Chris Sparrow
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Anthony LaingJeremy L. O’BrienNobuyuki MatsudaToshikazu HashimotoJacques CarolanChristopher HarroldEnrique Martín-LópezJonathan C. F. Matthews
- Topics
- Quantum Information and Cryptography (5 papers)Neural Networks and Reservoir Computing (4 papers)Quantum Computing Algorithms and Architecture (3 papers)
- Journals
- NatureSciencePhysical Review Letters
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Chris Sparrow
6 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 927
- Electrical and Electronic Engineering 570
- Atomic and Molecular Physics, and Optics 502
- Biomedical Engineering 40
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Chris Sparrow
This map shows the geographic impact of Chris Sparrow'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 Sparrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Sparrow more than expected).
Fields of papers citing papers by Chris Sparrow
This network shows the impact of papers produced by Chris Sparrow. 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 Sparrow. The network helps show where Chris Sparrow may publish in the future.
Co-authorship network of co-authors of Chris Sparrow
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Sparrow. A scholar is included among the top collaborators of Chris Sparrow 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 Chris Sparrow. Chris Sparrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fusion-based quantum computationbreakdown → | 158 |
| 2 | 11 | |
| 3 | 149 | |
| 4 | 95 | |
| 5 | 10 | |
| 6 | Universal linear opticsbreakdown → | 695 |
About Chris Sparrow
Chris Sparrow is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (5 papers), Neural Networks and Reservoir Computing (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (27 citations), Artificial Intelligence (927 citations) and Atomic and Molecular Physics, and Optics (502 citations). Chris Sparrow has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Anthony Laing, Jeremy L. O’Brien, Nobuyuki Matsuda, Toshikazu Hashimoto, Jacques Carolan, Christopher Harrold, Enrique Martín-López, Jonathan C. F. Matthews, Graham D. Marshall and Nicholas J. Russell. Their work appears in journals such as Nature, Science and Physical Review Letters.
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.