Bryan Conroy

1.9k citations
28 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

Bryan Conroy

25 papers receiving 1.3k citations

Bryan Conroy's Hit Papers

Ensemble of Feature:based and Deep learning:based Classifiers for Detection of Abnormal Heart Sounds 2016 · 232 citations
2320+3+6Years since publication50100150200

Peers

Bryan Conroy
Comparison fields: 5 of 99
  • Cognitive Neuroscience 784
  • Cardiology and Cardiovascular Medicine 261
  • Radiology, Nuclear Medicine and Imaging 229
  • Health Informatics 11
  • Signal Processing 93
Replace Do‐Un Jeong with:
Do‐Un Jeong South Korea
Saurabh Pal India
Syed Anas Imtiaz United Kingdom
Viswam Nathan United States
Sebastian Zaunseder Germany
Mahmoud Hassan France
Palani Thanaraj Krishnan India
Delaram Jarchi United Kingdom
Ahmad Shalbaf Iran
Samit Kumar Ghosh India
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Countries citing papers authored by Bryan Conroy

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Conroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011446
2
Ensemble of Feature:based and Deep learning:based Classifiers for Detection of Abnormal Heart Sounds
Hit paper breakdown →
2016232
3 2009130
4 201380
5 201874
6 201850
7 201744
8 201538
9 202237
10
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity.
200934
11 201723
12 202120
13
Fast, Exact Model Selection and Permutation Testing for ℓ2-Regularized Logistic Regression.
201219
14 201717
15
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
201213
16 201312
17 20237
18
Function-based Intersubject Alignment of Human Cortical Anatomy
20097
19 20102
20 20242

About Bryan Conroy

Bryan Conroy is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (4 papers), Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers), Heart Rate Variability and Autonomic Control (3 papers), ECG Monitoring and Analysis (3 papers), Visual perception and processing mechanisms (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (784 citations), Cardiology and Cardiovascular Medicine (261 citations), Radiology, Nuclear Medicine and Imaging (229 citations), Health Informatics (11 citations) and Signal Processing (93 citations). Bryan Conroy has collaborated with scholars based in United States, Finland and Italy. Frequent co-authors include Peter J. Ramadge, James V. Haxby, Saman Parvaneh, Asif Rahman, J. Swaroop Guntupalli, Cristhian Potes, Yaroslav O. Halchenko, M. Ida Gobbini, Michael Hanke and Andrew C. Connolly. Their work appears in journals such as Scientific Reports, NeuroImage, Critical Care, Machine Learning and PLoS ONE.

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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