Karl McCreadie

838 total citations · 1 hit paper
25 papers, 603 citations indexed

About

Karl McCreadie is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Karl McCreadie has authored 25 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Karl McCreadie's work include EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (15 papers) and Neural dynamics and brain function (9 papers). Karl McCreadie is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (15 papers) and Neural dynamics and brain function (9 papers). Karl McCreadie collaborates with scholars based in United Kingdom, Ireland and India. Karl McCreadie's co-authors include Girijesh Prasad, Pramod Gaur, Ram Bilas Pachori, Hui Wang, Anirban Chowdhury, Damien Coyle, Harsh Gupta, Sujit Roy, Dheeraj Rathee and Áine Carroll and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, Frontiers in Neuroscience and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Karl McCreadie

23 papers receiving 592 citations

Hit Papers

A Sliding Window Common Spatial Pattern for Enhancing Mot... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI
    2021 186 citations Pramod Gaur, Harsh Gupta et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers

Karl McCreadie
Michael Bensch Germany
François Cabestaing France
Rui Na China
Francesca Schettini Italy
Xiaowei Zheng China
Clemens Holzner Spain
Ravikiran Mane Singapore
Laura Acqualagna Germany
Michael Bensch Germany
Karl McCreadie
Citations per year, relative to Karl McCreadie Karl McCreadie (= 1×) peers Michael Bensch

Countries citing papers authored by Karl McCreadie

Since Specialization
Citations

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

Fields of papers citing papers by Karl McCreadie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl McCreadie

This figure shows the co-authorship network connecting the top 25 collaborators of Karl McCreadie. A scholar is included among the top collaborators of Karl McCreadie 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 Karl McCreadie. Karl McCreadie 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.
Pourshahidi, L. Kirsty, et al.. (2024). Evolution of Ostomy Pouch Design: Opportunities for Composite Technologies to Advance Patient Care. Journal of Composites Science. 8(10). 388–388. 1 indexed citations
2.
3.
McCreadie, Karl, et al.. (2023). Decoding Motion Trajectories in an Upper Limb BCI: Linear Regression vs Deep Learning. 1039–1044. 1 indexed citations
4.
McCreadie, Karl, et al.. (2023). Exploiting Laser-Induced Graphene Composites as Substrates for Copper-Mediated Nitrate Reduction. Journal of Composites Science. 7(9). 397–397. 3 indexed citations
5.
Korik, Attila, et al.. (2022). Competing at the Cybathlon championship for people with disabilities: long-term motor imagery brain–computer interface training of a cybathlete who has tetraplegia. Journal of NeuroEngineering and Rehabilitation. 19(1). 95–95. 7 indexed citations
6.
McCreadie, Karl, et al.. (2022). Online 3D Motion Decoder BCI for Embodied Virtual Reality Upper Limb Control: A Pilot Study. 697–702. 3 indexed citations
7.
Gaur, Pramod, Harsh Gupta, Anirban Chowdhury, et al.. (2021). A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Transactions on Instrumentation and Measurement. 70. 1–9. 186 indexed citations breakdown →
8.
Gaur, Pramod, Karl McCreadie, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2021). An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation. Biomedical Signal Processing and Control. 68. 102574–102574. 68 indexed citations
9.
Roy, Sujit, Anirban Chowdhury, Karl McCreadie, & Girijesh Prasad. (2020). Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces. Frontiers in Neuroscience. 14. 918–918. 46 indexed citations
10.
Roy, Sujit, Dheeraj Rathee, Anirban Chowdhury, Karl McCreadie, & Girijesh Prasad. (2020). Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data. Journal of Neural Engineering. 17(5). 56037–56037. 27 indexed citations
11.
Roy, Sujit, Shirin Dora, Karl McCreadie, & Girijesh Prasad. (2020). MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals. Research Explorer (The University of Manchester). 1–8. 23 indexed citations
12.
Roy, Sujit, Vahab Youssofzadeh, Karl McCreadie, & Girijesh Prasad. (2020). Mapping BCI task imagery brain responses using MEG beta power desynchrony effects. Ulster University Research Portal (Ulster University). 1 indexed citations
13.
Roy, Sujit, Karl McCreadie, & Girijesh Prasad. (2019). Can a Single Model Deep Learning Approach Enhance Classification Accuracy of an EEG-based Brain-Computer Interface?. Research Explorer (The University of Manchester). 1317–1321. 10 indexed citations
14.
Gaur, Pramod, Karl McCreadie, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2019). Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain–Computer Interface. International Journal of Neural Systems. 29(10). 1950025–1950025. 69 indexed citations
15.
McLister, Anna, et al.. (2015). An electronic approach to minimising moisture-associated skin damage in ostomy patients. Medical Hypotheses. 85(2). 192–196. 2 indexed citations
16.
Coyle, Damien, et al.. (2015). Sensorimotor Modulation Assessment and Brain-Computer Interface Training in Disorders of Consciousness. Archives of Physical Medicine and Rehabilitation. 96(3). S62–S70. 43 indexed citations
17.
McCreadie, Karl, Damien Coyle, & Girijesh Prasad. (2013). Motor Imagery BCI Feedback Presented as a 3D VBAP Auditory Asteroids Game. 1 indexed citations
18.
McCreadie, Karl, Damien Coyle, & Girijesh Prasad. (2012). Sensorimotor learning with stereo auditory feedback for a brain–computer interface. Medical & Biological Engineering & Computing. 51(3). 285–293. 24 indexed citations
19.
McCreadie, Karl, Damien Coyle, & Girijesh Prasad. (2012). Sensorimotor-rhythm Modulation Feedback with 3D Vector-base Amplitude Panning - A Brain-computer Interface Pilot Study. 100–100. 5 indexed citations
20.
McCreadie, Karl, Damien Coyle, & Girijesh Prasad. (2012). Learning to modulate sensorimotor rhythms with stereo auditory feedback for a brain-computer interface. PubMed. 2012. 6711–6714. 8 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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Rankless by CCL
2026