Stephen Faul

629 total citations
12 papers, 493 citations indexed

About

Stephen Faul is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Stephen Faul has authored 12 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Stephen Faul's work include EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (4 papers) and ECG Monitoring and Analysis (2 papers). Stephen Faul is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (4 papers) and ECG Monitoring and Analysis (2 papers). Stephen Faul collaborates with scholars based in Ireland, Austria and Italy. Stephen Faul's co-authors include William P. Marnane, Emanuel Popovici, Stevan Marinkovic, Christian Spagnol, Geraldine B. Boylan, Gordon Lightbody, Seán Connolly, Chris J. Bleakley, Gregor Gregorčič and Niall Twomey and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Stephen Faul

12 papers receiving 472 citations

Peers

Stephen Faul
Comparison fields: 5 of 56
  • Biomedical Engineering 241
  • Cognitive Neuroscience 220
  • Computer Networks and Communications 174
  • Signal Processing 97
  • Electrical and Electronic Engineering 89
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Mingui Sun United States
Aydin Farajidavar United States
Manuel Gil-Martín Spain
Guanghai Dai China
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John Guttag United States
John V. Guttag United States
S. Faul Ireland
Mingui Sun United States View profile →
Citations per field, relative to Stephen Faul
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Citations per year, relative to Stephen Faul
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Countries citing papers authored by Stephen Faul

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Faul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Faul

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 23
2 57
3 6
4 2
5 7
6 17
7 207
8 1
9 43
10 51
11
Gaussian process modelling as an indicator of neonatal seizure
2
12 77

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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