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

Correlation-based channel selection and regularized featu... 2019 2026 2021 2023 2019 2020 50 100 150 200 250

Peers

Ian Daly
Comparison fields: 5 of 115
  • Cognitive Neuroscience 2.7k
  • Cellular and Molecular Neuroscience 973
  • Signal Processing 596
  • Human-Computer Interaction 547
  • Electrical and Electronic Engineering 533
Replace Damien Coyle with:
Damien Coyle United Kingdom
Martin Bogdan Germany
Steven Lemm Germany
Carmen Vidaurre Germany
R. Leeb Switzerland
Lukas D. J. Fiederer Germany
Martin Glasstetter Germany
Christian Kothe United States
Robin Tibor Schirrmeister Germany
Zheng Yang Chin Singapore
Damien Coyle United Kingdom View profile →
Citations per field, relative to Ian Daly
Ian Daly · 1×
Citations per year, relative to Ian Daly
Ian Daly · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 3
5 62
6 90
7 15
8 38
9 4
10
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory breakdown →
216
11 109
12 2
13 50
14 127
15 16
16 15
17 111
18 36
19 2
20 2

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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