Leo Galway

826 total citations
43 papers, 449 citations indexed

About

Leo Galway is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Leo Galway has authored 43 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Leo Galway's work include EEG and Brain-Computer Interfaces (8 papers), Gaze Tracking and Assistive Technology (6 papers) and Emotion and Mood Recognition (5 papers). Leo Galway is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Gaze Tracking and Assistive Technology (6 papers) and Emotion and Mood Recognition (5 papers). Leo Galway collaborates with scholars based in United Kingdom, Sweden and Ireland. Leo Galway's co-authors include Raymond Bond, Hui Wang, Darryl Charles, Michaela Black, George Moore, Mark Donnelly, Chris Nugent, Anita Sant’Anna, Mark Linden and Sally McClean and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Artificial Intelligence Review.

In The Last Decade

Leo Galway

39 papers receiving 430 citations

Peers

Leo Galway
Sten Hanke Austria
Leo Galway
Citations per year, relative to Leo Galway Leo Galway (= 1×) peers Sten Hanke

Countries citing papers authored by Leo Galway

Since Specialization
Citations

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

Fields of papers citing papers by Leo Galway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Galway

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Galway. A scholar is included among the top collaborators of Leo Galway 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 Leo Galway. Leo Galway 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.
Anderson, Neil, et al.. (2024). Exploring Expectations and Prior Experience in Student-Centered Software Engineering Education. Research Portal (Queen's University Belfast). 1–8.
2.
Anderson, Neil, et al.. (2024). Using ChatGPT in Software Development Education. Research Portal (Queen's University Belfast). 1–5. 1 indexed citations
3.
Anderson, Neil, et al.. (2024). Evaluating the Impact of Unrestricted GenAI Usage on Experiential-Based Learning. Research Portal (Queen's University Belfast). 1–6.
4.
Anderson, Neil, et al.. (2024). Learning to Improve Gender Equality: An Analysis of Software Engineering Education in a UK University. Research Portal (Queen's University Belfast). 37–44. 1 indexed citations
5.
Anderson, Neil, et al.. (2024). A Data Science Course Utilizing GenAI. Research Portal (Queen's University Belfast). 1–7. 2 indexed citations
6.
Anderson, Neil, et al.. (2024). Innovative Capstone Project Approaches in a Software Development Master's Program. Research Portal (Queen's University Belfast). 1–5.
7.
Donnelly, Mark, et al.. (2018). A Comparative Analysis of Windowing Approaches in Dense Sensing Environments. SHILAP Revista de lepidopterología. 1245–1245. 19 indexed citations
8.
Sant’Anna, Anita, et al.. (2018). Affective recognition from EEG signals: an integrated data-mining approach. Journal of Ambient Intelligence and Humanized Computing. 10(10). 3955–3974. 21 indexed citations
9.
Moore, George, et al.. (2017). Validation of a Smartphone-Based Approach to In Situ Cognitive Fatigue Assessment. JMIR mhealth and uhealth. 5(8). e125–e125. 25 indexed citations
10.
Galway, Leo, Anita Sant’Anna, Antanas Verikas, et al.. (2017). Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset. Personal and Ubiquitous Computing. 21(6). 1003–1013. 73 indexed citations
11.
Bi, Yaxin, et al.. (2016). Multi-objective optimization of base classifiers in StackingC by NSGA-II for intrusion detection. Ulster University Research Portal (Ulster University). 6. 1–8. 7 indexed citations
12.
Galway, Leo, et al.. (2016). Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data. Ulster University Research Portal (Ulster University). 138–144. 26 indexed citations
13.
Palomares, Iván, et al.. (2015). A Knowledge Management and Need-Capacity Matching Approach for Community-Based Disaster Management and Recovery. Research Portal (Queen's University Belfast). 389–396. 1 indexed citations
14.
McCullagh, Paul, et al.. (2014). Quantifying brain activity for task engagement. 8–11. 2 indexed citations
15.
McCullagh, Paul, Gail Mountain, N.D. Black, et al.. (2012). Knowledge transfer for technology based interventions: Collaboration, development and evaluation. Technology and Disability. 24(3). 233–243. 7 indexed citations
16.
Nugent, Chris, Leo Galway, Lei Chen, et al.. (2011). Managing Sensor Data in Ambient Assisted Living. Journal of Computing Science and Engineering. 5(3). 237–245. 12 indexed citations
17.
Condell, Joan, et al.. (2010). Problem solving techniques in cognitive science. Artificial Intelligence Review. 34(3). 221–234. 8 indexed citations
18.
Galway, Leo, Darryl Charles, & Michaela Black. (2009). Improving Temporal Difference game agent control using a dynamic exploration during control learning. 38–45. 2 indexed citations
19.
Galway, Leo, Darryl Charles, & Michaela Black. (2008). Improvement in Game Agent Control Using State-Action Value Scaling. The European Symposium on Artificial Neural Networks. 155–160. 1 indexed citations
20.
Galway, Leo, Darryl Charles, Michaela Black, & Colin Fyfe. (2007). Temporal Difference Control within a Dynamic Environment.. 42–47. 4 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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