Brian Scally
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 3
- Tactile and Sensory Interactions 1
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- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- Retinal Imaging and Analysis 1
- Co-authors
- Jean‐François Delvenne (4 shared papers)Melanie Rose Burke (4 shared papers)David Bunce (3 shared papers)Daniel Abásolo (2 shared papers)Javier Escudero (2 shared papers)Renato Anghinah (2 shared papers)Luis Basile (2 shared papers)Mario A. Parra (2 shared papers)
- Journals
- Neurobiology of Aging (2 papers)Journal of Neural Engineering (1 paper)Neuroscience Letters (2 papers)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (1 paper)
- Partner nations
- United KingdomBrazilUnited States
In The Last Decade
Brian Scally
7 papers receiving 279 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 192
- Human-Computer Interaction 37
- Psychiatry and Mental health 28
- Neurology 16
- Critical Care and Intensive Care Medicine 7
Countries citing papers authored by Brian Scally
This map shows the geographic impact of Brian Scally'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 Brian Scally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Scally more than expected).
Fields of papers citing papers by Brian Scally
This network shows the impact of papers produced by Brian Scally. 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 Brian Scally. The network helps show where Brian Scally may publish in the future.
Co-authors
The 12 scholars most cited alongside Brian Scally, 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 | 2018 | 143 | |
| 2 | 2021 | 67 | |
| 3 | 2016 | 45 | |
| 4 | 2020 | 8 | |
| 5 | 2018 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 6 |
About Brian Scally
Brian Scally is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Dementia and Cognitive Impairment Research (2 papers), Advanced MRI Techniques and Applications (2 papers), Tactile and Sensory Interactions (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (192 citations), Human-Computer Interaction (37 citations), Psychiatry and Mental health (28 citations), Neurology (16 citations) and Critical Care and Intensive Care Medicine (7 citations). Brian Scally has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Jean‐François Delvenne, Melanie Rose Burke, David Bunce, Daniel Abásolo, Javier Escudero, Renato Anghinah, Luis Basile, Mario A. Parra, Shwetak Patel and James B. Phillips. Their work appears in journals such as Neurobiology of Aging, Journal of Neural Engineering, Neuroscience Letters and 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
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.