Jonathan Cannon

894 total citations
21 papers, 466 citations indexed

About

Jonathan Cannon is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan Cannon has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan Cannon's work include Neural dynamics and brain function (10 papers), Neuroscience and Music Perception (7 papers) and Autism Spectrum Disorder Research (6 papers). Jonathan Cannon is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Music Perception (7 papers) and Autism Spectrum Disorder Research (6 papers). Jonathan Cannon collaborates with scholars based in United States, Canada and United Kingdom. Jonathan Cannon's co-authors include Nancy Kopell, Pawan Sinha, Paul Miller, Miles A. Whittington, Christoph Börgers, Jung H. Lee, Michelle M. McCarthy, Shane Lee, Bernd H. Zinselmeyer and John Dempster and has published in prestigious journals such as Journal of Neurophysiology, Methods in enzymology on CD-ROM/Methods in enzymology and European Journal of Neuroscience.

In The Last Decade

Jonathan Cannon

18 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Cannon United States 10 368 129 55 28 28 21 466
Giuseppe Noce Italy 12 262 0.7× 54 0.4× 37 0.7× 40 1.4× 43 1.5× 33 478
Adrian L. Williams United Kingdom 16 797 2.2× 96 0.7× 35 0.6× 66 2.4× 35 1.3× 28 1.0k
Benjamin Griffiths United Kingdom 14 447 1.2× 114 0.9× 21 0.4× 21 0.8× 38 1.4× 37 663
Gavin Perry United Kingdom 16 357 1.0× 129 1.0× 4 0.1× 41 1.5× 21 0.8× 30 672
Bryan J. Hansen United States 10 297 0.8× 156 1.2× 8 0.1× 41 1.5× 6 0.2× 15 396
Pascal Wallisch United States 11 341 0.9× 62 0.5× 42 0.8× 24 0.9× 2 0.1× 26 448
Allison N. McCoy United States 12 788 2.1× 127 1.0× 39 0.7× 58 2.1× 20 0.7× 18 1.1k
Hansem Sohn United States 12 401 1.1× 65 0.5× 19 0.3× 16 0.6× 19 471
Arash Yazdanbakhsh United States 15 528 1.4× 59 0.5× 40 0.7× 32 1.1× 39 600
Scott C. Molitor United States 14 121 0.3× 150 1.2× 31 0.6× 59 2.1× 2 0.1× 23 468

Countries citing papers authored by Jonathan Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Cannon

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cannon. A scholar is included among the top collaborators of Jonathan Cannon 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 Jonathan Cannon. Jonathan Cannon 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.
Cannon, Jonathan. (2025). Marching to Your Own Beat. Music Perception An Interdisciplinary Journal. 43(1). 49–60.
2.
Cardinaux, Annie, et al.. (2024). Proportional Overrepresentation of Gender-Diverse Identities in Two US-Based Autistic Adult Samples from the SPARK Database. Autism in Adulthood. 7(6). 685–697. 1 indexed citations
3.
Cannon, Jonathan, et al.. (2024). Reduced precision of motor and perceptual rhythmic timing in autistic adults. Heliyon. 10(14). e34261–e34261.
4.
Koskey, Kristin L. K., Annie Cardinaux, Jonathan Cannon, et al.. (2024). Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire. Journal of Autism and Developmental Disorders. 55(7). 2550–2565.
5.
Cannon, Jonathan, et al.. (2024). Inferred representations behave like oscillators in dynamic Bayesian models of beat perception. Journal of Mathematical Psychology. 122. 102869–102869. 3 indexed citations
6.
Large, Edward W., Ji Chul Kim, Jonathan Cannon, et al.. (2023). Dynamic models for musical rhythm perception and coordination. Frontiers in Computational Neuroscience. 17. 1151895–1151895. 27 indexed citations
7.
Cannon, Jonathan, et al.. (2023). Rhythmic and interval‐based temporal orienting in autism. Autism Research. 16(4). 772–782. 7 indexed citations
8.
Treves, Isaac N., et al.. (2023). Autistic Adults Show Intact Learning on a Visuospatial Serial Reaction Time Task. Journal of Autism and Developmental Disorders. 54(4). 1549–1557. 6 indexed citations
9.
Cannon, Jonathan, et al.. (2022). Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Computational Biology. 18(9). e1010579–e1010579. 14 indexed citations
10.
Cannon, Jonathan, et al.. (2022). Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT). Attention Perception & Psychophysics. 84(8). 2702–2714. 1 indexed citations
11.
Cannon, Jonathan. (2021). Expectancy-based rhythmic entrainment as continuous Bayesian inference. PLoS Computational Biology. 17(6). e1009025–e1009025. 28 indexed citations
12.
Miller, Paul & Jonathan Cannon. (2018). Combined mechanisms of neural firing rate homeostasis. Biological Cybernetics. 113(1-2). 47–59. 10 indexed citations
13.
Cannon, Jonathan & Paul Miller. (2017). Stable Control of Firing Rate Mean and Variance by Dual Homeostatic Mechanisms. PubMed. 7(1). 1–1. 15 indexed citations
15.
Cannon, Jonathan & Paul Miller. (2016). Synaptic and intrinsic homeostasis cooperate to optimize single neuron response properties and tune integrator circuits. Journal of Neurophysiology. 116(5). 2004–2022. 20 indexed citations
16.
Cannon, Jonathan, Nancy Kopell, Timothy J. Gardner, & Jeffrey E. Markowitz. (2015). Neural Sequence Generation Using Spatiotemporal Patterns of Inhibition. PLoS Computational Biology. 11(11). e1004581–e1004581. 15 indexed citations
17.
Cannon, Jonathan & Nancy Kopell. (2015). The Leaky Oscillator: Properties of Inhibition-Based Rhythms Revealed through the Singular Phase Response Curve. SIAM Journal on Applied Dynamical Systems. 14(4). 1930–1977. 7 indexed citations
18.
Cannon, Jonathan, Michelle M. McCarthy, Shane Lee, et al.. (2013). Neurosystems: brain rhythms and cognitive processing. European Journal of Neuroscience. 39(5). 705–719. 157 indexed citations
19.
Zinselmeyer, Bernd H., John Dempster, David L. Wokosin, et al.. (2009). Chapter 16 Two‐Photon Microscopy and Multidimensional Analysis of Cell Dynamics. Methods in enzymology on CD-ROM/Methods in enzymology. 461. 349–378. 53 indexed citations
20.
Kamath, Markad V., et al.. (1986). Detection of Myocardial Scars in Neonatal Infants from Computerized Echocardiographic Texture Analysis. Engineering in Medicine. 15(3). 137–141. 6 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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