Ian Daly

4.1k total citations · 2 hit papers
103 papers, 3.1k citations indexed

About

Ian Daly is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Ian Daly has authored 103 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Cognitive Neuroscience, 25 papers in Cellular and Molecular Neuroscience and 24 papers in Signal Processing. Recurrent topics in Ian Daly's work include EEG and Brain-Computer Interfaces (79 papers), Neural dynamics and brain function (36 papers) and Neuroscience and Neural Engineering (25 papers). Ian Daly is often cited by papers focused on EEG and Brain-Computer Interfaces (79 papers), Neural dynamics and brain function (36 papers) and Neuroscience and Neural Engineering (25 papers). Ian Daly collaborates with scholars based in United Kingdom, China and Poland. Ian Daly's co-authors include Jing Jin, Andrzej Cichocki, Gernot Müller-Putz, Yangyang Miao, Slawomir J. Nasuto, Xingyu Wang, Reinhold Scherer, Cili Zuo, Dewen Hu and Martin Billinger and has published in prestigious journals such as The Lancet, PLoS ONE and Stroke.

In The Last Decade

Ian Daly

98 papers receiving 3.0k citations

Hit Papers

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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.

Correlation-based channel selection and regularized feature optimization for MI-based BCI

2019 277 citations Jing Jin, Yangyang Miao et al. Neural Networks profile →
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

2020 216 citations Jing Jin, Ian Daly et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ian Daly	2.7k	973	596	547	533	103	3.1k
Damien Coyle	2.6k 1.0×	1.1k 1.1×	432 0.7×	437 0.8×	503 0.9×	149	3.2k
Martin Bogdan	1.9k 0.7×	785 0.8×	342 0.6×	317 0.6×	352 0.7×	103	2.6k
Steven Lemm	2.8k 1.0×	934 1.0×	751 1.3×	439 0.8×	451 0.8×	11	3.1k
Carmen Vidaurre	3.7k 1.4×	1.8k 1.8×	747 1.3×	623 1.1×	939 1.8×	65	3.9k
R. Leeb	2.2k 0.8×	896 0.9×	466 0.8×	519 0.9×	355 0.7×	27	2.4k
Lukas D. J. Fiederer	2.1k 0.8×	659 0.7×	390 0.7×	427 0.8×	532 1.0×	9	2.3k
Martin Glasstetter	2.1k 0.8×	646 0.7×	393 0.7×	375 0.7×	519 1.0×	11	2.4k
Gary E. Birch	3.0k 1.1×	1.6k 1.6×	752 1.3×	637 1.2×	660 1.2×	87	3.4k
Christian Kothe	3.2k 1.2×	612 0.6×	325 0.5×	350 0.6×	237 0.4×	36	3.6k
Robin Tibor Schirrmeister	2.2k 0.8×	650 0.7×	435 0.7×	391 0.7×	538 1.0×	18	2.5k

Countries citing papers authored by Ian Daly

Since Specialization

Citations

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

Fields of papers citing papers by Ian Daly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Daly

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

All Works

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20 of 20 papers shown

Jin, Jing, Ian Daly, Shurui Li, et al.. (2024). A Growing Bubble Speller Paradigm for Brain–Computer Interface Based on Event-Related Potentials. IEEE Transactions on Biomedical Engineering. 72(3). 1188–1199. 1 indexed citations

Daly, Ian. (2023). Neural decoding of music from the EEG. Scientific Reports. 13(1). 624–624. 21 indexed citations

Wang, Zilu, Ian Daly, & Junhua Li. (2023). An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions. PubMed. 2023. 1–4. 1 indexed citations

Liu, Chang, Jing Jin, Ian Daly, et al.. (2022). SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 540–549. 62 indexed citations

Li, Shurui, Jing Jin, Ian Daly, Chang Liu, & Andrzej Cichocki. (2021). Feature selection method based on Menger curvature and LDA theory for a P300 brain–computer interface. Journal of Neural Engineering. 18(6). 66050–66050. 15 indexed citations

Jin, Jing, Hao Sun, Ian Daly, et al.. (2021). A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 20–29. 38 indexed citations

Miao, Yangyang, Jing Jin, Ian Daly, et al.. (2021). Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 699–707. 90 indexed citations

Li, Shurui, Jing Jin, Ian Daly, et al.. (2021). Enhancing P300 based character recognition performance using a combination of ensemble classifiers and a fuzzy fusion method. Journal of Neuroscience Methods. 362. 109300–109300. 4 indexed citations

Jin, Jing, et al.. (2020). Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory. IEEE Transactions on Neural Networks and Learning Systems. 32(11). 4814–4825. 216 indexed citations breakdown →

10.

Jin, Jing, Chang Liu, Ian Daly, et al.. (2020). Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(10). 2153–2163. 109 indexed citations

11.

Daly, Ian, Duncan Williams, Faustina Hwang, et al.. (2019). Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music. Scientific Reports. 9(1). 9415–9415. 50 indexed citations

12.

Yin, Erwei, Jing Jin, Rami Saab, et al.. (2018). Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks. 102. 87–95. 127 indexed citations

13.

Williams, Nitin, Ian Daly, & Slawomir J. Nasuto. (2018). Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data. Frontiers in Computational Neuroscience. 12. 76–76. 16 indexed citations

14.

Nicolaou, Nicoletta, Asad Malik, Ian Daly, et al.. (2017). Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo. Frontiers in Human Neuroscience. 11. 502–502. 15 indexed citations

15.

Daly, Ian, Brendan Z. Allison, Jing Jin, et al.. (2014). A new hybrid BCI paradigm based on P300 and SSVEP. Journal of Neuroscience Methods. 244. 16–25. 111 indexed citations

16.

Bauernfeind, Günther, Selina C. Wriessnegger, Ian Daly, & Gernot Müller-Putz. (2014). Separating heart and brain: on the reduction of physiological noise from multichannel functional near-infrared spectroscopy (fNIRS) signals. Journal of Neural Engineering. 11(5). 56010–56010. 64 indexed citations

17.

Daly, Ian, Faustina Hwang, Alexis Kirke, et al.. (2014). Automated identification of neural correlates of continuous variables. Journal of Neuroscience Methods. 242. 65–71. 3 indexed citations

18.

Daly, Ian, et al.. (2011). Low cost brain-computer interface: first results. CentAUR (University of Reading). 63(Pt 7). 546–8. 2 indexed citations

19.

Williams, Nitin, et al.. (2009). ERP classification using empirical mode decomposition. Acta Pathologica Japonica. 37(5). 843–52. 2 indexed citations

20.

Daly, Ian. (1997). Mania. The Lancet. 349(9059). 1157–1160. 15 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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