Dario Tamascelli
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Martin B. PlenioAndrea SmirneSusana F. HuelgaMatteo G. A. ParisClaudia BenedettiS. F. HuelgaMarco G. GenoniMatteo A. C. Rossi
- Topics
- Quantum Information and Cryptography (23 papers)Quantum Computing Algorithms and Architecture (15 papers)Spectroscopy and Quantum Chemical Studies (12 papers)
In The Last Decade
Dario Tamascelli
34 papers receiving 653 citations
Peers
Comparison fields: 5 of 45
- Atomic and Molecular Physics, and Optics 539
- Artificial Intelligence 433
- Statistical and Nonlinear Physics 131
- Electrical and Electronic Engineering 54
- Computational Theory and Mathematics 29
Countries citing papers authored by Dario Tamascelli
This map shows the geographic impact of Dario Tamascelli'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 Dario Tamascelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Tamascelli more than expected).
Fields of papers citing papers by Dario Tamascelli
This network shows the impact of papers produced by Dario Tamascelli. 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 Dario Tamascelli. The network helps show where Dario Tamascelli may publish in the future.
Co-authorship network of co-authors of Dario Tamascelli
This figure shows the co-authorship network connecting the top 25 collaborators of Dario Tamascelli. A scholar is included among the top collaborators of Dario Tamascelli 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 Dario Tamascelli. Dario Tamascelli 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 | 17 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 16 | |
| 6 | 31 | |
| 7 | 43 | |
| 8 | 69 | |
| 9 | 115 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 57 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 1 |
About Dario Tamascelli
Dario Tamascelli is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 35 papers that have together received 665 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (15 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (539 citations), Artificial Intelligence (433 citations) and Computational Mathematics (7 citations). Dario Tamascelli has collaborated with scholars based in Italy, Germany and Finland. Frequent co-authors include Martin B. Plenio, Andrea Smirne, Susana F. Huelga, Matteo G. A. Paris, Claudia Benedetti, S. F. Huelga, Marco G. Genoni, Matteo A. C. Rossi, Stefano Olivares and Francesco Albarelli. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics 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.