S. Faul

471 total citations
15 papers, 360 citations indexed

About

S. Faul is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Signal Processing. According to data from OpenAlex, S. Faul has authored 15 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Signal Processing. Recurrent topics in S. Faul's work include EEG and Brain-Computer Interfaces (11 papers), Neonatal and fetal brain pathology (5 papers) and Blind Source Separation Techniques (5 papers). S. Faul is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neonatal and fetal brain pathology (5 papers) and Blind Source Separation Techniques (5 papers). S. Faul collaborates with scholars based in Ireland and United States. S. Faul's co-authors include William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, Barry R. Greene, Irina Korotchikova, Robert P. McEvoy, Edward Jones, Martin Glavin, Brian McGinley and Andriy Temko and has published in prestigious journals such as Clinical Neurophysiology, IEEE Journal of Biomedical and Health Informatics and JAMIA Open.

In The Last Decade

S. Faul

15 papers receiving 350 citations

Peers

S. Faul
Comparison fields: 5 of 47
  • Cognitive Neuroscience 285
  • Signal Processing 173
  • Biomedical Engineering 81
  • Cardiology and Cardiovascular Medicine 72
  • Pediatrics, Perinatology and Child Health 72
Replace Mohammad Niknazar with:
Mohammad Niknazar Iran
Eoin Thomas Ireland
Stephen Faul Ireland
Manouchehr Javidan Canada
John V. Guttag United States
John Guttag United States
Diana Cogan United States
Dongmei Cai China
Tilmann Kluge Austria
Vangelis P. Oikonomou Greece
Mohammad Niknazar Iran View profile →
Citations per field, relative to S. Faul
S. Faul · 1×
Citations per year, relative to S. Faul
S. Faul · 1×

Countries citing papers authored by S. Faul

Since Specialization
Citations

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

Fields of papers citing papers by S. Faul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Faul

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 30
3 6
4 10
5 8
6 38
7 12
8 29
9 23
10 167
11 1
12 22
13 7
14 1
15 5

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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