Pasquale Scarlino
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Condensed Matter Physics top 10%
- Materials Chemistry
- Co-authors
- Lieven M. K. VandersypenErika KawakamiMark FriesenS. N. CoppersmithD. E. SavageDaniel R. WardM. A. ErikssonM. G. Lagally
- Topics
- Quantum and electron transport phenomena (30 papers)Quantum Information and Cryptography (23 papers)Semiconductor Quantum Structures and Devices (20 papers)
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Pasquale Scarlino
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Atomic and Molecular Physics, and Optics 1.7k
- Artificial Intelligence 931
- Electrical and Electronic Engineering 743
- Condensed Matter Physics 162
- Materials Chemistry 116
Countries citing papers authored by Pasquale Scarlino
This map shows the geographic impact of Pasquale Scarlino'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 Pasquale Scarlino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Scarlino more than expected).
Fields of papers citing papers by Pasquale Scarlino
This network shows the impact of papers produced by Pasquale Scarlino. 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 Pasquale Scarlino. The network helps show where Pasquale Scarlino may publish in the future.
Co-authorship network of co-authors of Pasquale Scarlino
This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Scarlino. A scholar is included among the top collaborators of Pasquale Scarlino 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 Pasquale Scarlino. Pasquale Scarlino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 48 | |
| 13 | 3 | |
| 14 | 43 | |
| 15 | A programmable two-qubit quantum processor in siliconbreakdown → | 454 |
| 16 | 38 | |
| 17 | 10 | |
| 18 | Gate fidelity and coherence time of an electron spin in a Si/SiGe quantum dot | 1 |
| 19 | 29 | |
| 20 | Electrical control of a long-lived spin qubit in a Si/SiGe quantum dotbreakdown → | 342 |
About Pasquale Scarlino
Pasquale Scarlino is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (30 papers), Quantum Information and Cryptography (23 papers) and Semiconductor Quantum Structures and Devices (20 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.7k citations), Artificial Intelligence (931 citations) and Condensed Matter Physics (162 citations). Pasquale Scarlino has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Lieven M. K. Vandersypen, Erika Kawakami, Mark Friesen, S. N. Coppersmith, D. E. Savage, Daniel R. Ward, M. A. Eriksson, M. G. Lagally, Christian Reichl and W. Wegscheider. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.