Conor Heneghan

5.7k citations
114 papers · 4.2k indexed · h-index 33

Impact in

Papers in

Conor Heneghan

103 papers receiving 4.0k citations

Peers

Conor Heneghan
Comparison fields: 5 of 160
  • Cognitive Neuroscience 1.2k
  • Endocrine and Autonomic Systems 388
  • Physiology 1.1k
  • Cardiology and Cardiovascular Medicine 914
  • Experimental and Cognitive Psychology 479
Replace Roberto Hornero with:
Roberto Hornero Spain
Daniel Abásolo Spain
Yoshiharu Yamamoto Japan
Mauro Ursino Italy
Daniel Álvarez Spain
Choo Min Lim Singapore
Oliver Faust Singapore
Georg Dorffner Austria
Tapio Seppänen Finland
Chandan Karmakar Australia
Conor Heneghan relative to Roberto Hornero Spain Roberto Hornero's profile →
Citations per field
00.5×1.5×
Roberto Hornero · 1×
Citations per year

Countries citing papers authored by Conor Heneghan

Since Specialization
Citations

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

Fields of papers citing papers by Conor Heneghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Conor Heneghan, 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 Conor Heneghan Line = papers co-authored together Conor Heneghan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20242
4 20227
5 202154
6 2020140
7 201414
8 201056
9 201013
10 200956
11
Image Registration Techniques for Digital Ophthalmic Images
20070
12 20074
13 200725
14
Changes in Cardiopulmonary Coupling During Sleep Onset
20063
15 2006181
16 200419
17 2003352
18 2003220
19 200228
20 199537

About Conor Heneghan

Conor Heneghan is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine and Physiology, having authored 114 papers that have together received 4.2k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (33 papers), Non-Invasive Vital Sign Monitoring (29 papers), Heart Rate Variability and Autonomic Control (25 papers), ECG Monitoring and Analysis (16 papers), EEG and Brain-Computer Interfaces (16 papers), Neuroscience of respiration and sleep (12 papers), Advanced Wireless Communication Techniques (9 papers) and Advanced Adaptive Filtering Techniques (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Endocrine and Autonomic Systems (388 citations), Physiology (1.1k citations), Cardiology and Cardiovascular Medicine (914 citations) and Experimental and Cognitive Psychology (479 citations). Conor Heneghan has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Philip de Chazal, Stephen J. Redmond, G. McDarby, Malvin C. Teich, Mark O’Malley, Steven B. Lowen, Ciara O’Brien, Philip Nolan, Richard B. Reilly and Walter T. McNicholas. Their work appears in journals such as SLEEP, Physiological Measurement, Annals of Biomedical Engineering, Journal of Sleep Research and IEEE Transactions on Signal Processing.

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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