Bradley G. Goodyear
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 47
- EEG and Brain-Computer Interfaces 13
- Neural and Behavioral Psychology Studies 10
- Neurobiology of Language and Bilingualism 9
- Neural dynamics and brain function 9
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- Advanced MRI Techniques and Applications 29
- Advanced Neuroimaging Techniques and Applications 24
- Psychiatry and Mental health top 2%
- Speech and Hearing top 1%
- Neurology top 5%
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- Traumatic Brain Injury Research 15
- Co-authors
- Ravi S. MenonJodi D. EdwardsJoseph S. GatiRuth E. MartinDavid CrockfordRichard FrayneIsmael Gaxiola‐ValdezPenny M. Pexman
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Bradley G. Goodyear
109 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 141
- Cognitive Neuroscience 1.8k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Psychiatry and Mental health 652
- Speech and Hearing 256
- Neurology 226
Countries citing papers authored by Bradley G. Goodyear
This map shows the geographic impact of Bradley G. Goodyear'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 Bradley G. Goodyear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley G. Goodyear more than expected).
Fields of papers citing papers by Bradley G. Goodyear
This network shows the impact of papers produced by Bradley G. Goodyear. 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 Bradley G. Goodyear. The network helps show where Bradley G. Goodyear may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bradley G. Goodyear, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 32 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 11 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 27 | |
| 13 | 2016 | 43 | |
| 14 | 2015 | 33 | |
| 15 | Pediatric Post-Concussion Symptoms Are Associated with Reduced Cortical Communication as Detected with Near-Infrared Spectroscopy | 2014 | 1 |
| 16 | 2014 | 15 | |
| 17 | 2014 | 125 | |
| 18 | 2012 | 32 | |
| 19 | 2011 | 9 | |
| 20 | 1999 | 138 |
About Bradley G. Goodyear
Bradley G. Goodyear is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 113 papers that have together received 3.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (47 papers), Advanced MRI Techniques and Applications (29 papers), Advanced Neuroimaging Techniques and Applications (24 papers), Traumatic Brain Injury Research (15 papers), EEG and Brain-Computer Interfaces (13 papers), Neural and Behavioral Psychology Studies (10 papers), Neurobiology of Language and Bilingualism (9 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Psychiatry and Mental health (652 citations). Bradley G. Goodyear has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ravi S. Menon, Jodi D. Edwards, Joseph S. Gati, Ruth E. Martin, David Crockford, Richard Frayne, Ismael Gaxiola‐Valdez, Penny M. Pexman, Nady el‐Guebaly and Rajamannar Ramasubbu. Their work appears in journals such as PLoS ONE, NeuroImage and Brain.
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.