Antonio Mandarino
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Matteo G. A. ParisGiulio SalvatoriStefano OlivaresMatteo BinaMichele GrossiS. VallecorsaMarek ŻukowskiTamoghna Das
- Topics
- Quantum Information and Cryptography (20 papers)Quantum Computing Algorithms and Architecture (14 papers)Quantum Mechanics and Applications (13 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaPhysical Review APhysics Letters A
- Partner nations
- PolandItalySwitzerland
In The Last Decade
Antonio Mandarino
27 papers receiving 335 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 268
- Atomic and Molecular Physics, and Optics 264
- Statistical and Nonlinear Physics 69
- Electrical and Electronic Engineering 13
- Computer Networks and Communications 11
Countries citing papers authored by Antonio Mandarino
This map shows the geographic impact of Antonio Mandarino'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 Antonio Mandarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Mandarino more than expected).
Fields of papers citing papers by Antonio Mandarino
This network shows the impact of papers produced by Antonio Mandarino. 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 Antonio Mandarino. The network helps show where Antonio Mandarino may publish in the future.
Co-authorship network of co-authors of Antonio Mandarino
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Mandarino. A scholar is included among the top collaborators of Antonio Mandarino 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 Antonio Mandarino. Antonio Mandarino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 0 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 15 | |
| 20 | 35 |
About Antonio Mandarino
Antonio Mandarino is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 28 papers that have together received 343 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (20 papers), Quantum Computing Algorithms and Architecture (14 papers) and Quantum Mechanics and Applications (13 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (264 citations), Artificial Intelligence (268 citations) and Statistical and Nonlinear Physics (69 citations). Antonio Mandarino has collaborated with scholars based in Poland, Italy and Switzerland. Frequent co-authors include Matteo G. A. Paris, Giulio Salvatori, Stefano Olivares, Matteo Bina, Michele Grossi, S. Vallecorsa, Marek Żukowski, Tamoghna Das, Marcin Markiewicz and Claudia Benedetti. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical Review A and Physics Letters A.
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.