Serwan Asaad

628 total citations · 1 hit paper
9 papers, 362 citations indexed

About

Serwan Asaad is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Serwan Asaad has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 3 papers in Condensed Matter Physics and 3 papers in Artificial Intelligence. Recurrent topics in Serwan Asaad's work include Quantum and electron transport phenomena (7 papers), Quantum Information and Cryptography (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Serwan Asaad is often cited by papers focused on Quantum and electron transport phenomena (7 papers), Quantum Information and Cryptography (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Serwan Asaad collaborates with scholars based in Australia, Denmark and Japan. Serwan Asaad's co-authors include G. de Lange, Nathan K. Langford, L. DiCarlo, Alessandro Bruno, Andrea Morello, Alexander Jakob, David N. Jamieson, Kohei M. Itoh, Fay E. Hudson and Brett C. Johnson and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Serwan Asaad

9 papers receiving 352 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Precision tomography of a three-qubit donor quantum processor in silicon

2022 158 citations Mateusz Mądzik, Serwan Asaad et al. Nature profile →

Peers

Serwan Asaad

AMPO

AI

EEE

CMP

AA

Alex Opremcak United States

Markus Jerger Australia

Alexander Bilmes Germany

Rhys G. Povey United States

Gabriel Samach United States

Nicholas Masluk United States

Agustín Di Paolo United States

Bharath Kannan United States

Elena Ferraro Italy

Benjamin J. Chapman United States

Alex Opremcak United States

Serwan Asaad

296 ×1.0

AMPO

288 ×1.6

AI

87 ×0.8

EEE

74 ×1.5

CMP

19 ×0.6

AA

Citations per year, relative to Serwan Asaad Serwan Asaad (= 1×) peers Alex Opremcak

Countries citing papers authored by Serwan Asaad

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Serwan Asaad

This figure shows the co-authorship network connecting the top 25 collaborators of Serwan Asaad. A scholar is included among the top collaborators of Serwan Asaad 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 Serwan Asaad. Serwan Asaad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Asaad, Serwan, Mateusz Mądzik, Arne Laucht, et al.. (2025). Scalable entanglement of nuclear spins mediated by electron exchange. Science. 389(6766). 1234–1238. 1 indexed citations

2.

Asaad, Serwan, Vincent Mourik, Fay E. Hudson, et al.. (2024). Navigating the 16-dimensional Hilbert space of a high-spin donor qudit with electric and magnetic fields. Nature Communications. 15(1). 1380–1380. 16 indexed citations

3.

Geier, Max, et al.. (2024). Fermion-parity qubit in a proximitized double quantum dot. Physical Review Research. 6(2). 7 indexed citations

4.

Mądzik, Mateusz, Serwan Asaad, Akram Youssry, et al.. (2022). Precision tomography of a three-qubit donor quantum processor in silicon. Nature. 601(7893). 348–353. 158 indexed citations breakdown →

5.

Asaad, Serwan, et al.. (2022). Measuring out-of-time-ordered correlation functions without reversing time evolution. Physical review. A. 106(4). 15 indexed citations

6.

Asaad, Serwan. (2021). Electrical Control and Quantum Chaos with a High-Spin Nucleus in Silicon. Springer theses. 2 indexed citations

7.

Asaad, Serwan, Mateusz Mądzik, Arne Laucht, et al.. (2019). Electron spin relaxation of single phosphorus donors in metal-oxide-semiconductor nanoscale devices. Physical review. B.. 99(20). 20 indexed citations

8.

Mourik, Vincent, Serwan Asaad, J. Jarryd, et al.. (2018). Exploring quantum chaos with a single nuclear spin. Physical review. E. 98(4). 17 indexed citations

9.

Bruno, Alessandro, et al.. (2015). Reducing intrinsic loss in superconducting resonators by surface treatment and deep etching of silicon substrates. Applied Physics Letters. 106(18). 126 indexed citations

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.

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