Federico M. Spedalieri
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Astronomy and Astrophysics top 10%
- Co-authors
- Andrew C. DohertyPablo A. ParriloTameem AlbashDaniel A. LidarNicholas ChancellorSergio BoixoFrancisco D. MazzitelliAjey P. Jacob
- Topics
- Quantum Information and Cryptography (17 papers)Quantum Computing Algorithms and Architecture (16 papers)Neural Networks and Reservoir Computing (8 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Federico M. Spedalieri
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 873
- Atomic and Molecular Physics, and Optics 717
- Computational Theory and Mathematics 120
- Electrical and Electronic Engineering 93
- Astronomy and Astrophysics 69
Countries citing papers authored by Federico M. Spedalieri
This map shows the geographic impact of Federico M. Spedalieri'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 Federico M. Spedalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico M. Spedalieri more than expected).
Fields of papers citing papers by Federico M. Spedalieri
This network shows the impact of papers produced by Federico M. Spedalieri. 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 Federico M. Spedalieri. The network helps show where Federico M. Spedalieri may publish in the future.
Co-authorship network of co-authors of Federico M. Spedalieri
This figure shows the co-authorship network connecting the top 25 collaborators of Federico M. Spedalieri. A scholar is included among the top collaborators of Federico M. Spedalieri 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 Federico M. Spedalieri. Federico M. Spedalieri 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | 197 | |
| 9 | Experimental Signature of Programmable Quantum Annealing (Author's Manuscript) | 3 |
| 10 | 7 | |
| 11 | 46 | |
| 12 | 6 | |
| 13 | Optical Cluster-State Generation without Number-Resolving Photon Detectors | 1 |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 40 | |
| 17 | 77 | |
| 18 | Complete family of separability criteria (20 pages) | 19 |
| 19 | 2 | |
| 20 | 231 |
About Federico M. Spedalieri
Federico M. Spedalieri is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Artificial Intelligence (873 citations), Atomic and Molecular Physics, and Optics (717 citations) and Computational Mathematics (13 citations). Federico M. Spedalieri has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Andrew C. Doherty, Pablo A. Parrilo, Tameem Albash, Daniel A. Lidar, Nicholas Chancellor, Sergio Boixo, Francisco D. Mazzitelli, Ajey P. Jacob, Dmitri E. Nikonov and Vwani Roychowdhury. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review 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.