Simone Piacentini

483 citations
21 papers · 302 · h-index 10

Impact in

Papers in

Simone Piacentini

20 papers receiving 280 citations

Peers

Simone Piacentini
Comparison fields: 5 of 42
  • Artificial Intelligence 167
  • Atomic and Molecular Physics, and Optics 97
  • Electrical and Electronic Engineering 174
  • Acoustics and Ultrasonics 2
  • Instrumentation 7
Replace Julián Martínez-Rincón with:
Julián Martínez-Rincón United States
Jiawei Meng United States
Charis Mesaritakis Greece
Sae Woo Nam United States
Matéj Hejda United Kingdom
Patrick Dumais Canada
Chenghao Feng United States
Benjamin Gmeiner Germany
Xavier Porté France
Simone Piacentini relative to Julián Martínez-Rincón United States Julián Martínez-Rincón's profile →
Citations per field
00.5×1.7×
Julián Martínez-Rincón · 1×
Citations per year

Countries citing papers authored by Simone Piacentini

Since Specialization
Citations

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

Fields of papers citing papers by Simone Piacentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Piacentini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Piacentini Line = papers co-authored together Simone Piacentini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 202331
3 202230
4 202219
5 202018
6 202416
7 202316
8 202415
9 202314
10 202110
11 20219
12 20246
13 20184
14 20223
15 20252
16 20242
17 20232
18 20211
19 20191
20 20201

About Simone Piacentini

Simone Piacentini is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics and Biomedical Engineering, having authored 21 papers that have together received 302 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (13 papers), Optical Network Technologies (8 papers), Quantum Information and Cryptography (7 papers), Photonic and Optical Devices (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Laser Material Processing Techniques (5 papers), Advanced Fiber Laser Technologies (5 papers) and Solid State Laser Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Atomic and Molecular Physics, and Optics (97 citations), Electrical and Electronic Engineering (174 citations), Acoustics and Ultrasonics (2 citations) and Instrumentation (7 citations). Simone Piacentini has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Roberto Osellame, Francesco Ceccarelli, Andrea Crespi, Giacomo Corrielli, Philip Walther, Michele Spagnolo, Francesco Massa, Nicolò Spagnolo, Fabio Sciarrino and Valeria Cimini. Their work appears in journals such as Nature Photonics, Applied Optics, Science Advances, Physical Review Research and npj Quantum Information.

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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