and Molecular Physics, and Optics (155 citations) and Acoustics and Ultrasonics (2 citations). Matteo Rosati has collaborated with scholars based in Italy, Spain and Australia. Frequent 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. Their work appears in journals such as Physical Review Letters, Nature Communications and Optics Letters.

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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