Alexander Valys

611 citations
6 papers · 405 · 1 hit paper · h-index 5

Impact in

    • Artificial Intelligence in Healthcare and Education
    • ECG Monitoring and Analysis
    • Atrial Fibrillation Management and Outcomes
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments
    • Cardiac pacing and defibrillation studies

Papers in

Alexander Valys

6 papers receiving 399 citations

Alexander Valys's Hit Papers

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram 2019 · 214 citations
2140+2+4Years since publication50100150200

Peers

Alexander Valys
Comparison fields: 5 of 57
  • Health Informatics 41
  • Cardiology and Cardiovascular Medicine 250
  • Health Information Management 26
  • Pulmonary and Respiratory Medicine 58
  • Nephrology 10
Replace Conner Galloway with:
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Joon-myoung Kwon South Korea
Soo Bin Yoon South Korea
Dung‐Jang Tsai Taiwan
Alexander Valys relative to Conner Galloway United States Conner Galloway's profile →
Citations per field
00.5×1.5×1.8×
Conner Galloway · 1×
Citations per year

Countries citing papers authored by Alexander Valys

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Valys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Alexander Valys, 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 Alexander Valys Line = papers co-authored together Alexander Valys links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram
Hit paper breakdown →
2019214
2 2019163
3 201814
4 20196
5 20245
6 20193

About Alexander Valys

Alexander Valys is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics, having authored 6 papers that have together received 405 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Potassium and Related Disorders (2 papers), Laser-induced spectroscopy and plasma (1 paper), Laser-Matter Interactions and Applications (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Laser-Plasma Interactions and Diagnostics (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Health Informatics (41 citations), Cardiology and Cardiovascular Medicine (250 citations), Health Information Management (26 citations), Pulmonary and Respiratory Medicine (58 citations) and Nephrology (10 citations). Alexander Valys has collaborated with scholars based in United States. Frequent co-authors include D.J. Albert, Jeremiah Wasserlauf, Rod Passman, Ruchi Patel, Conner Galloway, John Dillon, Zachi I. Attia, Paul A. Friedman, Peter A. Noseworthy and Jacqueline Baras Shreibati. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal, Physics of Plasmas, Circulation Arrhythmia and Electrophysiology and JAMA Cardiology.

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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