David Levonian

1.1k citations
10 papers · 602 indexed · 1 hit paper · h-index 8

Impact in

Papers in

David Levonian

10 papers receiving 588 citations

Hit Papers

Entanglement of nanophotonic quantum memory nodes in a telecom network 2024 · 127 citations
1272024202620254080120

Peers

David Levonian
Comparison fields: 5 of 29
  • Atomic and Molecular Physics, and Optics 465
  • Artificial Intelligence 304
  • Materials Chemistry 223
  • Electrical and Electronic Engineering 146
  • Geophysics 26
Replace J. Randall with:
J. Randall United Kingdom
Suzanne van Dam Netherlands
Robert Amsüss Austria
Fabio Grazioso United Kingdom
Alexander Kemp Japan
Demitry Farfurnik Israel
Aziza Suleymanzade United States
Teck Seng Koh United States
Xiangkun Xu China
Kebiao Xu China
David Levonian relative to J. Randall United Kingdom J. Randall's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Levonian

Since Specialization
Citations

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

Fields of papers citing papers by David Levonian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019143
2 2022135
3
Entanglement of nanophotonic quantum memory nodes in a telecom network
Hit paper breakdown →
2024127
4 2019125
5 202319
6 201919
7 202017
8 202213
9 20223
10
High-Fidelity Quantum Memory for the Silicon-vacancy Defect in Diamond
20211

About David Levonian

David Levonian is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 10 papers that have together received 602 indexed citations. Recurring topics across this work include Quantum optics and atomic interactions (6 papers), Quantum Information and Cryptography (5 papers), Diamond and Carbon-based Materials Research (4 papers), Advanced Fiber Laser Technologies (3 papers), Mechanical and Optical Resonators (2 papers), Electronic and Structural Properties of Oxides (1 paper), Advanced Frequency and Time Standards (1 paper) and Laser-Matter Interactions and Applications (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (465 citations), Artificial Intelligence (304 citations), Materials Chemistry (223 citations), Electrical and Electronic Engineering (146 citations) and Geophysics (26 citations). David Levonian has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Marko Lončar, Mihir K. Bhaskar, Erik Knall, Hongkun Park, Bartholomeus Machielse, Ralf Riedinger, Denis D. Sukachev, Mikhail D. Lukin, C. T. Nguyen and P. Stroganov. Their work appears in journals such as Physical Review Letters, Nature, Physical review. B., Science and Applied Physics Letters.

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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