Alexander Valys

602 total citations · 1 hit paper
6 papers, 394 citations indexed

About

Alexander Valys is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Mechanics of Materials. According to data from OpenAlex, Alexander Valys has authored 6 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Mechanics of Materials. Recurrent topics in Alexander Valys's work include ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Potassium and Related Disorders (2 papers). Alexander Valys is often cited by papers focused on ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Potassium and Related Disorders (2 papers). Alexander Valys collaborates with scholars based in United States. Alexander Valys's co-authors include D.J. Albert, Rod Passman, Jeremiah Wasserlauf, Ruchi Patel, Conner Galloway, Paul A. Friedman, Zachi I. Attia, Jacqueline Baras Shreibati, John Dillon and Samuel J. Asirvatham and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Physics of Plasmas.

In The Last Decade

Alexander Valys

6 papers receiving 389 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.

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

2019 209 citations Conner Galloway, Alexander Valys et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Valys United States	4	300	69	66	44	36	6	394
Conner Galloway United States	5	245 0.8×	67 1.0×	46 0.7×	41 0.9×	35 1.0×	9	321
Jennifer Dugan United States	8	283 0.9×	79 1.1×	43 0.7×	52 1.2×	46 1.3×	14	361
Zeineb Bouzid United States	6	255 0.8×	36 0.5×	43 0.7×	52 1.2×	78 2.2×	14	368
Ziad Faramand United States	10	307 1.0×	44 0.6×	29 0.4×	54 1.2×	103 2.9×	24	433
Joon-myoung Kwon South Korea	5	232 0.8×	60 0.9×	22 0.3×	32 0.7×	42 1.2×	6	296
Rutger R van de Leur Netherlands	10	214 0.7×	25 0.4×	24 0.4×	20 0.5×	28 0.8×	24	269
Veer Sangha United States	10	204 0.7×	41 0.6×	20 0.3×	62 1.4×	48 1.3×	23	310
Stephanie Helman United States	6	117 0.4×	26 0.4×	18 0.3×	41 0.9×	43 1.2×	18	242
Irena Andršová Czechia	11	213 0.7×	32 0.5×	20 0.3×	40 0.9×	54 1.5×	27	305
Hisaki Makimoto Germany	18	1.1k 3.6×	75 1.1×	42 0.6×	16 0.4×	56 1.6×	73	1.2k

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-authorship network of co-authors of Alexander Valys

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

All Works

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6 of 6 papers shown

1.

Thomas, Cliff, M. Tabak, N. Alexander, et al.. (2024). Hybrid direct drive with a two-sided ultraviolet laser. Physics of Plasmas. 31(11). 3 indexed citations

2.

Shreibati, Jacqueline Baras, Conner Galloway, Alexander Valys, et al.. (2019). PREDICTION OF THE HEART RATE CORRECTED QT INTERVAL (QTC) FROM A NOVEL, MULTILEAD SMARTPHONE-ENABLED ECG USING A DEEP NEURAL NETWORK. Journal of the American College of Cardiology. 73(9). 368–368. 6 indexed citations

3.

Galloway, Conner, et al.. (2019). 5105A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device. European Heart Journal. 40(Supplement_1). 3 indexed citations

4.

Galloway, Conner, Alexander Valys, Jacqueline Baras Shreibati, et al.. (2019). Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram. JAMA Cardiology. 4(5). 428–428. 209 indexed citations breakdown →

5.

Wasserlauf, Jeremiah, et al.. (2019). Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 12(6). e006834–e006834. 159 indexed citations

6.

Galloway, Conner, Alexander Valys, D.J. Albert, et al.. (2018). NON-INVASIVE DETECTION OF HYPERKALEMIA WITH A SMARTPHONE ELECTROCARDIOGRAM AND ARTIFICIAL INTELLIGENCE. Journal of the American College of Cardiology. 71(11). A272–A272. 14 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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