Francesco Massa
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Biomedical Engineering
- Co-authors
- Lorenzo MarrucciC. de LisioFilippo CardanoEnrico SantamatoPhilip WaltherFabio SciarrinoEbrahim KarimiSergei Slussarenko
- Topics
- Quantum Information and Cryptography (5 papers)Quantum Computing Algorithms and Architecture (4 papers)Neural Networks and Reservoir Computing (3 papers)
- Partner nations
- AustriaItalyUnited States
In The Last Decade
Francesco Massa
9 papers receiving 383 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 260
- Atomic and Molecular Physics, and Optics 254
- Electrical and Electronic Engineering 133
- Computational Theory and Mathematics 30
- Biomedical Engineering 29
Countries citing papers authored by Francesco Massa
This map shows the geographic impact of Francesco Massa'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 Francesco Massa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Massa more than expected).
Fields of papers citing papers by Francesco Massa
This network shows the impact of papers produced by Francesco Massa. 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 Francesco Massa. The network helps show where Francesco Massa may publish in the future.
Co-authorship network of co-authors of Francesco Massa
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Massa. A scholar is included among the top collaborators of Francesco Massa 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 Francesco Massa. Francesco Massa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 102 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 111 | |
| 8 | 138 | |
| 9 | Quantum walks and quantum simulation of wavepacket dynamics with twisted photons | 2 |
About Francesco Massa
Francesco Massa is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Surfaces, Coatings and Films, having authored 9 papers that have together received 407 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (11 citations), Atomic and Molecular Physics, and Optics (254 citations) and Artificial Intelligence (260 citations). Francesco Massa has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Lorenzo Marrucci, C. de Lisio, Filippo Cardano, Enrico Santamato, Philip Walther, Fabio Sciarrino, Ebrahim Karimi, Sergei Slussarenko, Domenico Paparo and Robert W. Boyd. Their work appears in journals such as Nature Communications, Nature Photonics and Science Advances.
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.