Matthew J. Collins

29 papers receiving 1.6k citations

Hit Papers

Quantum computational advantage with a programmable photo...20222026202320242022200400600

Peers

Matthew J. Collins
Comparison fields: 5 of 58
  • Atomic and Molecular Physics, and Optics 1.1k
  • Artificial Intelligence 911
  • Electrical and Electronic Engineering 805
  • Biomedical Engineering 130
  • Statistical and Nonlinear Physics 81
Replace Lars S. Madsen with:
Lars S. Madsen Denmark
L. G. Helt Canada
Tobias Gehring Denmark
Filippo M. Miatto Canada
Zu-En Su China
Nicholas A. Peters United States
Peter J. Mosley United Kingdom
Christoffer Wittmann Germany
Linda Sansoni Italy
Matthew J. Collins relative to Lars S. Madsen Denmark Lars S. Madsen's profile →
Citations per field
00.5×3.5×
Lars S. Madsen · 1×
Citations per year

Countries citing papers authored by Matthew J. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Collins. 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 Matthew J. Collins. The network helps show where Matthew J. Collins may publish in the future.

Co-authorship network of co-authors of Matthew J. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Collins. A scholar is included among the top collaborators of Matthew J. Collins 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 Matthew J. Collins. Matthew J. Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2
Quantum computational advantage with a programmable photonic processorbreakdown →
603
3 191
4 93
5 25
6 22
7 71
8 15
9 1
10 2
11 6
12 189
13 40
14 24
15 20
16 4
17 1
18 36
19 14
20 0

About Matthew J. Collins

Matthew J. Collins is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (22 papers), Quantum Information and Cryptography (11 papers) and Photonic Crystals and Applications (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (45 citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Artificial Intelligence (911 citations). Matthew J. Collins has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Benjamin J. Eggleton, Alex S. Clark, Chunle Xiong, L. G. Helt, M. J. Steel, Thomas F. Krauss, Adriana E. Lita, Andrea Blanco‐Redondo, Mordechai Segev and Sae Woo Nam. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.

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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