A. Matthew Smith

703 citations
25 papers · 451 indexed · h-index 8

Impact in

Papers in

A. Matthew Smith

20 papers receiving 435 citations

Peers

A. Matthew Smith
Comparison fields: 5 of 25
  • Acoustics and Ultrasonics 12
  • Artificial Intelligence 331
  • Electrical and Electronic Engineering 337
  • Atomic and Molecular Physics, and Optics 177
  • Statistical and Nonlinear Physics 32
Replace Maziyar Milanizadeh with:
Maziyar Milanizadeh Italy
Jeremy B. Clark United States
A. M. Barth Germany
F. Albert Germany
Caspar Hopfmann Germany
Christopher C. Tison United States
Shaoyan Gao China
Rajveer Nehra United States
H. Ollivier France
Cui Kong China
A. Matthew Smith relative to Maziyar Milanizadeh Italy Maziyar Milanizadeh's profile →
Citations per field
00.5×10×15×19×
Maziyar Milanizadeh · 1×
Citations per year

Countries citing papers authored by A. Matthew Smith

Since Specialization
Citations

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

Fields of papers citing papers by A. Matthew Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20240
5 20230
6 20211
7 201910
8 201768
9 20162
10 20151
11 201515
12 20141
13 20121
14 20121
15
Maximal Success Probabilities of Linear-Optical Quantum Gates
20100
16 20102
17 201033
18 201010
19 20094
20 200929

About A. Matthew Smith

A. Matthew Smith is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 25 papers that have together received 451 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (13 papers), Quantum Information and Cryptography (12 papers), Photonic and Optical Devices (9 papers), Optical Network Technologies (7 papers), Quantum Computing Algorithms and Architecture (5 papers), Mechanical and Optical Resonators (5 papers), Advanced Fiber Laser Technologies (4 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (12 citations), Artificial Intelligence (331 citations), Electrical and Electronic Engineering (337 citations), Atomic and Molecular Physics, and Optics (177 citations) and Statistical and Nonlinear Physics (32 citations). A. Matthew Smith has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Paul M. Alsing, Michael L. Fanto, Christopher C. Tison, Dirk Englund, Darius Bunandar, Tom Baehr‐Jones, Nicholas C. Harris, Mihika Prabhu, Michael Hochberg and Jacques Carolan. Their work appears in journals such as Physical review. A, Physical Review A, Journal of Physics B Atomic Molecular and Optical Physics, Scientific Reports and Optics Express.

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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