Michael Broughton

4.9k total citations · 1 hit paper
18 papers, 544 citations indexed

About

Michael Broughton is a scholar working on Artificial Intelligence, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Michael Broughton has authored 18 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Human-Computer Interaction and 5 papers in Cognitive Neuroscience. Recurrent topics in Michael Broughton's work include Interactive and Immersive Displays (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Tactile and Sensory Interactions (5 papers). Michael Broughton is often cited by papers focused on Interactive and Immersive Displays (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Tactile and Sensory Interactions (5 papers). Michael Broughton collaborates with scholars based in Australia, United Kingdom and United States. Michael Broughton's co-authors include Masoud Mohseni, Hartmut Neven, Hsin-Yuan Huang, Jarrod R. McClean, Richard Kueng, Sitan Chen, Jerry Li, Jordan Cotler, John Preskill and Ryan Babbush and has published in prestigious journals such as Science, Physical Review Letters and Journal of the American College of Cardiology.

In The Last Decade

Michael Broughton

15 papers receiving 532 citations

Hit Papers

Quantum advantage in learning from experiments 2022 2026 2023 2024 2022 50 100 150 200 250
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. Quantum advantage in learning from experiments
    2022 298 citations Hsin-Yuan Huang, Michael Broughton et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Broughton Australia 8 383 148 73 59 55 18 544
Shuming Jiao China 18 219 0.6× 429 2.9× 23 0.3× 184 3.1× 15 0.3× 69 1.1k
Yudong Cao China 15 421 1.1× 222 1.5× 139 1.9× 50 0.8× 133 2.4× 36 776
Ichi Takumi Japan 9 191 0.5× 28 0.2× 12 0.2× 201 3.4× 16 0.3× 107 517
Shaoxiong Li China 11 133 0.3× 181 1.2× 40 0.5× 35 0.6× 6 0.1× 67 413
Carlos Sánchez‐Azqueta Spain 13 128 0.3× 116 0.8× 89 1.2× 313 5.3× 9 0.2× 109 652
Hua‐Kuang Liu United States 12 50 0.1× 347 2.3× 17 0.2× 288 4.9× 22 0.4× 69 697
Xueqing Zhao China 10 33 0.1× 42 0.3× 8 0.1× 124 2.1× 42 0.8× 57 402
Jinghui Xie China 10 64 0.2× 228 1.5× 12 0.2× 48 0.8× 3 0.1× 34 526

Countries citing papers authored by Michael Broughton

Since Specialization
Citations

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

Fields of papers citing papers by Michael Broughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Broughton

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

All Works

18 of 18 papers shown
1.
Huang, Hsin-Yuan, Yunchao Liu, Michael Broughton, et al.. (2024). Learning Shallow Quantum Circuits. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 1343–1351. 13 indexed citations
2.
Huang, Hsin-Yuan, Michael Broughton, Jordan Cotler, et al.. (2022). Quantum advantage in learning from experiments. Science. 376(6598). 1182–1186. 298 indexed citations breakdown →
3.
Niu, Murphy Yuezhen, Alexander Zlokapa, Michael Broughton, et al.. (2022). Entangling Quantum Generative Adversarial Networks. Physical Review Letters. 128(22). 220505–220505. 64 indexed citations
4.
Niu, Murphy Yuezhen, Michael Broughton, Alexander Zlokapa, et al.. (2021). Quantum generative adversarial networks with provable convergence. Bulletin of the American Physical Society. 1 indexed citations
5.
Broughton, Michael, et al.. (2021). Dispelling the Myth of the “Tang-Song Transition Theory”. 6(2-3). 129–152.
6.
Gidney, Craig, Michael Newman, Austin G. Fowler, & Michael Broughton. (2021). A Fault-Tolerant Honeycomb Memory. Quantum. 5. 605–605. 56 indexed citations
7.
Verdon, Guillaume, et al.. (2019). A Universal Training Algorithm for Quantum Deep Learning. arXiv (Cornell University). 2019.
8.
Seager, Robert, et al.. (2015). Towards Conformal Woven Frequency Selective Surfaces (FSS). 1–3. 1 indexed citations
9.
Stevenson, Duncan, et al.. (2015). Adapting a Soft 2.5D Actuated Shape Display for Rebound Tenderness Simulation and Training. ANU Open Research (Australian National University). 81. 549–556.
10.
Gedeon, T.D., et al.. (2015). It's Alive! Perceptions of a Soft Tangible User Interface. ANU Open Research (Australian National University). 1 indexed citations
11.
Seager, Robert, et al.. (2014). Fabrication of fabric based Frequency Selective Surfaces (FSS). 151. 1978–1980. 10 indexed citations
12.
Broughton, Michael, et al.. (2013). ForceForm. ANU Open Research (Australian National University). 175–178. 25 indexed citations
13.
Seager, Robert, et al.. (2013). Fabric based frequency selective surfaces using weaving and screen printing. Electronics Letters. 49(24). 1507–1509. 46 indexed citations
14.
Stevenson, Duncan, et al.. (2013). User created tangible controls using ForceForm. ANU Open Research (Australian National University). 95–96. 2 indexed citations
15.
Gedeon, Tom, et al.. (2012). Using magnetic forces to convey state information. ANU Open Research (Australian National University). 620–623. 2 indexed citations
16.
Broughton, Michael, Jeni Paay, Jesper Kjeldskov, et al.. (2009). Being here. UTS ePRESS (University of Technology Sydney). 73–80. 15 indexed citations
17.
Broughton, Michael. (2006). Virtual planning rooms (ViPR): a 3D visualisation environment for hierarchical information. 125–128. 3 indexed citations
18.
Estival, Dominique, et al.. (2003). Spoken Dialogue for Virtual Advisers in a semi-immersive Command and Control environment. Journal of the American College of Cardiology. 15(6). 125–134. 7 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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