John McLinden

400 total citations
28 papers, 265 citations indexed

About

John McLinden is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, John McLinden has authored 28 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in John McLinden's work include EEG and Brain-Computer Interfaces (24 papers), Functional Brain Connectivity Studies (10 papers) and Neuroscience and Neural Engineering (8 papers). John McLinden is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Functional Brain Connectivity Studies (10 papers) and Neuroscience and Neural Engineering (8 papers). John McLinden collaborates with scholars based in United States and Mexico. John McLinden's co-authors include Yalda Shahriari, Seyyed Bahram Borgheai, Alyssa Hillary Zisk, Kunal Mankodiya, Mohammadreza Abtahi, Sarah Ostadabbas, Elizabeth M. Cherry, Xiaofei Huang, Kevin Spencer and Reza Sadjadi and has published in prestigious journals such as Behavioural Brain Research, Clinical Neurophysiology and Journal of Media Literacy Education.

In The Last Decade

John McLinden

25 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John McLinden United States 9 178 69 64 57 31 28 265
Seyyed Bahram Borgheai United States 9 209 1.2× 95 1.4× 73 1.1× 82 1.4× 45 1.5× 25 298
Javier Navallas Spain 9 78 0.4× 171 2.5× 61 1.0× 31 0.5× 10 0.3× 53 257
Mohammadreza Abtahi United States 9 149 0.8× 114 1.7× 38 0.6× 96 1.7× 30 1.0× 15 286
A. Berghold Austria 5 393 2.2× 56 0.8× 132 2.1× 37 0.6× 36 1.2× 8 505
Stephanie Naufel United States 10 284 1.6× 112 1.6× 156 2.4× 24 0.4× 17 0.5× 16 380
Dianning He China 10 103 0.6× 52 0.8× 42 0.7× 146 2.6× 9 0.3× 32 341
Francis R. Loayza Ecuador 11 199 1.1× 50 0.7× 64 1.0× 77 1.4× 131 4.2× 39 401
T. Cecchin France 7 195 1.1× 33 0.5× 71 1.1× 48 0.8× 17 0.5× 19 303
Manqing Wang China 10 105 0.6× 52 0.8× 48 0.8× 16 0.3× 5 0.2× 25 277

Countries citing papers authored by John McLinden

Since Specialization
Citations

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

Fields of papers citing papers by John McLinden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McLinden

This figure shows the co-authorship network connecting the top 25 collaborators of John McLinden. A scholar is included among the top collaborators of John McLinden 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 John McLinden. John McLinden 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.
2.
McLinden, John, et al.. (2024). Topology-Aware Multimodal Fusion for Neural Dynamics Representation Learning and Classification. IEEE Sensors Journal. 24(13). 21062–21073. 2 indexed citations
3.
McLinden, John, et al.. (2024). fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. Engineering Applications of Artificial Intelligence. 137. 109256–109256. 5 indexed citations
4.
McLinden, John, et al.. (2023). Investigation of electro-vascular phase-amplitude coupling during an auditory task. Computers in Biology and Medicine. 169. 107902–107902. 4 indexed citations
5.
Borgheai, Seyyed Bahram, et al.. (2023). Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme. Computers in Biology and Medicine. 168. 107658–107658. 7 indexed citations
6.
McLinden, John, et al.. (2023). Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. PubMed. 2023. 1–4.
7.
Huang, Xiaofei, et al.. (2022). A dynamical graph-based feature extraction approach to enhance mental task classification in brain–computer interfaces. Computers in Biology and Medicine. 153. 106498–106498. 5 indexed citations
8.
Borgheai, Seyyed Bahram, et al.. (2022). A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI. Neuroinformatics. 20(4). 1169–1189. 9 indexed citations
9.
McLinden, John, et al.. (2022). Individual-specific characterization of event-related hemodynamic responses during an auditory task: An exploratory study. Behavioural Brain Research. 436. 114074–114074. 5 indexed citations
10.
11.
McLinden, John, et al.. (2021). Disruptions of cortico-kinematic interactions in Parkinson’s disease. Behavioural Brain Research. 404. 113153–113153. 3 indexed citations
12.
Borgheai, Seyyed Bahram, et al.. (2021). A Graph-Based Dynamical Characterization and Inference in Hybrid BCIs. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 590–594. 2 indexed citations
13.
Borgheai, Seyyed Bahram, et al.. (2021). Multimodal fusion of EEG-fNIRS: a mutual information-based hybrid classification framework. Biomedical Optics Express. 12(3). 1635–1635. 27 indexed citations
14.
Borgheai, Seyyed Bahram, et al.. (2020). Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(12). 3129–3139. 21 indexed citations
15.
Borgheai, Seyyed Bahram, et al.. (2020). An fNIRS-Based Motor Imagery BCI for ALS: A Subject-Specific Data-Driven Approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(12). 3063–3073. 38 indexed citations
16.
Borgheai, Seyyed Bahram, John McLinden, Kunal Mankodiya, & Yalda Shahriari. (2020). Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis. Frontiers in Neuroscience. 14. 613990–613990. 8 indexed citations
17.
Zisk, Alyssa Hillary, et al.. (2020). P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis. Clinical Neurophysiology. 132(2). 632–642. 8 indexed citations
18.
Zisk, Alyssa Hillary, et al.. (2019). An exploration of neural dynamics of motor imagery for people with amyotrophic lateral sclerosis. Journal of Neural Engineering. 17(1). 16005–16005. 11 indexed citations
19.
Borgheai, Seyyed Bahram, John McLinden, Mohammadreza Abtahi, et al.. (2019). Multimodal Evaluation of Mental Workload Using a Hybrid EEG-fNIRS Brain-Computer Interface System. Journal of Media Literacy Education. 973–976. 6 indexed citations
20.
McLinden, John, et al.. (2016). Ergonomic comparison between a ‘right angle’ handle style and standard style paint brush: An electromyographic analysis. International Journal of Industrial Ergonomics. 56. 130–137. 7 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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