Luca Innocenti

828 total citations
26 papers, 483 citations indexed

About

Luca Innocenti is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Luca Innocenti has authored 26 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Luca Innocenti's work include Quantum Information and Cryptography (16 papers), Neural Networks and Reservoir Computing (10 papers) and Quantum Computing Algorithms and Architecture (10 papers). Luca Innocenti is often cited by papers focused on Quantum Information and Cryptography (16 papers), Neural Networks and Reservoir Computing (10 papers) and Quantum Computing Algorithms and Architecture (10 papers). Luca Innocenti collaborates with scholars based in Italy, United Kingdom and Czechia. Luca Innocenti's co-authors include Nicolò Spagnolo, Fabio Sciarrino, Alessandro Ferraro, Mauro Paternostro, Taira Giordani, Alessia Suprano, Emanuele Polino, Fulvio Flamini, Niko Viggianiello and Marco Bentivegna and has published in prestigious journals such as Physical Review Letters, Nature Communications and Science Advances.

In The Last Decade

Luca Innocenti

25 papers receiving 461 citations

Peers

Luca Innocenti
Comparison fields: 5 of 52
  • Artificial Intelligence 321
  • Atomic and Molecular Physics, and Optics 264
  • Electrical and Electronic Engineering 128
  • Biomedical Engineering 84
  • Statistical and Nonlinear Physics 21
Replace Adetunmise C. Dada with:
Adetunmise C. Dada United Kingdom
Alessio D’Errico Canada
Nikola Šibalić United Kingdom
Daniel Giovannini United Kingdom
Urbasi Sinha India
Natalie Kostinski United States
Alexander Grimm France
Hai-Lin Yong China
J. A. W. van Houwelingen Switzerland
Ilaria Gianani Italy
Adetunmise C. Dada United Kingdom View profile →
Citations per field, relative to Luca Innocenti
Luca Innocenti · 1×
Citations per year, relative to Luca Innocenti
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Countries citing papers authored by Luca Innocenti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Innocenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Innocenti

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 0
3 17
4 1
5 1
6 23
7 12
8 7
9 3
10 11
11 4
12 11
13 15
14 102
15 18
16 2
17 59
18 1
19 84
20 7

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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