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
-
- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 3
-
- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- Melanie Rose Burke (4 shared papers)Jean‐François Delvenne (4 shared papers)David Bunce (3 shared papers)Luis Basile (2 shared papers)Daniel Abásolo (2 shared papers)Mario A. Parra (2 shared papers)Javier Escudero (2 shared papers)Renato Anghinah (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 KingdomBrazilIsrael
In The Last Decade
Brian Scally
7 papers receiving 252 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 198
- Human-Computer Interaction 34
- Neurology 15
- Psychiatry and Mental health 27
- Signal Processing 11
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 | 132 | |
| 2 | 2021 | 57 | |
| 3 | 2016 | 41 | |
| 4 | 2018 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2023 | 5 |
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 257 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced MRI Techniques and Applications (2 papers), Dementia and Cognitive Impairment Research (2 papers), Gaze Tracking and Assistive Technology (1 paper), Augmented Reality Applications (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (198 citations), Human-Computer Interaction (34 citations), Neurology (15 citations), Psychiatry and Mental health (27 citations) and Signal Processing (11 citations). Brian Scally has collaborated with scholars based in United Kingdom, Brazil and Israel. Frequent co-authors include Melanie Rose Burke, Jean‐François Delvenne, David Bunce, Luis Basile, Daniel Abásolo, Mario A. Parra, Javier Escudero, Renato Anghinah, James B. Phillips and Eric Whitmire. 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.