Chris Sparrow

2.1k citations
6 papers · 1.2k · 2 hit papers · h-index 6

Impact in

Papers in

Chris Sparrow

6 papers receiving 1.1k citations

Chris Sparrow's Hit Papers

Fusion-based quantum computation 2023 · 174 citations
1740+3+7Years since publication200400600

Peers

Chris Sparrow
Comparison fields: 5 of 48
  • Acoustics and Ultrasonics 27
  • Artificial Intelligence 946
  • Atomic and Molecular Physics, and Optics 511
  • Electrical and Electronic Engineering 582
  • Instrumentation 12
Replace Enrique Martín-López with:
Enrique Martín-López United Kingdom
Stefano Paesani United Kingdom
Bryn A. Bell United Kingdom
M. Menotti Italy
Han-Sen Zhong China
Yu-Huai Li China
Piotr Roztocki Canada
Chris Erven United Kingdom
Guilherme B. Xavier Chile
Chris Sparrow relative to Enrique Martín-López United Kingdom Enrique Martín-López's profile →
Citations per field
00.5×1.5×2.1×
Enrique Martín-López · 1×
Citations per year

Countries citing papers authored by Chris Sparrow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Chris Sparrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Sparrow Line = papers co-authored together Chris Sparrow links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Universal linear optics
Hit paper breakdown →
2015709
2
Fusion-based quantum computation
Hit paper breakdown →
2023174
3 2018153
4 201796
5 202211
6 201610

About Chris Sparrow

Chris Sparrow is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Infectious Diseases, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (5 papers), Neural Networks and Reservoir Computing (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Nonlinear Photonic Systems (1 paper), Optical Network Technologies (1 paper), Topological Materials and Phenomena (1 paper), Quantum Mechanics and Non-Hermitian Physics (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (27 citations), Artificial Intelligence (946 citations), Atomic and Molecular Physics, and Optics (511 citations), Electrical and Electronic Engineering (582 citations) and Instrumentation (12 citations). Chris Sparrow has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Anthony Laing, Nobuyuki Matsuda, Jacques Carolan, Toshikazu Hashimoto, Jeremy L. O’Brien, Enrique Martín-López, Christopher Harrold, Graham D. Marshall, Jonathan C. F. Matthews and Mikitaka Itoh. Their work appears in journals such as Nature Communications, Nature Physics, Science, Physical Review Letters and Nature.

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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