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

Precision tomography of a three-qubit donor quantum proce... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Serwan Asaad Australia 7 286 183 115 49 30 9 362
Alex Opremcak United States 9 296 1.0× 288 1.6× 87 0.8× 74 1.5× 19 0.6× 11 417
Markus Jerger Australia 10 381 1.3× 225 1.2× 95 0.8× 25 0.5× 14 0.5× 16 419
Alexander Bilmes Germany 10 350 1.2× 249 1.4× 94 0.8× 109 2.2× 33 1.1× 14 437
Rhys G. Povey United States 13 354 1.2× 246 1.3× 93 0.8× 26 0.5× 38 1.3× 22 451
Gabriel Samach United States 5 456 1.6× 380 2.1× 58 0.5× 72 1.5× 28 0.9× 9 573
Nicholas Masluk United States 6 437 1.5× 343 1.9× 55 0.5× 99 2.0× 22 0.7× 7 499
Agustín Di Paolo United States 14 385 1.3× 374 2.0× 48 0.4× 59 1.2× 12 0.4× 19 520
Bharath Kannan United States 10 435 1.5× 301 1.6× 83 0.7× 60 1.2× 13 0.4× 11 551
Elena Ferraro Italy 13 391 1.4× 227 1.2× 124 1.1× 44 0.9× 6 0.2× 33 429
Benjamin J. Chapman United States 11 279 1.0× 216 1.2× 114 1.0× 31 0.6× 12 0.4× 14 371

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

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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