Thomas Symul

3.6k citations
56 papers · 2.9k · h-index 24

Impact in

Papers in

Thomas Symul

56 papers receiving 2.8k citations

Peers

Thomas Symul
Comparison fields: 5 of 32
  • Artificial Intelligence 2.7k
  • Atomic and Molecular Physics, and Optics 395
  • Acoustics and Ultrasonics 7
  • Statistical and Nonlinear Physics 18
  • Hardware and Architecture 7
Replace Bernhard Ömer with:
Bernhard Ömer Austria
Wan‐Su Bao China
Jason L. Pereira United Kingdom
Qi Zhao China
Sebastian Nauerth Germany
Juan Carlos García-Escartín Spain
Davide G. Marangon Italy
Kunal Sharma United States
Nicholas A. Peters United States
Meisheng Zhao China
Thomas Symul relative to Bernhard Ömer Austria Bernhard Ömer's profile →
Citations per field
00.5×2×3×3.9×
Bernhard Ömer · 1×
Citations per year

Countries citing papers authored by Thomas Symul

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Symul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2 2004426
3 2003273
4 2005201
5 2012190
6 2016179
7 2011161
8 2005101
9 201498
10 201596
11 201368
12 200758
13 200348
14 201645
15 200638
16 201438
17 200733
18 200833
19 201830
20 200329

About Thomas Symul

Thomas Symul is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (54 papers), Quantum optics and atomic interactions (3 papers), Photorefractive and Nonlinear Optics (3 papers), Quantum Mechanics and Applications (2 papers), Optical Network Technologies (1 paper), Advanced Photonic Communication Systems (1 paper), Optical Systems and Laser Technology (1 paper) and Mechanical and Optical Resonators (1 paper). The work is most often cited by research in Artificial Intelligence (2.7k citations), Atomic and Molecular Physics, and Optics (395 citations), Acoustics and Ultrasonics (7 citations), Statistical and Nonlinear Physics (18 citations) and Hardware and Architecture (7 citations). Thomas Symul has collaborated with scholars based in Australia, Singapore and Canada. Frequent co-authors include Ping Koy Lam, Timothy C. Ralph, Andrew M. Lance, Warwick P. Bowen, Syed M. Assad, Christian Weedbrook, Barry C. Sanders, Nathan Walk, Helen M. Chrzanowski and Jing Yan Haw. Their work appears in journals such as Physical Review A, Physical Review Letters, Journal of Physics B Atomic Molecular and Optical Physics, New Journal of Physics and Optica.

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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