Matthew A. Reyna

17.5k total citations · 2 hit papers
30 papers, 1.3k citations indexed

About

Matthew A. Reyna is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Matthew A. Reyna has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Matthew A. Reyna's work include ECG Monitoring and Analysis (11 papers), Phonocardiography and Auscultation Techniques (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Matthew A. Reyna is often cited by papers focused on ECG Monitoring and Analysis (11 papers), Phonocardiography and Auscultation Techniques (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Matthew A. Reyna collaborates with scholars based in United States, Spain and China. Matthew A. Reyna's co-authors include Gari D. Clifford, Ashish Sharma, Shamim Nemati, Supreeth P. Shashikumar, Ali Bahrami Rad, Andoni Elola, Erick Andres Perez Alday, Salman Seyedi, Annie Gu and Benjamin J. Raphael and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Matthew A. Reyna

28 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

2020 294 citations Erick Andres Perez Alday, Annie Gu et al. Physiological Measurement profile →
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

2021 131 citations Matthew A. Reyna, Nadi Sadr et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew A. Reyna United States	14	530	355	312	267	230	30	1.3k
M. Muthu Rama Krishnan India	20	202 0.4×	463 1.3×	138 0.4×	134 0.5×	63 0.3×	26	1.1k
Dongdong Zhang China	16	242 0.5×	219 0.6×	70 0.2×	49 0.2×	86 0.4×	60	936
Alain Giron France	18	285 0.5×	80 0.2×	142 0.5×	153 0.6×	389 1.7×	60	1.3k
Larissa Stanberry United States	18	329 0.6×	72 0.2×	116 0.4×	200 0.7×	309 1.3×	98	1.3k
Christian W. Hesse United Kingdom	13	431 0.8×	52 0.1×	394 1.3×	222 0.8×	39 0.2×	31	1.1k
Kostas Haris Greece	9	205 0.4×	108 0.3×	118 0.4×	77 0.3×	30 0.1×	28	1.0k
Guillermo J. Ortega Spain	21	85 0.2×	60 0.2×	348 1.1×	68 0.3×	231 1.0×	142	1.4k
Kentaro Minami Japan	15	1.5k 2.7×	34 0.1×	269 0.9×	77 0.3×	89 0.4×	73	1.7k
G. Valli Italy	15	231 0.4×	244 0.7×	114 0.4×	176 0.7×	54 0.2×	41	928
M. Pantziaris Cyprus	21	692 1.3×	150 0.4×	24 0.1×	704 2.6×	43 0.2×	57	1.7k

Countries citing papers authored by Matthew A. Reyna

Since Specialization

Citations

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

Fields of papers citing papers by Matthew A. Reyna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Reyna. 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 Matthew A. Reyna. The network helps show where Matthew A. Reyna may publish in the future.

Co-authorship network of co-authors of Matthew A. Reyna

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

All Works

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20 of 20 papers shown

Fang, Junnan, Dattatraya Patil, Kenneth Ogan, et al.. (2024). A missense SNP in the tumor suppressor SETD2 reduces H3K36me3 and mitotic spindle integrity in Drosophila. Genetics. 226(4). 1 indexed citations

Clifford, Gari D., et al.. (2024). ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization. Physiological Measurement. 45(5). 55019–55019. 6 indexed citations

Reyna, Matthew A., Salman Seyedi, Andoni Elola, et al.. (2024). Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024. Computing in cardiology. 51.

Reyna, Matthew A., et al.. (2024). A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias. Sensors. 24(6). 1730–1730. 3 indexed citations

Kiarashi, Yashar, et al.. (2024). Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. IEEE Journal of Biomedical and Health Informatics. 28(11). 6886–6896. 3 indexed citations

Rad, Ali Bahrami, Matthew A. Reyna, Reza Sameni, et al.. (2024). From sleep patterns to heart rhythm: Predicting atrial fibrillation from overnight polysomnograms. Journal of Electrocardiology. 86. 153759–153759. 2 indexed citations

Reyna, Matthew A., Edilberto Amorim, Reza Sameni, et al.. (2023). Predicting Neurological Recovery from Coma after Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. Computing in cardiology. 50. 4 indexed citations

Elola, Andoni, Elisabete Aramendi, Jorge Oliveira, et al.. (2023). Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. IEEE Journal of Biomedical and Health Informatics. 27(8). 3856–3866. 13 indexed citations

Kramer, Michael R., et al.. (2023). Combining crowd-sourcing, census data, and public review forums for real-time, high-resolution food desert estimation. BioMedical Engineering OnLine. 22(1). 69–69.

10.

Plešinger, Filip, et al.. (2022). Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning. Physiological Measurement. 43(7). 74001–74001. 7 indexed citations

11.

Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2022). Issues in the automated classification of multilead ecgs using heterogeneous labels and populations. Physiological Measurement. 43(8). 84001–84001. 26 indexed citations

12.

Alday, Erick Andres Perez, Ali Bahrami Rad, Matthew A. Reyna, et al.. (2022). Age, sex and race bias in automated arrhythmia detectors. Journal of Electrocardiology. 74. 5–9. 7 indexed citations

13.

Wong, An-Kwok Ian, Rishikesan Kamaleswaran, Azade Tabaie, et al.. (2021). Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data. Critical Care Explorations. 3(5). e0402–e0402. 7 indexed citations

14.

Reyna, Matthew A., et al.. (2021). NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks. Journal of Computational Biology. 28(5). 469–484. 7 indexed citations

15.

Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2021). Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. 1–4. 131 indexed citations breakdown →

16.

Alday, Erick Andres Perez, Annie Gu, Amit Shah, et al.. (2020). Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiological Measurement. 41(12). 124003–124003. 294 indexed citations breakdown →

17.

He, Meng Xiao, Matthew A. Reyna, Alexander Gusev, et al.. (2020). Germline Features Associated with Immune Infiltration in Solid Tumors. Cell Reports. 30(9). 2900–2908.e4. 27 indexed citations

18.

Reyna, Matthew A., Supreeth P. Shashikumar, Benjamin Moody, et al.. (2019). Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019. Computing in cardiology. 45. 105 indexed citations

19.

Reyna, Matthew A., Salman Seyedi, Russell Jeter, et al.. (2019). Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. Computing in Cardiology Conference. 1–4. 31 indexed citations

20.

Rieder, Leila E., Yiannis A. Savva, Matthew A. Reyna, et al.. (2015). Dynamic response of RNA editing to temperature in Drosophila. BMC Biology. 13(1). 1–1. 177 indexed citations

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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