Luca Ferialdi
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Nuclear and High Energy Physics
- Physiology
- Co-authors
- Angelo BassiLajos DiósiSandro DonadiAndrea SmirneHendrik UlbrichtMatteo CarlessoDirk-André DeckertMauro Paternostro
- Topics
- Quantum Information and Cryptography (17 papers)Quantum Mechanics and Applications (14 papers)Spectroscopy and Quantum Chemical Studies (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Luca Ferialdi
23 papers receiving 412 citations
Peers
Comparison fields: 5 of 30
- Atomic and Molecular Physics, and Optics 382
- Artificial Intelligence 291
- Statistical and Nonlinear Physics 167
- Nuclear and High Energy Physics 19
- Physiology 17
Countries citing papers authored by Luca Ferialdi
This map shows the geographic impact of Luca Ferialdi'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 Ferialdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Ferialdi more than expected).
Fields of papers citing papers by Luca Ferialdi
This network shows the impact of papers produced by Luca Ferialdi. 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 Ferialdi. The network helps show where Luca Ferialdi may publish in the future.
Co-authorship network of co-authors of Luca Ferialdi
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ferialdi. A scholar is included among the top collaborators of Luca Ferialdi 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 Ferialdi. Luca Ferialdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 56 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | Recursive approach for non-Markovian maps and their time convolutionless master equations | 1 |
| 10 | 17 | |
| 11 | 23 | |
| 12 | 59 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 53 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 28 | |
| 19 | 26 | |
| 20 | 26 |
About Luca Ferialdi
Luca Ferialdi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 24 papers that have together received 428 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Quantum Mechanics and Applications (14 papers) and Spectroscopy and Quantum Chemical Studies (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (167 citations), Atomic and Molecular Physics, and Optics (382 citations) and Artificial Intelligence (291 citations). Luca Ferialdi has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Angelo Bassi, Lajos Diósi, Sandro Donadi, Andrea Smirne, Hendrik Ulbricht, Matteo Carlesso, Dirk-André Deckert, Mauro Paternostro, C. Curceanu and D. Dürr. Their work appears in journals such as Physical Review Letters, Scientific Reports and Nature Physics.
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.