Dominic J. Williamson
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 12
- Theoretical and Computational Physics 7
- Advanced Condensed Matter Physics 5
- Immunology top 5%
- Immunology and Allergy top 5%
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- Quantum many-body systems 29
- Quantum and electron transport phenomena 14
- Topological Materials and Phenomena 10
- Physiology top 5%
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- Quantum Computing Algorithms and Architecture 10
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- Algebraic structures and combinatorial models 6
- Co-authors
- M A VadasC. Glenn BegleyAngel F. LópezGG WongA M WaltersdorphJennifer R. GambleJohn M. HarlanS J Klebanoff
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Dominic J. Williamson
62 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Condensed Matter Physics 399
- Immunology 673
- Immunology and Allergy 162
- Atomic and Molecular Physics, and Optics 767
- Physiology 435
Countries citing papers authored by Dominic J. Williamson
This map shows the geographic impact of Dominic J. Williamson'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 Dominic J. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominic J. Williamson more than expected).
Fields of papers citing papers by Dominic J. Williamson
This network shows the impact of papers produced by Dominic J. Williamson. 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 Dominic J. Williamson. The network helps show where Dominic J. Williamson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dominic J. Williamson, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 45 | |
| 10 | 2019 | 32 | |
| 11 | 2018 | 50 | |
| 12 | 1997 | 24 | |
| 13 | 1997 | 79 | |
| 14 | 1996 | 1 | |
| 15 | 1991 | 13 | |
| 16 | 1989 | 4 | |
| 17 | 1988 | 18 | |
| 18 | 1987 | 31 | |
| 19 | 1986 | 134 | |
| 20 | 1985 | 12 |
About Dominic J. Williamson
Dominic J. Williamson is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Geometry and Topology, Immunology and Allergy and Artificial Intelligence, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Quantum many-body systems (29 papers), Quantum and electron transport phenomena (14 papers), Physics of Superconductivity and Magnetism (12 papers), Quantum Computing Algorithms and Architecture (10 papers), Topological Materials and Phenomena (10 papers), Theoretical and Computational Physics (7 papers), Algebraic structures and combinatorial models (6 papers) and Advanced Condensed Matter Physics (5 papers). The work is most often cited by research in Condensed Matter Physics (399 citations), Immunology (673 citations), Immunology and Allergy (162 citations), Atomic and Molecular Physics, and Optics (767 citations) and Physiology (435 citations). Dominic J. Williamson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include M A Vadas, C. Glenn Begley, Angel F. López, GG Wong, A M Waltersdorph, Jennifer R. Gamble, John M. Harlan, S J Klebanoff, Stephen Clark and Arpit Dua. Their work appears in journals such as Physical review. B., PRX Quantum, Physical Review Letters, Quantum and SciPost Physics.
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.