Alioscia Hamma
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 1%
- Condensed Matter Physics top 5%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Paolo ZanardiSalvatore F. E. OlivieroLorenzo LeoneRadu IonicioiuDaniel A. LidarLuis Pedro García-PintosGábor B. HalászEduardo R. Mucciolo
- Topics
- Quantum many-body systems (49 papers)Quantum Computing Algorithms and Architecture (34 papers)Quantum Information and Cryptography (29 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsComputational MathematicsStatistical and Nonlinear Physics
- Partner nations
- United StatesItalyCanada
In The Last Decade
Alioscia Hamma
70 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Atomic and Molecular Physics, and Optics 2.2k
- Artificial Intelligence 1.3k
- Statistical and Nonlinear Physics 636
- Condensed Matter Physics 426
- Nuclear and High Energy Physics 166
Countries citing papers authored by Alioscia Hamma
This map shows the geographic impact of Alioscia Hamma'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 Alioscia Hamma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alioscia Hamma more than expected).
Fields of papers citing papers by Alioscia Hamma
This network shows the impact of papers produced by Alioscia Hamma. 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 Alioscia Hamma. The network helps show where Alioscia Hamma may publish in the future.
Co-authorship network of co-authors of Alioscia Hamma
This figure shows the co-authorship network connecting the top 25 collaborators of Alioscia Hamma. A scholar is included among the top collaborators of Alioscia Hamma 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 Alioscia Hamma. Alioscia Hamma 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 | 4 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | Quantifying nonstabilizerness through entanglement spectrum flatnessbreakdown → | 52 |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 31 | |
| 11 | 39 | |
| 12 | 54 | |
| 13 | 74 | |
| 14 | 6 | |
| 15 | Stabilizer Rényi Entropybreakdown → | 162 |
| 16 | 15 | |
| 17 | 33 | |
| 18 | 4 | |
| 19 | 34 | |
| 20 | 24 |
About Alioscia Hamma
Alioscia Hamma is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Mathematics, having authored 76 papers that have together received 2.6k indexed citations. Recurring topics across this work include Quantum many-body systems (49 papers), Quantum Computing Algorithms and Architecture (34 papers) and Quantum Information and Cryptography (29 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.2k citations), Computational Mathematics (37 citations) and Statistical and Nonlinear Physics (636 citations). Alioscia Hamma has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Paolo Zanardi, Salvatore F. E. Oliviero, Lorenzo Leone, Radu Ionicioiu, Daniel A. Lidar, Luis Pedro García-Pintos, Gábor B. Halász, Eduardo R. Mucciolo, Claudio Chamon and Francesco Caravelli. Their work appears in journals such as Physical Review Letters, Physical Review B 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.