Brandon Westover

3.1k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Brandon Westover is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Signal Processing. According to data from OpenAlex, Brandon Westover has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 6 papers in Signal Processing. Recurrent topics in Brandon Westover's work include EEG and Brain-Computer Interfaces (11 papers), Epilepsy research and treatment (8 papers) and Time Series Analysis and Forecasting (4 papers). Brandon Westover is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Epilepsy research and treatment (8 papers) and Time Series Analysis and Forecasting (4 papers). Brandon Westover collaborates with scholars based in United States, Singapore and India. Brandon Westover's co-authors include Thanawin Rakthanmanon, Gustavo Batista, Jesin Zakaria, Abdullah Mueen, Eamonn Keogh, Bilson Campana, Qiang Zhu, Shahid Bashir, Lindsay M. Oberman and Marine Vernet and has published in prestigious journals such as Neurology, IEEE Transactions on Biomedical Engineering and European Urology.

In The Last Decade

Brandon Westover

22 papers receiving 1.4k citations

Hit Papers

Searching and mining trillions of time series subsequence... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brandon Westover United States 14 746 475 360 161 141 23 1.4k
Claudia Plant Germany 21 364 0.5× 819 1.7× 306 0.8× 441 2.7× 143 1.0× 135 1.8k
Carlos G. Puntonet Spain 26 663 0.9× 475 1.0× 368 1.0× 532 3.3× 323 2.3× 109 2.1k
Régine Le Bouquin Jeannès France 18 440 0.6× 180 0.4× 556 1.5× 248 1.5× 32 0.2× 109 1.4k
G. Swapna India 13 339 0.5× 370 0.8× 696 1.9× 99 0.6× 64 0.5× 16 1.5k
Maheshkumar H. Kolekar India 26 424 0.6× 291 0.6× 408 1.1× 652 4.0× 83 0.6× 99 1.7k
Heikki Huttunen Finland 20 644 0.9× 533 1.1× 217 0.6× 589 3.7× 240 1.7× 90 2.2k
Tharindu Fernando Australia 17 222 0.3× 348 0.7× 358 1.0× 328 2.0× 53 0.4× 45 1.2k
Ali Hassan Pakistan 19 314 0.4× 279 0.6× 313 0.9× 268 1.7× 48 0.3× 91 1.1k
Rajeev Sharma India 18 587 0.8× 197 0.4× 893 2.5× 386 2.4× 37 0.3× 67 1.7k
Javad Haddadnia Iran 21 191 0.3× 308 0.6× 263 0.7× 601 3.7× 102 0.7× 126 1.4k

Countries citing papers authored by Brandon Westover

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Westover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Westover

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Westover. A scholar is included among the top collaborators of Brandon Westover 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 Brandon Westover. Brandon Westover 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.
Maganti, Rama, Joshua J. LaRocque, Masoom Desai, et al.. (2024). Seizure Assessment and Forecasting With Efficient Rapid-EEG. Neurology. 103(2). e209621–e209621. 5 indexed citations
3.
Thomas, John, Nishant Sinha, Rajamanickam Yuvaraj, et al.. (2022). Improving automated diagnosis of epilepsy from EEGs beyond IEDs. Journal of Neural Engineering. 19(6). 66017–66017. 14 indexed citations
4.
Nayan, Madhur, Keyan Salari, Anthony Bozzo, et al.. (2021). A machine learning approach to predict progression on active surveillance for prostate cancer. Urologic Oncology Seminars and Original Investigations. 40(4). 161.e1–161.e7. 18 indexed citations
5.
Pedemonte, Juan C., Haoqi Sun, Marilyn Heng, et al.. (2021). Postoperative delirium mediates 180-day mortality in orthopaedic trauma patients. British Journal of Anaesthesia. 127(1). 102–109. 15 indexed citations
6.
Thomas, John, Jin Jing, Rajamanickam Yuvaraj, et al.. (2021). Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. International Journal of Neural Systems. 31(5). 2050074–2050074. 32 indexed citations
7.
Nayan, Madhur, Keyan Salari, Anthony Bozzo, et al.. (2021). A machine learning approach to predicting progression on active surveillance for prostate cancer. European Urology. 79. S1451–S1452. 1 indexed citations
8.
Thomas, John, Jin Jing, Rajamanickam Yuvaraj, et al.. (2020). Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. International Journal of Neural Systems. 30(11). 2050030–2050030. 59 indexed citations
9.
Biswal, Siddharth, Cao Xiao, Lucas M. Glass, Brandon Westover, & Jimeng Sun. (2020). CLARA: Clinical Report Auto-completion. 541–550. 21 indexed citations
10.
Song, Jiangling, et al.. (2019). A new neural mass model driven method and its application in early epileptic seizure detection. IEEE Transactions on Biomedical Engineering. 67(8). 1–1. 27 indexed citations
11.
Herlopian, Aline, Aaron F. Struck, Eric S. Rosenthal, & Brandon Westover. (2018). Neuroimaging Correlates of Periodic Discharges. Journal of Clinical Neurophysiology. 35(4). 279–294. 14 indexed citations
12.
Sun, Haoqi, Sunil B. Nagaraj, Oluwaseun Akeju, Patrick L. Purdon, & Brandon Westover. (2018). Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network. PubMed. 2018. 1–4. 8 indexed citations
13.
Berkowitz, Aaron L., Brandon Westover, Matt T. Bianchi, & Sherry Chou. (2015). Aspirin for secondary prevention after stroke of unknown etiology in resource-limited settings: a decision analysis. Annals of Global Health. 81(1). 87–87.
14.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Addressing Big Data Time Series. ACM Transactions on Knowledge Discovery from Data. 7(3). 1–31. 145 indexed citations
15.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Data mining a trillion time series subsequences under dynamic time warping. 3047–3051. 13 indexed citations
16.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Addressing Big Data Time Series. ACM Transactions on Knowledge Discovery from Data. 7(3). 1–31. 53 indexed citations
17.
Westover, Brandon, et al.. (2012). Data-driven modeling of sleep states from EEG. PubMed. 2012. 5090–5093. 8 indexed citations
18.
Liddle, Stephen T., Liam M. Grover, Rui Zhang, et al.. (2012). Safety evaluation of a Medical Device Data System. PubMed. 2012. 5899–5902. 6 indexed citations
19.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2012). Searching and mining trillions of time series subsequences under dynamic time warping. PubMed. 2012. 262–270. 677 indexed citations breakdown →
20.
Pascual‐Leone, Álvaro, Catarina Freitas, Lindsay M. Oberman, et al.. (2011). Characterizing Brain Cortical Plasticity and Network Dynamics Across the Age-Span in Health and Disease with TMS-EEG and TMS-fMRI. Brain Topography. 24(3-4). 302–315. 251 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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