Ryan T. Glasser

661 total citations
36 papers, 432 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 432 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, Hugo Cable, Jonathan P. Dowling, F. De Martini and Sean D. Huver 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 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan T. Glasser United States 13 357 233 107 52 29 36 432
Ruo-Jing Ren China 10 274 0.8× 233 1.0× 103 1.0× 36 0.7× 29 1.0× 21 420
V. Delaubert Australia 12 396 1.1× 214 0.9× 124 1.2× 56 1.1× 35 1.2× 17 449
D. B. Horoshko Belarus 14 457 1.3× 347 1.5× 102 1.0× 37 0.7× 33 1.1× 56 533
Lu‐Feng Qiao China 12 421 1.2× 296 1.3× 140 1.3× 54 1.0× 22 0.8× 20 558
Taira Giordani Italy 13 327 0.9× 268 1.2× 129 1.2× 141 2.7× 32 1.1× 29 487
Christoph F. Wildfeuer United States 9 430 1.2× 423 1.8× 66 0.6× 24 0.5× 25 0.9× 20 507
Bhaskar Roy Bardhan United States 5 410 1.1× 424 1.8× 115 1.1× 36 0.7× 28 1.0× 11 581
Alessia Suprano Italy 13 349 1.0× 255 1.1× 85 0.8× 122 2.3× 29 1.0× 21 444
Marc Jofre Spain 9 179 0.5× 152 0.7× 90 0.8× 54 1.0× 14 0.5× 25 306
Emanuele Polino Italy 16 450 1.3× 435 1.9× 88 0.8× 83 1.6× 17 0.6× 32 595

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

20 of 20 papers shown
1.
Lohani, Sanjaya, et al.. (2025). Classification of single photons in higher-order spatial modes via convolutional neural networks. Optics Letters. 50(9). 2820–2820.
2.
Zhang, Wenlei, et al.. (2024). Robust Free-Space Optical Communication Utilizing Polarization for the Advancement of Quantum Communication. Entropy. 26(4). 309–309. 3 indexed citations
3.
Zhang, Wenlei, et al.. (2023). Classical optical analogue of quantum discord. The European Physical Journal Special Topics. 232(20-22). 3345–3351. 1 indexed citations
4.
Lohani, Sanjaya, et al.. (2023). Bayesian quantum state reconstruction with a learning-based tuned prior. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). QM4B.3–QM4B.3. 1 indexed citations
5.
Lohani, Sanjaya, et al.. (2023). Demonstration of machine-learning-enhanced Bayesian quantum state estimation. New Journal of Physics. 25(8). 83009–83009. 7 indexed citations
6.
Regmi, Prafulla, Lior Cohen, Sanjaya Lohani, et al.. (2023). Deep learning for enhanced free-space optical communications. Machine Learning Science and Technology. 4(4). 45046–45046. 7 indexed citations
7.
Zhang, Wenlei, et al.. (2022). Coherent control of evanescent waves via beam shaping. Journal of Optics. 24(12). 125201–125201.
8.
Lohani, Sanjaya, et al.. (2022). Deep learning for eavesdropper detection in free-space optical ON-OFF keying. Optics Continuum. 1(12). 2416–2416. 5 indexed citations
9.
Bhusal, Narayan, et al.. (2021). Spatial Mode Correction of Single Photons Using Machine Learning. Advanced Quantum Technologies. 4(3). 21 indexed citations
10.
Glasser, Ryan T., et al.. (2020). Phase-sensitive amplification via multi-phase-matched four-wave mixing. Optics Express. 28(15). 22748–22748. 5 indexed citations
11.
Glasser, Ryan T., et al.. (2018). Room-Temperature Photon-Number-Resolved Detection Using A Two-Mode Squeezer. Frontiers in Optics / Laser Science. JW3A.70–JW3A.70. 1 indexed citations
12.
Glasser, Ryan T., et al.. (2017). Room-temperature photon-number-resolved detection using a two-mode squeezer. Physical review. A. 96(5). 2 indexed citations
13.
Lohani, Sanjaya, et al.. (2016). Deep learning as a tool to distinguish between high orbital angular momentum optical modes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9970. 997013–997013. 48 indexed citations
14.
Glasser, Ryan T., et al.. (2016). All-optical mode conversion via spatially multimode four-wave mixing. New Journal of Physics. 18(7). 73032–73032. 8 indexed citations
15.
Corzo, Neil, Quentin Glorieux, Alberto M. Marino, et al.. (2013). Rotation of the noise ellipse for squeezed vacuum light generated via four-wave mixing. Physical Review A. 88(4). 22 indexed citations
16.
Vogl, Ulrich, et al.. (2013). Experimental characterization of Gaussian quantum discord generated by four-wave mixing. Physical Review A. 87(1). 17 indexed citations
17.
Glasser, Ryan T., Ulrich Vogl, & Paul D. Lett. (2012). Stimulated Generation of Superluminal Light Pulses via Four-Wave Mixing. Physical Review Letters. 108(17). 173902–173902. 40 indexed citations
18.
Vogl, Ulrich, Ryan T. Glasser, & Paul D. Lett. (2012). Advanced detection of information in optical pulses with negative group velocity. Physical Review A. 86(3). 15 indexed citations
19.
Camacho, Ryan M., P. Ben Dixon, Ryan T. Glasser, Andrew N. Jordan, & John C. Howell. (2009). Realization of an All-Optical Zero toπCross-Phase Modulation Jump. Physical Review Letters. 102(1). 13902–13902. 12 indexed citations
20.
Glasser, Ryan T., Hugo Cable, Jonathan P. Dowling, et al.. (2008). Entanglement-Seeded-Dual Optical Parametric Amplification: Applications to Quantum Communication, Imaging, and Metrology. FTuQ5–FTuQ5. 1 indexed citations

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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