Matthew Bryan

769 total citations
10 papers, 510 citations indexed

About

Matthew Bryan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Matthew Bryan has authored 10 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Control and Systems Engineering. Recurrent topics in Matthew Bryan's work include EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (3 papers). Matthew Bryan is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (3 papers). Matthew Bryan collaborates with scholars based in United States, Austria and Germany. Matthew Bryan's co-authors include Annette Estes, Géraldine Dawson, Rajesh P. N. Rao, Seth D. Friedman, Andrea Stocco, Devapratim Sarma, Chantel S. Prat, Dennis Shaw, Jay N. Giedd and Stephen R. Dager and has published in prestigious journals such as PLoS ONE, Journal of Autism and Developmental Disorders and Journal of Neural Engineering.

In The Last Decade

Matthew Bryan

9 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Bryan United States	6	443	119	113	90	81	10	510
J. Patrick Mayo United States	14	564 1.3×	76 0.6×	167 1.5×	41 0.5×	93 1.1×	32	664
Joni N. Saby United States	16	498 1.1×	39 0.3×	254 2.2×	49 0.5×	75 0.9×	22	758
Kate Plaisted-Grant United Kingdom	11	414 0.9×	41 0.3×	138 1.2×	56 0.6×	89 1.1×	17	458
Jamie Barstein United States	6	390 0.9×	70 0.6×	62 0.5×	45 0.5×	89 1.1×	9	451
Sabine Schlitt Germany	12	616 1.4×	62 0.5×	103 0.9×	186 2.1×	194 2.4×	15	698
Marc N. Coutanche United States	14	784 1.8×	61 0.5×	187 1.7×	49 0.5×	42 0.5×	34	900
R. Bernier United States	6	271 0.6×	27 0.2×	84 0.7×	21 0.2×	64 0.8×	8	422
Tineke M. Snijders Netherlands	14	593 1.3×	42 0.4×	278 2.5×	21 0.2×	54 0.7×	26	740
Jason Cooperrider United States	7	799 1.8×	23 0.2×	71 0.6×	47 0.5×	145 1.8×	7	877
M. M. Tsetlin Russia	7	477 1.1×	138 1.2×	46 0.4×	34 0.4×	109 1.3×	15	526

Countries citing papers authored by Matthew Bryan

Since Specialization

Citations

This map shows the geographic impact of Matthew Bryan'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 Matthew Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Bryan more than expected).

Fields of papers citing papers by Matthew Bryan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Bryan. 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 Matthew Bryan. The network helps show where Matthew Bryan may publish in the future.

Co-authorship network of co-authors of Matthew Bryan

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Bryan. A scholar is included among the top collaborators of Matthew Bryan 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 Matthew Bryan. Matthew Bryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Bryan, Matthew, et al.. (2025). Temporal basis function models for closed-loop neural stimulation. Journal of Neural Engineering. 22(5). 56012–56012.

2.

Bryan, Matthew, et al.. (2023). Neural co-processors for restoring brain function: results from a cortical model of grasping. Journal of Neural Engineering. 20(3). 36004–36004. 4 indexed citations

3.

Bryan, Matthew, et al.. (2021). Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime. Software & Systems Modeling. 20(3). 685–709. 5 indexed citations

4.

Nicolas, Clément, et al.. (2020). Machine Learning assistant technology to facilitate Fin and 3D memory measurements on SEM and TEM images. 32–32. 1 indexed citations

5.

Rao, Rajesh P. N., et al.. (2014). A Direct Brain-to-Brain Interface in Humans. PLoS ONE. 9(11). e111332–e111332. 107 indexed citations

6.

Bryan, Matthew, et al.. (2013). Probabilistic co-adaptive brain–computer interfacing. Journal of Neural Engineering. 10(6). 66008–66008. 23 indexed citations

7.

Bryan, Matthew, et al.. (2012). Automatic extraction of command hierarchies for adaptive brain-robot interfacing. 3691–3697. 13 indexed citations

8.

Estes, Annette, Dennis Shaw, Seth D. Friedman, et al.. (2011). Basal ganglia morphometry and repetitive behavior in young children with autism spectrum disorder. Autism Research. 4(3). 212–220. 123 indexed citations

9.

Bryan, Matthew, Joshua Green, Lillian Chang, et al.. (2011). An adaptive brain-computer interface for humanoid robot control. 199–204. 49 indexed citations

10.

Estes, Annette, et al.. (2010). Discrepancies Between Academic Achievement and Intellectual Ability in Higher-Functioning School-Aged Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 41(8). 1044–1052. 185 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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