Cody Doyle
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
-
- Atomic and Subatomic Physics Research
- Quantum optics and atomic interactions
Papers in
-
- Functional Brain Connectivity Studies 10
- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 2
-
- Atomic and Subatomic Physics Research 8
- Quantum optics and atomic interactions 1
- Co-authors
- Vishal Shah (10 shared papers)Ryan M. Hill (10 shared papers)James Osborne (10 shared papers)Richard Bowtell (8 shared papers)Elena Boto (10 shared papers)Matthew J. Brookes (10 shared papers)Niall Holmes (10 shared papers)Molly Rea (4 shared papers)
- Journals
- eLife (2 papers)NeuroImage (2 papers)Contemporary Physics (1 paper)Scientific Reports (1 paper)Imaging Neuroscience (4 papers)
- Partner nations
- United KingdomCanadaChina
In The Last Decade
Cody Doyle
8 papers receiving 234 citations
Peers
Comparison fields: 5 of 33
- Cognitive Neuroscience 122
- Atomic and Molecular Physics, and Optics 190
- Radiology, Nuclear Medicine and Imaging 92
- Electronic, Optical and Magnetic Materials 19
- Biomedical Engineering 34
Countries citing papers authored by Cody Doyle
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
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-authors
The 22 scholars most cited alongside Cody Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 121 | |
| 2 | 2023 | 49 | |
| 3 | 2022 | 23 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 9 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Cody Doyle
Cody Doyle is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials and Infectious Diseases, having authored 10 papers that have together received 237 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Atomic and Subatomic Physics Research (8 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced MRI Techniques and Applications (3 papers), Magnetic and transport properties of perovskites and related materials (2 papers), Neural dynamics and brain function (2 papers) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Cognitive Neuroscience (122 citations), Atomic and Molecular Physics, and Optics (190 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Electronic, Optical and Magnetic Materials (19 citations) and Biomedical Engineering (34 citations). Cody Doyle has collaborated with scholars based in United Kingdom, Canada and China. Frequent co-authors include Vishal Shah, Ryan M. Hill, James Osborne, Richard Bowtell, Elena Boto, Matthew J. Brookes, Niall Holmes, Molly Rea, Natalie Rhodes and James Leggett. Their work appears in journals such as eLife, NeuroImage, Contemporary Physics, Scientific Reports and Imaging Neuroscience.
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.