Serwan Asaad
Impact in
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum and electron transport phenomena 7
- Quantum many-body systems 2
- Quantum optics and atomic interactions 1
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- Physics of Superconductivity and Magnetism 2
- Co-authors
- G. de Lange (1 shared paper)Alessandro Bruno (1 shared paper)Nathan K. Langford (1 shared paper)L. DiCarlo (1 shared paper)Andrea Morello (6 shared papers)Alexander Jakob (4 shared papers)Kohei M. Itoh (4 shared papers)David N. Jamieson (4 shared papers)
- Journals
- Nature Communications (1 paper)Physical review. E (1 paper)Applied Physics Letters (1 paper)Nature (1 paper)Physical Review Research (1 paper)
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Serwan Asaad
9 papers receiving 369 citations
Serwan Asaad's Hit Papers
Peers
Comparison fields: 5 of 27
- Atomic and Molecular Physics, and Optics 293
- Artificial Intelligence 185
- Condensed Matter Physics 52
- Electrical and Electronic Engineering 120
- Astronomy and Astrophysics 31
Countries citing papers authored by Serwan Asaad
This map shows the geographic impact of Serwan Asaad'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 Serwan Asaad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serwan Asaad more than expected).
Fields of papers citing papers by Serwan Asaad
This network shows the impact of papers produced by Serwan Asaad. 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 Serwan Asaad. The network helps show where Serwan Asaad may publish in the future.
Co-authors
The 25 scholars most cited alongside Serwan Asaad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Precision tomography of a three-qubit donor quantum processor in silicon Hit paper breakdown → | 2022 | 160 |
| 2 | 2015 | 131 | |
| 3 | 2019 | 21 | |
| 4 | 2024 | 18 | |
| 5 | 2018 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 1 |
About Serwan Asaad
Serwan Asaad is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (7 papers), Quantum Information and Cryptography (3 papers), Physics of Superconductivity and Magnetism (2 papers), Quantum many-body systems (2 papers), Quantum chaos and dynamical systems (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Superconducting and THz Device Technology (1 paper) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (293 citations), Artificial Intelligence (185 citations), Condensed Matter Physics (52 citations), Electrical and Electronic Engineering (120 citations) and Astronomy and Astrophysics (31 citations). Serwan Asaad has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include G. de Lange, Alessandro Bruno, Nathan K. Langford, L. DiCarlo, Andrea Morello, Alexander Jakob, Kohei M. Itoh, David N. Jamieson, Fay E. Hudson and Brett C. Johnson. Their work appears in journals such as Nature Communications, Physical review. E, Applied Physics Letters, Nature and Physical Review Research.
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.