Luca Mancino

457 total citations
16 papers, 277 citations indexed

About

Luca Mancino is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Luca Mancino has authored 16 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Atomic and Molecular Physics, and Optics and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Luca Mancino's work include Quantum Information and Cryptography (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Quantum Mechanics and Applications (6 papers). Luca Mancino is often cited by papers focused on Quantum Information and Cryptography (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Quantum Mechanics and Applications (6 papers). Luca Mancino collaborates with scholars based in Italy, United Kingdom and France. Luca Mancino's co-authors include Marco Barbieri, Marco Sbroscia, Ilaria Gianani, Mauro Paternostro, Emanuele Roccia, Paolo Mataloni, Vasco Cavina, Vittorio Giovannetti, Antonella De Pasquale and Mario A. Ciampini and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Luca Mancino

16 papers receiving 273 citations

Peers

Luca Mancino
Comparison fields: 5 of 26
  • Atomic and Molecular Physics, and Optics 218
  • Artificial Intelligence 193
  • Statistical and Nonlinear Physics 163
  • Electrical and Electronic Engineering 16
  • Materials Chemistry 11
Replace P. M. Harrington with:
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Ali Asadian Austria
Changliang Ren China
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Kimmo Luoma Germany
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P. M. Harrington United States View profile →
Citations per field, relative to Luca Mancino
Luca Mancino · 1×
Citations per year, relative to Luca Mancino
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Countries citing papers authored by Luca Mancino

Since Specialization
Citations

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

Fields of papers citing papers by Luca Mancino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Mancino

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mancino. A scholar is included among the top collaborators of Luca Mancino 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 Mancino. Luca Mancino 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 21
2 6
3 26
4
Nonequilibrium readiness and precision of Gaussian quantum thermometers
17
5 20
6 2
7 14
8 18
9 15
10 6
11 41
12 19
13 39
14 31
15 1
16 1

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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