Orla Doyle

2.7k citations
42 papers · 1.4k indexed · h-index 18

Impact in

Papers in

Orla Doyle

41 papers receiving 1.4k citations

Peers

Orla Doyle
Comparison fields: 5 of 146
  • Health Informatics 31
  • Cognitive Neuroscience 437
  • Biological Psychiatry 49
  • Experimental and Cognitive Psychology 155
  • Health Information Management 49
Replace Miguel Ángel Mañanas with:
Miguel Ángel Mañanas Spain
Luca Mainardi Italy
Do‐Un Jeong South Korea
Theodoros P. Zanos United States
N. Kannathal Singapore
Guangyu Zhou United States
Kilian M. Pohl United States
Fengyu Cong China
Mohamed Elgendi Canada
Boris A. Gutman United States
Orla Doyle relative to Miguel Ángel Mañanas Spain Miguel Ángel Mañanas's profile →
Citations per field
00.5×4.5×
Miguel Ángel Mañanas · 1×
Citations per year

Countries citing papers authored by Orla Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Orla Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Orla Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Orla Doyle Line = papers co-authored together Orla Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20238
3 202110
4 202025
5 201939
6 201713
7 2016122
8 201526
9 201548
10 201535
11 201438
12 20146
13 2014139
14 201385
15 20109
16 201011
17 200939
18
EMBC 2008 : Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society :
20085
19 200710
20
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
2007236

About Orla Doyle

Orla Doyle is a scholar working on Cognitive Neuroscience, Health Information Management, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), EEG and Brain-Computer Interfaces (7 papers), Neonatal and fetal brain pathology (5 papers), Artificial Intelligence in Healthcare (3 papers), Neural dynamics and brain function (3 papers), Computational Drug Discovery Methods (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (31 citations), Cognitive Neuroscience (437 citations), Biological Psychiatry (49 citations), Experimental and Cognitive Psychology (155 citations) and Health Information Management (49 citations). Orla Doyle has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Geraldine B. Boylan, Gordon Lightbody, William P. Marnane, Steven Williams, Andriy Temko, Brian Greene, Mitul A. Mehta, Michael Brammer, Fernando Zelaya and Adam J. Schwarz. Their work appears in journals such as Psychopharmacology, Scientific Reports, NeuroImage, PLoS ONE and Biological Psychiatry.

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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