Logan G. Wright

5.1k total citations · 3 hit papers
56 papers, 3.2k citations indexed

About

Logan G. Wright is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Logan G. Wright has authored 56 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 35 papers in Atomic and Molecular Physics, and Optics and 18 papers in Artificial Intelligence. Recurrent topics in Logan G. Wright's work include Advanced Fiber Laser Technologies (31 papers), Optical Network Technologies (22 papers) and Photonic Crystal and Fiber Optics (19 papers). Logan G. Wright is often cited by papers focused on Advanced Fiber Laser Technologies (31 papers), Optical Network Technologies (22 papers) and Photonic Crystal and Fiber Optics (19 papers). Logan G. Wright collaborates with scholars based in United States, Japan and Canada. Logan G. Wright's co-authors include Frank W. Wise, Demetrios N. Christodoulides, Tianyu Wang, Peter L. McMahon, Tatsuhiro Onodera, Zhanwei Liu, Martin M. Stein, Zachary M. Ziegler, Darren T. Schachter and Zoey Hu and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Logan G. Wright

53 papers receiving 3.0k citations

Hit Papers

Deep physical neural networks trained with backpropagation 2022 2026 2023 2024 2022 2023 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Logan G. Wright United States 26 2.3k 2.1k 673 297 169 56 3.2k
José Azaña Canada 42 6.1k 2.6× 5.5k 2.6× 939 1.4× 190 0.6× 387 2.3× 425 7.3k
Heming Wang United States 28 2.3k 1.0× 2.3k 1.1× 226 0.3× 221 0.7× 169 1.0× 95 3.0k
Robert Keil Germany 28 936 0.4× 2.1k 1.0× 837 1.2× 694 2.3× 364 2.2× 80 2.7k
Ming-Jun Li United States 32 3.8k 1.6× 2.3k 1.1× 989 1.5× 44 0.1× 384 2.3× 290 5.1k
Jacob Scheuer Israel 30 2.0k 0.9× 2.0k 0.9× 206 0.3× 207 0.7× 570 3.4× 151 3.0k
Christoph Marquardt Germany 37 1.9k 0.8× 4.2k 2.0× 2.5k 3.7× 144 0.5× 780 4.6× 125 5.1k
Sergei Slussarenko Italy 22 669 0.3× 3.0k 1.4× 1.4k 2.1× 139 0.5× 912 5.4× 54 3.4k
Dustin Kleckner United States 12 554 0.2× 1.4k 0.7× 227 0.3× 235 0.8× 283 1.7× 20 1.9k
F. Devaux France 29 1.7k 0.7× 1.6k 0.7× 436 0.6× 187 0.6× 226 1.3× 167 2.9k
Patrice Mégret Belgium 36 4.1k 1.8× 2.0k 0.9× 116 0.2× 197 0.7× 426 2.5× 341 4.7k

Countries citing papers authored by Logan G. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Logan G. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Logan G. Wright. 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 Logan G. Wright. The network helps show where Logan G. Wright may publish in the future.

Co-authorship network of co-authors of Logan G. Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Logan G. Wright. A scholar is included among the top collaborators of Logan G. Wright 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 Logan G. Wright. Logan G. Wright 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.
Onodera, Tatsuhiro, Martin M. Stein, Marc Jankowski, et al.. (2025). Arbitrary control over multimode wave propagation for machine learning. Nature Physics. 22(1). 164–171.
2.
Ma, Shi-Yuan, et al.. (2025). Quantum-limited stochastic optical neural networks operating at a few quanta per activation. Nature Communications. 16(1). 359–359. 10 indexed citations
3.
Stein, Martin M., Yujie Zhao, Marc Jankowski, et al.. (2025). Programmable on-chip nonlinear photonics. Nature. 649(8096). 330–337. 3 indexed citations
4.
Onodera, Tatsuhiro, et al.. (2024). Microwave signal processing using an analog quantum reservoir computer. Nature Communications. 15(1). 7 indexed citations
6.
Wright, Logan G., et al.. (2023). Programmable large-scale simulation of lattices with photonic synthetic frequency dimensions. 367. FW4H.2–FW4H.2. 1 indexed citations
7.
Wang, Tianyu, Logan G. Wright, Martin M. Stein, et al.. (2023). Image sensing with multilayer nonlinear optical neural networks. Nature Photonics. 17(5). 408–415. 159 indexed citations breakdown →
8.
Xia, Fei, Ziao Wang, Logan G. Wright, et al.. (2023). Hardware-efficient, large-scale reconfigurable optical neural network (ONN) with backpropagation. 8–8. 1 indexed citations
9.
Wang, Tianyu, Shi-Yuan Ma, Logan G. Wright, et al.. (2023). Applications of digital micromirror devices in photonic neural networks. 2–2.
10.
Wright, Logan G., et al.. (2023). The hardware is the software. Neuron. 112(2). 180–183. 5 indexed citations
11.
Wright, Logan G., Tatsuhiro Onodera, Martin M. Stein, et al.. (2022). Deep physical neural networks trained with backpropagation. Nature. 601(7894). 549–555. 421 indexed citations breakdown →
12.
Onodera, Tatsuhiro, et al.. (2020). Engineering a Kerr-Based Deterministic Cubic Phase Gate via Gaussian Operations. Physical Review Letters. 124(24). 240503–240503. 31 indexed citations
13.
Fu, Walter, Logan G. Wright, Pavel Sidorenko, Sterling Backus, & Frank W. Wise. (2018). Several new directions for ultrafast fiber lasers [Invited]. Optics Express. 26(8). 9432–9432. 163 indexed citations
14.
Liu, Zhanwei, Zachary M. Ziegler, Logan G. Wright, & Frank W. Wise. (2017). Megawatt peak power from a Mamyshev oscillator. Optica. 4(6). 649–649. 160 indexed citations
15.
Fu, Walter, Logan G. Wright, & Frank W. Wise. (2017). High-power femtosecond pulses without a modelocked laser. Optica. 4(7). 831–831. 45 indexed citations
16.
Chong, Andy, Logan G. Wright, & Frank W. Wise. (2015). Ultrafast fiber lasers based on self-similar pulse evolution: a review of current progress. Reports on Progress in Physics. 78(11). 113901–113901. 91 indexed citations
17.
Wright, Logan G., S. Wabnitz, Demetrios N. Christodoulides, & Frank W. Wise. (2015). Ultrabroadband Dispersive Radiation by Spatiotemporal Oscillation of Multimode Waves. Physical Review Letters. 115(22). 223902–223902. 136 indexed citations
18.
Wright, Logan G., et al.. (2013). Deep nonlinear ablation of silicon with a quasi-continuous wave fiber laser at 1070 nm. Optics Letters. 38(11). 1799–1799. 10 indexed citations
19.
Kannry, Joseph, Logan G. Wright, Mark A. Shifman, Samuel C. Silverstein, & Perry L. Miller. (1996). Portability Issues for a Structured Clinical Vocabulary: Mapping from Yale to the Columbia Medical Entities Dictionary. Journal of the American Medical Informatics Association. 3(1). 66–78. 20 indexed citations
20.
Miller, Perry L., et al.. (1995). Lessons Learned from a Pilot Implementation of the UMLS Information Sources Map. Journal of the American Medical Informatics Association. 2(2). 102–115. 13 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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