Alexei Gilchrist

6.4k citations
52 papers · 4.4k indexed · 3 hit papers · h-index 25

Alexei Gilchrist

51 papers receiving 4.3k citations

Hit Papers

Simplifying quantum logic using higher-dimensional Hilber...5412003202620102018100200300400500

Peers

Alexei Gilchrist
Comparison fields: 5 of 81
  • Artificial Intelligence 3.9k
  • Atomic and Molecular Physics, and Optics 3.3k
  • Acoustics and Ultrasonics 70
  • Statistical and Nonlinear Physics 195
  • Computational Theory and Mathematics 224
Replace Zeng‐Bing Chen with:
Zeng‐Bing Chen China
M. P. Almeida Australia
Alessandro Fedrizzi Australia
Nobuyuki Imoto Japan
Masato Koashi Japan
Mohamed Bourennane Sweden
Igor Jex Czechia
Jaromı́r Fiurášek Czechia
Frédéric Grosshans France
Peter Shadbolt United Kingdom
Alexei Gilchrist relative to Zeng‐Bing Chen China Zeng‐Bing Chen's profile →
Citations per field
00.5×1.5×2.1×
Zeng‐Bing Chen · 1×
Citations per year

Countries citing papers authored by Alexei Gilchrist

Since Specialization
Citations

This map shows the geographic impact of Alexei Gilchrist'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 Alexei Gilchrist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Gilchrist more than expected).

Fields of papers citing papers by Alexei Gilchrist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexei Gilchrist. 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 Alexei Gilchrist. The network helps show where Alexei Gilchrist may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Alexei Gilchrist, 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 Alexei Gilchrist Line = papers co-authored together Alexei Gilchrist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 201913
4 201812
5 201513
6 201550
7 201019
8 20082
9 2008133
10 20085
11 2007183
12 2007195
13 20071
14 2005132
15 2005183
16
Distance measures to compare real and ideal quantum processesbreakdown →
2005399
17 2004334
18 2002171
19 200018
20
Nonlinear finite element modeling of corrugated board
199939

About Alexei Gilchrist

Alexei Gilchrist is a scholar working on Artificial Intelligence, Acoustics and Ultrasonics and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 4.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (44 papers), Quantum Computing Algorithms and Architecture (29 papers), Quantum Mechanics and Applications (26 papers), Neural Networks and Reservoir Computing (9 papers), Optical Network Technologies (8 papers), Quantum optics and atomic interactions (8 papers), Mechanical and Optical Resonators (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Atomic and Molecular Physics, and Optics (3.3k citations) and Acoustics and Ultrasonics (70 citations). Alexei Gilchrist has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Timothy C. Ralph, Nathan K. Langford, A. G. White, Jeremy L. O’Brien, Geoff J. Pryde, Michael A. Nielsen, William J. Munro, B. P. Lanyon, G. J. Milburn and Scott Glancy. Their work appears in journals such as Physical Review Letters, Scientific Reports and Nature 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.

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