Austin J. Brockmeier

1.5k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

Austin J. Brockmeier is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Austin J. Brockmeier has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 16 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Austin J. Brockmeier's work include Neural dynamics and brain function (19 papers), EEG and Brain-Computer Interfaces (17 papers) and Blind Source Separation Techniques (9 papers). Austin J. Brockmeier is often cited by papers focused on Neural dynamics and brain function (19 papers), EEG and Brain-Computer Interfaces (17 papers) and Blind Source Separation Techniques (9 papers). Austin J. Brockmeier collaborates with scholars based in United States, United Kingdom and Japan. Austin J. Brockmeier's co-authors include José C. Prı́ncipe, Sohan Seth, Bilal Fadlallah, Ling Li, A. Keil, Joseph T. Francis, John Choi, Il Memming Park, Mulugeta Semework and Sophia Ananiadou and has published in prestigious journals such as NeuroImage, Sports Medicine and Current Opinion in Neurobiology.

In The Last Decade

Austin J. Brockmeier

42 papers receiving 1.1k citations

Hit Papers

Engineering in Medicine and Biology Society (EMBC), 2012 ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin J. Brockmeier United States 12 291 273 170 162 112 44 1.1k
Sohan Seth United States 18 521 1.8× 382 1.4× 335 2.0× 233 1.4× 105 0.9× 72 1.9k
Anikó Ekárt United Kingdom 16 313 1.1× 205 0.8× 175 1.0× 144 0.9× 29 0.3× 71 1.2k
Reza Ebrahimpour Iran 21 458 1.6× 618 2.3× 473 2.8× 136 0.8× 63 0.6× 139 2.0k
Kamran Kazemi Iran 17 172 0.6× 312 1.1× 297 1.7× 117 0.7× 31 0.3× 97 1.0k
Francisco J. Martínez-Murcia Spain 21 264 0.9× 304 1.1× 238 1.4× 90 0.6× 29 0.3× 62 1.3k
Michael Eichler Netherlands 22 252 0.9× 610 2.2× 51 0.3× 49 0.3× 103 0.9× 51 1.8k
Ali Hassan Pakistan 19 279 1.0× 313 1.1× 268 1.6× 125 0.8× 50 0.4× 91 1.1k
Naohiro Ishii Japan 16 265 0.9× 208 0.8× 174 1.0× 64 0.4× 63 0.6× 168 954
Roberto Prevete Italy 16 403 1.4× 236 0.9× 125 0.7× 119 0.7× 37 0.3× 63 1.1k
Mateo Aboy United States 27 220 0.8× 523 1.9× 121 0.7× 746 4.6× 91 0.8× 122 2.5k

Countries citing papers authored by Austin J. Brockmeier

Since Specialization
Citations

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

Fields of papers citing papers by Austin J. Brockmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin J. Brockmeier. 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 Austin J. Brockmeier. The network helps show where Austin J. Brockmeier may publish in the future.

Co-authorship network of co-authors of Austin J. Brockmeier

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

All Works

20 of 20 papers shown
1.
Brockmeier, Austin J., et al.. (2024). Integrative data analysis to identify persistent post-concussion deficits and subsequent musculoskeletal injury risk: project structure and methods. BMJ Open Sport & Exercise Medicine. 10(1). e001859–e001859. 2 indexed citations
2.
McIlvain, Grace, et al.. (2024). MRI-based whole-brain elastography and volumetric measurements to predict brain age. Biology Methods and Protocols. 10(1). bpae086–bpae086. 1 indexed citations
4.
Brockmeier, Austin J., et al.. (2019). Circular object arrangement using spherical embeddings. Pattern Recognition. 103. 107192–107192. 3 indexed citations
5.
Brockmeier, Austin J., Meizhi Ju, Piotr Przybyła, & Sophia Ananiadou. (2019). Improving reference prioritisation with PICO recognition. BMC Medical Informatics and Decision Making. 19(1). 256–256. 37 indexed citations
6.
Przybyła, Piotr, Austin J. Brockmeier, & Sophia Ananiadou. (2019). Quantifying risk factors in medical reports with a context-aware linear model. Journal of the American Medical Informatics Association. 26(6). 537–546. 1 indexed citations
7.
Brockmeier, Austin J., Tingting Mu, Sophia Ananiadou, & John Y. Goulermas. (2018). Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Transactions on Knowledge and Data Engineering. 30(10). 1929–1942. 11 indexed citations
8.
Przybyła, Piotr, Austin J. Brockmeier, Georgios Kontonatsios, et al.. (2018). Prioritising references for systematic reviews with RobotAnalyst: A user study. Research Synthesis Methods. 9(3). 470–488. 90 indexed citations
9.
Kontonatsios, Georgios, Austin J. Brockmeier, Piotr Przybyła, et al.. (2017). A semi-supervised approach using label propagation to support citation screening. Journal of Biomedical Informatics. 72. 67–76. 33 indexed citations
10.
Brockmeier, Austin J.. (2014). LEARNING AND EXPLOITING RECURRENT PATTERNS IN NEURAL DATA. 1 indexed citations
11.
Prı́ncipe, José C. & Austin J. Brockmeier. (2014). Representing and decomposing neural potential signals. Current Opinion in Neurobiology. 31. 13–17. 8 indexed citations
12.
Li, Lin, Austin J. Brockmeier, John Choi, et al.. (2014). A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Computational Intelligence and Neuroscience. 2014. 1–16. 13 indexed citations
13.
Durá-Bernal, Salvador, Kan Li, Austin J. Brockmeier, et al.. (2014). Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. BMC Neuroscience. 15(S1). 1 indexed citations
14.
Brockmeier, Austin J., José C. Prı́ncipe, Anh Huy Phan, & Andrzej Cichocki. (2013). A greedy algorithm for model selection of tensor decompositions. 7. 6113–6117. 7 indexed citations
15.
Fadlallah, Bilal, Austin J. Brockmeier, Sohan Seth, et al.. (2012). Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 457 indexed citations breakdown →
16.
Li, Lin, Il Memming Park, Austin J. Brockmeier, et al.. (2012). Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns With a Reproducing Kernel Hilbert Space (RKHS) Framework. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(4). 532–543. 20 indexed citations
17.
Seth, Sohan, Austin J. Brockmeier, John Choi, et al.. (2011). Evaluating dependence in spike train metric spaces. 76. 2645–2652. 6 indexed citations
18.
Seth, Sohan, Austin J. Brockmeier, & José C. Prı́ncipe. (2011). A metric approach toward point process divergence. 2104–2107. 1 indexed citations
19.
Seth, Sohan, Il Memming Park, Austin J. Brockmeier, et al.. (2010). A novel family of non-parametric cumulative based divergences for point processes. Neural Information Processing Systems. 23. 2119–2127. 4 indexed citations
20.
Brockmeier, Austin J., Il Memming Park, Babak Mahmoudi, Justin C. Sanchez, & José C. Prı́ncipe. (2010). Spatio-temporal clustering of firing rates for neural state estimation. PubMed. 2. 6023–6026. 1 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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