Cambridge Quantum Computing (United Kingdom)
Impact in
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- Cancer Genomics and Diagnostics
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Papers in
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- Quantum Computing Algorithms and Architecture 68
- Quantum Information and Cryptography 58
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- Quantum Mechanics and Applications 25
- Quantum and electron transport phenomena 10
- Advanced Chemical Physics Studies 8
- Quantum many-body systems 7
- Top scholars
- David Krishna MenonMarcello BenedettiJohn A. ToddSergey NejentsevNeil M WalkerDavid W. H. RichesRoss DuncanAlejandro Perdomo‐Ortiz
- Journals
- Physical Chemistry Chemical Physics (17 papers)Quantum (10 papers)Gut (6 papers)RSC Advances (5 papers)Journal of Neuroscience (4 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Cambridge Quantum Computing (United Kingdom)
242 papers receiving 9.4k citations
Peers
Comparison fields: 5 of 205
- Cancer Research 988
- Artificial Intelligence 2.3k
- Computational Mathematics 30
- Atomic and Molecular Physics, and Optics 1.1k
- Immunology 684
Countries citing scholars working at Cambridge Quantum Computing (United Kingdom)
This map shows the geographic impact of research produced by authors working at Cambridge Quantum Computing (United Kingdom). 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 papers produced at Cambridge Quantum Computing (United Kingdom) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cambridge Quantum Computing (United Kingdom) more than expected).
Fields of papers published by authors at Cambridge Quantum Computing (United Kingdom)
This network shows the impact of papers affiliated with Cambridge Quantum Computing (United Kingdom) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Cambridge Quantum Computing (United Kingdom) at the time of their publication.
About Cambridge Quantum Computing (United Kingdom)
In recent decades, authors affiliated with Cambridge Quantum Computing (United Kingdom) have published 256 papers, which have received a total of 9.9k indexed citations . Scholars at this organization have produced 83 papers in Artificial Intelligence, 51 papers in Atomic and Molecular Physics, and Optics, 11 papers in Physical and Theoretical Chemistry, 17 papers in Computational Theory and Mathematics and 10 papers in Cancer Research on the topics of Quantum Computing Algorithms and Architecture (68 papers), Quantum Information and Cryptography (58 papers), Quantum Mechanics and Applications (25 papers), Quantum and electron transport phenomena (10 papers), Advanced Chemical Physics Studies (8 papers), Quantum-Dot Cellular Automata (7 papers), Quantum many-body systems (7 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). Their work is cited by papers focused on Cancer Research (988 citations), Artificial Intelligence (2.3k citations), Computational Mathematics (30 citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Immunology (684 citations). Authors at Cambridge Quantum Computing (United Kingdom) collaborate with scholars in United Kingdom, United States and Portugal and have published in prestigious journals including Physical Chemistry Chemical Physics, Quantum, Gut, RSC Advances and Journal of Neuroscience. Some of Cambridge Quantum Computing (United Kingdom)'s most productive authors include David Krishna Menon, Marcello Benedetti, John A. Todd, Sergey Nejentsev, Neil M Walker, David W. H. Riches, Ross Duncan, Alejandro Perdomo‐Ortiz, M. Clarke and Jürgens Nortje.
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.