Luca Mazzarella

721 total citations
16 papers, 396 citations indexed

About

Luca Mazzarella is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Luca Mazzarella has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computer Networks and Communications. Recurrent topics in Luca Mazzarella's work include Quantum Information and Cryptography (15 papers), Neural Networks and Reservoir Computing (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Luca Mazzarella is often cited by papers focused on Quantum Information and Cryptography (15 papers), Neural Networks and Reservoir Computing (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Luca Mazzarella collaborates with scholars based in United Kingdom, United States and Italy. Luca Mazzarella's co-authors include Daniel K. L. Oi, Jasminder S. Sidhu, Markus Krutzik, Mustafa Gündoğan, Giuseppe Vallone, Paolo Villoresi, John Rarity, Siddarth Koduru Joshi, Francesco Ticozzi and Janik Wolters and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and Optics Express.

In The Last Decade

Luca Mazzarella

14 papers receiving 371 citations

Peers

Luca Mazzarella
Comparison fields: 5 of 35
  • Artificial Intelligence 315
  • Atomic and Molecular Physics, and Optics 258
  • Electrical and Electronic Engineering 84
  • Aerospace Engineering 36
  • Biomedical Engineering 36
Replace Jasminder S. Sidhu with:
Jasminder S. Sidhu United Kingdom
Thomas Brougham United Kingdom
Sebastian Nauerth Germany
Chris Erven United Kingdom
A. M. Vadiraj Canada
C. W. Sandbo Chang Canada
Matteo Schiavon Italy
Andrea Stanco Italy
Costantino Agnesi Italy
Jasminder S. Sidhu United Kingdom View profile →
Citations per field, relative to Luca Mazzarella
Luca Mazzarella · 1×
Citations per year, relative to Luca Mazzarella
Luca Mazzarella · 1×

Countries citing papers authored by Luca Mazzarella

Since Specialization
Citations

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

Fields of papers citing papers by Luca Mazzarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Mazzarella

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 7
3 152
4 71
5 0
6 50
7 3
8 35
9 8
10 9
11 12
12 3
13 5
14
Symmetrization for Quantum Networks: a Continuous-Time Approach ∗
6
15 31
16 4

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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