Brian Scally

421 total citations
7 papers, 257 citations indexed

About

Brian Scally is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Brian Scally has authored 7 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Psychiatry and Mental health. Recurrent topics in Brian Scally's work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Brian Scally is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Brian Scally collaborates with scholars based in United Kingdom, Brazil and Israel. Brian Scally's co-authors include Melanie Rose Burke, Jean‐François Delvenne, David Bunce, Javier Escudero, Renato Anghinah, Luis Basile, Daniel Abásolo, Mario A. Parra, Laura Trutoiu and James B. Phillips and has published in prestigious journals such as Neurobiology of Aging, Neuroscience Letters and Journal of Neural Engineering.

In The Last Decade

Brian Scally

7 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Scally United Kingdom	6	198	34	27	22	22	7	257
Shiang Hu China	8	252 1.3×	18 0.5×	17 0.6×	24 1.1×	8 0.4×	15	296
Yihong Qiu China	9	257 1.3×	22 0.6×	15 0.6×	47 2.1×	13 0.6×	25	320
Piyush Swami India	8	284 1.4×	16 0.5×	28 1.0×	61 2.8×	8 0.4×	23	314
William E. Lievens United States	3	177 0.9×	15 0.4×	40 1.5×	33 1.5×	9 0.4×	8	253
Esther Ibáñez‐Marcelo Italy	6	111 0.6×	15 0.4×	33 1.2×	11 0.5×	19 0.9×	9	282
Eric He United States	6	230 1.2×	17 0.5×	13 0.5×	18 0.8×	26 1.2×	8	311
Helena Melero Spain	7	110 0.6×	37 1.1×	19 0.7×	15 0.7×	64 2.9×	15	255
Olga Perepelkina Russia	8	95 0.5×	29 0.9×	27 1.0×	61 2.8×	16 0.7×	17	208
Fengpei Yuan United States	8	101 0.5×	17 0.5×	30 1.1×	12 0.5×	30 1.4×	18	237
Rodolfo Abreu Portugal	8	308 1.6×	33 1.0×	22 0.8×	8 0.4×	98 4.5×	14	368

Countries citing papers authored by Brian Scally

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Scally

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Scally. A scholar is included among the top collaborators of Brian Scally 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 Brian Scally. Brian Scally 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:

7 of 7 papers shown

1.

Delvenne, Jean‐François, Brian Scally, & Melanie Rose Burke. (2023). Splenium tract projections of the corpus callosum to the parietal cortex classifies Alzheimer’s disease and mild cognitive impairment. Neuroscience Letters. 810. 137331–137331. 5 indexed citations

2.

Escudero, Javier, Mario A. Parra, Brian Scally, et al.. (2022). A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3175–3178. 7 indexed citations

3.

Escudero, Javier, Mario A. Parra, Brian Scally, et al.. (2021). Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing. Journal of Neural Engineering. 18(4). 46087–46087. 57 indexed citations

4.

Delvenne, Jean‐François, Brian Scally, David Bunce, & Melanie Rose Burke. (2020). Splenium tracts of the corpus callosum degrade in old age. Neuroscience Letters. 742. 135549–135549. 7 indexed citations

5.

Scally, Brian, Melanie Rose Burke, David Bunce, & Jean‐François Delvenne. (2018). Resting-state EEG power and connectivity are associated with alpha peak frequency slowing in healthy aging. Neurobiology of Aging. 71. 149–155. 132 indexed citations

6.

Scally, Brian, Melanie Rose Burke, David Bunce, & Jean‐François Delvenne. (2018). Visual and visuomotor interhemispheric transfer time in older adults. Neurobiology of Aging. 65. 69–76. 8 indexed citations

7.

Whitmire, Eric, et al.. (2016). EyeContact. 184–191. 41 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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