Ryan T. Glasser

109 total papers · 658 total citations
36 papers, 430 citations indexed

About

Ryan T. Glasser is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ryan T. Glasser has authored 36 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atomic and Molecular Physics, and Optics, 23 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ryan T. Glasser's work include Quantum Information and Cryptography (21 papers), Quantum optics and atomic interactions (15 papers) and Quantum Mechanics and Applications (10 papers). Ryan T. Glasser is often cited by papers focused on Quantum Information and Cryptography (21 papers), Quantum optics and atomic interactions (15 papers) and Quantum Mechanics and Applications (10 papers). Ryan T. Glasser collaborates with scholars based in United States, China and United Arab Emirates. Ryan T. Glasser's co-authors include Paul D. Lett, Ulrich Vogl, Sanjaya Lohani, Quentin Glorieux, Jeremy B. Clark, Jon D. Swaim, F. De Martini, Jonathan P. Dowling, Chiara Vitelli and Hugo Cable and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Nature Photonics.

In The Last Decade

Ryan T. Glasser

33 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan T. Glasser 354 232 106 52 29 36 430
Ruo-Jing Ren 272 0.8× 229 1.0× 103 1.0× 35 0.7× 28 1.0× 21 415
V. Delaubert 395 1.1× 213 0.9× 124 1.2× 56 1.1× 35 1.2× 17 448
Taira Giordani 320 0.9× 264 1.1× 127 1.2× 141 2.7× 32 1.1× 30 485
Luca Innocenti 258 0.7× 306 1.3× 126 1.2× 84 1.6× 21 0.7× 27 477
Alessia Suprano 339 1.0× 241 1.0× 82 0.8× 122 2.3× 29 1.0× 21 431
Jiapeng Zhao 337 1.0× 147 0.6× 191 1.8× 109 2.1× 91 3.1× 37 481
Wenjie Xiong 255 0.7× 135 0.6× 228 2.2× 143 2.8× 19 0.7× 20 381
Chenzhi Yuan 335 0.9× 259 1.1× 122 1.2× 41 0.8× 19 0.7× 42 460
Michał Parniak 319 0.9× 161 0.7× 84 0.8× 27 0.5× 23 0.8× 33 388
Julián Martínez-Rincón 360 1.0× 265 1.1× 100 0.9× 20 0.4× 7 0.2× 19 477

Countries citing papers authored by Ryan T. Glasser

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Glasser'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 Ryan T. Glasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Glasser more than expected).

Fields of papers citing papers by Ryan T. Glasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Glasser. 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 Ryan T. Glasser. The network helps show where Ryan T. Glasser may publish in the future.

Co-authorship network of co-authors of Ryan T. Glasser

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

All Works

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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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