Sonia Buckley

2.3k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Sonia Buckley is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Sonia Buckley has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 20 papers in Atomic and Molecular Physics, and Optics and 18 papers in Artificial Intelligence. Recurrent topics in Sonia Buckley's work include Photonic and Optical Devices (29 papers), Neural Networks and Reservoir Computing (17 papers) and Photonic Crystals and Applications (13 papers). Sonia Buckley is often cited by papers focused on Photonic and Optical Devices (29 papers), Neural Networks and Reservoir Computing (17 papers) and Photonic Crystals and Applications (13 papers). Sonia Buckley collaborates with scholars based in United States, Canada and Germany. Sonia Buckley's co-authors include Jelena Vučković, Jeffrey M. Shainline, Arka Majumdar, Richard P. Mirin, Liefeng Feng, Jiaqiang Yan, David Mandrus, Fariba Hatami, John R. Schaibley and Sanfeng Wu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Sonia Buckley

37 papers receiving 1.4k citations

Hit Papers

Monolayer semiconductor nanocavity lasers with ultralow t... 2015 2026 2018 2022 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Monolayer semiconductor nanocavity lasers with ultralow thresholds
    2015 689 citations Sanfeng Wu, Sonia Buckley et al. Nature profile →

Peers

Sonia Buckley
Jeffrey M. Shainline United States
Tianbao Yu China
Fabio Pavanello France
Seng Tiong Ho United States
Katsuhiko Nishiguchi Japan
Zhiping Zhou China
Qirong Xiao China
Hisashi Sumikura Japan
Kirsten E. Moselund Switzerland
Philippe Dollfus France
Jeffrey M. Shainline United States
Sonia Buckley
Citations per year, relative to Sonia Buckley Sonia Buckley (= 1×) peers Jeffrey M. Shainline

Countries citing papers authored by Sonia Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Buckley

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Buckley. A scholar is included among the top collaborators of Sonia Buckley 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 Sonia Buckley. Sonia Buckley 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.
Dienstfrey, Andrew, et al.. (2025). Scaling of hardware-compatible perturbative training algorithms. SHILAP Revista de lepidopterología. 3(2).
2.
McCaughan, Adam N., et al.. (2023). Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation. SHILAP Revista de lepidopterología. 1(2). 8 indexed citations
3.
4.
Buckley, Sonia, et al.. (2021). Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks. Frontiers in Computational Neuroscience. 15. 627357–627357. 2 indexed citations
5.
Chiles, Jeff, Sonia Buckley, Adriana Lita, et al.. (2020). Superconducting microwire detectors based on WSi with single-photon sensitivity in the near-infrared. Applied Physics Letters. 116(24). 53 indexed citations
6.
McCaughan, Adam N., Varun B. Verma, Sonia Buckley, et al.. (2019). A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors. Nature Electronics. 2(10). 451–456. 63 indexed citations
7.
Shainline, Jeffrey M., Sonia Buckley, Adam N. McCaughan, et al.. (2019). Superconducting optoelectronic loop neurons. Journal of Applied Physics. 126(4). 49 indexed citations
8.
Buckley, Sonia, Adam N. McCaughan, Jeff Chiles, et al.. (2018). Design of Superconducting Optoelectronic Networks for Neuromorphic Computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 12 indexed citations
9.
Chiles, Jeff, Sonia Buckley, Nima Nader, et al.. (2017). Multi-planar amorphous silicon photonics with compact interplanar couplers, cross talk mitigation, and low crossing loss. APL Photonics. 2(11). 40 indexed citations
10.
Shainline, Jeffrey M., Sonia Buckley, Richard P. Mirin, & Sae Woo Nam. (2017). Superconducting Optoelectronic Circuits for Neuromorphic Computing. Physical Review Applied. 7(3). 143 indexed citations
11.
Shainline, Jeffrey M., Sonia Buckley, Nader D. Nader, et al.. (2017). Room-temperature-deposited dielectrics and superconductors for integrated photonics. Optics Express. 25(9). 10322–10322. 32 indexed citations
12.
Shainline, Jeffrey M., Sonia Buckley, Richard P. Mirin, & Sae Woo Nam. (2016). Neuromorphic computing with integrated photonics and superconductors. Zenodo (CERN European Organization for Nuclear Research). 1–8. 3 indexed citations
13.
Wu, Sanfeng, Sonia Buckley, John R. Schaibley, et al.. (2015). Monolayer semiconductor nanocavity lasers with ultralow thresholds. Nature. 520(7545). 69–72. 689 indexed citations breakdown →
14.
Buckley, Sonia, Marina Radulaski, Jan Petykiewicz, et al.. (2014). Below-bandgap second harmonic generation in GaAs photonic crystal cavites in (111)B and (001) crystal orientations. arXiv (Cornell University). 1 indexed citations
15.
Majumdar, Arka, Armand Rundquist, Sonia Buckley, et al.. (2014). Towards few-photon optoelectronics with photonic crystal devices. LTu4H.3–LTu4H.3. 1 indexed citations
16.
Buckley, Sonia, Jelena Vučković, & Kelley Rivoire. (2012). Multiply Resonant Photonic Crystal Cavities for Nonlinear Frequency Conversion. QF2D.3–QF2D.3.
17.
Rivoire, Kelley, et al.. (2012). Photoluminescence from In0.5Ga0.5As/GaP quantum dots coupled to photonic crystal cavities. Physical Review B. 85(4). 23 indexed citations
18.
Rivoire, Kelley, Sonia Buckley, & Jelena Vučković. (2011). Multiply resonant photonic crystal nanocavities for nonlinear frequency conversion. Optics Express. 19(22). 22198–22198. 54 indexed citations
19.
Rivoire, Kelley, Sonia Buckley, Fariba Hatami, & Jelena Vučković. (2011). Second harmonic generation in GaP photonic crystal waveguides. 381–382.
20.
Buckley, Sonia, Kelley Rivoire, & Jelena Vučković. (2011). Multiply Resonant High Quality Photonic Crystal Nanocavities. NWE11–NWE11. 2 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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