Cody Doyle

463 total citations
10 papers, 237 citations indexed

About

Cody Doyle is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cody Doyle has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Atomic and Molecular Physics, and Optics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cody Doyle's work include Functional Brain Connectivity Studies (10 papers), Atomic and Subatomic Physics Research (8 papers) and EEG and Brain-Computer Interfaces (4 papers). Cody Doyle is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Atomic and Subatomic Physics Research (8 papers) and EEG and Brain-Computer Interfaces (4 papers). Cody Doyle collaborates with scholars based in United Kingdom, Canada and China. Cody Doyle's co-authors include Niall Holmes, Matthew J. Brookes, James Osborne, Ryan M. Hill, Richard Bowtell, Elena Boto, Vishal Shah, Molly Rea, Natalie Rhodes and James Leggett and has published in prestigious journals such as NeuroImage, Scientific Reports and eLife.

In The Last Decade

Cody Doyle

8 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cody Doyle United Kingdom	6	190	122	92	34	26	10	237
Lukas Rier United Kingdom	9	162 0.9×	131 1.1×	77 0.8×	25 0.7×	36 1.4×	18	256
David Woolger United Kingdom	6	141 0.7×	65 0.5×	69 0.8×	38 1.1×	34 1.3×	9	207
Amir Borna United States	9	356 1.9×	140 1.1×	223 2.4×	53 1.6×	48 1.8×	15	429
Tony R. Carter United States	7	337 1.8×	122 1.0×	209 2.3×	46 1.4×	46 1.8×	9	389
Matthieu Le Prado France	9	232 1.2×	84 0.7×	109 1.2×	28 0.8×	33 1.3×	11	291
Kaiyan He China	5	126 0.7×	51 0.4×	78 0.8×	24 0.7×	22 0.8×	11	169
Christoph Pfeiffer Sweden	10	114 0.6×	76 0.6×	63 0.7×	21 0.6×	47 1.8×	22	212
Sean Krzyzewski United States	8	385 2.0×	69 0.6×	167 1.8×	52 1.5×	58 2.2×	16	422
Shuangai Wan China	13	359 1.9×	42 0.3×	166 1.8×	35 1.0×	37 1.4×	20	406
Keigo Kamada Japan	10	310 1.6×	39 0.3×	204 2.2×	15 0.4×	17 0.7×	14	325

Countries citing papers authored by Cody Doyle

Since Specialization

Citations

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

Fields of papers citing papers by Cody Doyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Doyle

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Hill, Ryan M., G. Rivero, Cody Doyle, et al.. (2025). Determining sensor geometry and gain in a wearable MEG system. Imaging Neuroscience. 3. 2 indexed citations

2.

Rivero, G., Lukas Rier, Ryan M. Hill, et al.. (2025). OPM-MEG reveals dynamics of beta bursts underlying attentional processes in sensory cortex. Scientific Reports. 15(1). 30471–30471.

3.

Rier, Lukas, G. Rivero, Niall Holmes, et al.. (2025). Demonstrating equivalence across magnetoencephalography scanner platforms using neural fingerprinting. Imaging Neuroscience. 3.

4.

Hill, Ryan M., Elena Boto, Lukas Rier, et al.. (2024). Optimising the sensitivity of optically-pumped magnetometer magnetoencephalography to gamma band electrophysiological activity. Imaging Neuroscience. 2. 13 indexed citations

5.

Rier, Lukas, Natalie Rhodes, Elena Boto, et al.. (2024). Tracking the neurodevelopmental trajectory of beta band oscillations with optically pumped magnetometer-based magnetoencephalography. eLife. 13. 1 indexed citations

6.

Rier, Lukas, Natalie Rhodes, Elena Boto, et al.. (2024). Tracking the neurodevelopmental trajectory of beta band oscillations with optically pumped magnetometer-based magnetoencephalography. eLife. 13. 19 indexed citations

7.

Rier, Lukas, Sebastian Michelmann, Harrison Ritz, et al.. (2023). Test-retest reliability of the human connectome: An OPM-MEG study. Imaging Neuroscience. 1. 9 indexed citations

8.

Rhodes, Natalie, Molly Rea, Elena Boto, et al.. (2023). Measurement of Frontal Midline Theta Oscillations using OPM-MEG. NeuroImage. 271. 120024–120024. 49 indexed citations

9.

Boto, Elena, Vishal Shah, Ryan M. Hill, et al.. (2022). Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children. NeuroImage. 252. 119027–119027. 121 indexed citations

10.

Boto, Elena, Vishal Shah, Ryan M. Hill, et al.. (2022). Quantum enabled functional neuroimaging: the why and how of magnetoencephalography using optically pumped magnetometers. Contemporary Physics. 63(3). 161–179. 23 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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