Chris N. Self
Impact in
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- Quantum many-body systems
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
Papers in
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- Topological Materials and Phenomena 4
- Quantum and electron transport phenomena 4
- Quantum many-body systems 3
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- Quantum Computing Algorithms and Architecture 8
- Quantum Information and Cryptography 7
- Co-authors
- Jiannis K. Pachos (6 shared papers)James R. Wootton (2 shared papers)Daniel Loss (1 shared paper)Benjamin J. Brown (1 shared paper)Tobias Haug (1 shared paper)M. S. Kim (1 shared paper)Kiran E. Khosla (1 shared paper)Marcello Benedetti (3 shared papers)
- Journals
- Physical review. B. (5 papers)Nature Physics (1 paper)Machine Learning Science and Technology (1 paper)Physical Review Letters (1 paper)Quantum (1 paper)
- Partner nations
- United KingdomSpainSwitzerland
In The Last Decade
Chris N. Self
11 papers receiving 249 citations
Peers
Comparison fields: 5 of 24
- Atomic and Molecular Physics, and Optics 166
- Artificial Intelligence 166
- Condensed Matter Physics 48
- Computational Theory and Mathematics 28
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Chris N. Self
This map shows the geographic impact of Chris N. Self'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 Chris N. Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris N. Self more than expected).
Fields of papers citing papers by Chris N. Self
This network shows the impact of papers produced by Chris N. Self. 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 Chris N. Self. The network helps show where Chris N. Self may publish in the future.
Co-authors
The 20 scholars most cited alongside Chris N. Self, 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 | 2016 | 134 | |
| 2 | 2023 | 39 | |
| 3 | 2021 | 32 | |
| 4 | 2019 | 13 | |
| 5 | 2024 | 10 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 0 |
About Chris N. Self
Chris N. Self is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 13 papers that have together received 257 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers), Advanced Condensed Matter Physics (4 papers), Topological Materials and Phenomena (4 papers), Quantum and electron transport phenomena (4 papers), Quantum many-body systems (3 papers), Physics of Superconductivity and Magnetism (3 papers) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (166 citations), Artificial Intelligence (166 citations), Condensed Matter Physics (48 citations), Computational Theory and Mathematics (28 citations) and Statistical and Nonlinear Physics (15 citations). Chris N. Self has collaborated with scholars based in United Kingdom, Spain and Switzerland. Frequent co-authors include Jiannis K. Pachos, James R. Wootton, Daniel Loss, Benjamin J. Brown, Tobias Haug, M. S. Kim, Kiran E. Khosla, Marcello Benedetti, S. Iblisdir and Johannes Knolle. Their work appears in journals such as Physical review. B., Nature Physics, Machine Learning Science and Technology, Physical Review Letters and Quantum.
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.