Conner Galloway

502 total citations · 1 hit paper
9 papers, 321 citations indexed

About

Conner Galloway is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and General Health Professions. According to data from OpenAlex, Conner Galloway has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pulmonary and Respiratory Medicine and 1 paper in General Health Professions. Recurrent topics in Conner Galloway's work include ECG Monitoring and Analysis (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Potassium and Related Disorders (2 papers). Conner Galloway is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Potassium and Related Disorders (2 papers). Conner Galloway collaborates with scholars based in United States, New Zealand and Spain. Conner Galloway's co-authors include Zachi I. Attia, Paul A. Friedman, D.J. Albert, Peter A. Noseworthy, Jacqueline Baras Shreibati, Michael J. Ackerman, Rickey E. Carter, Alexander Valys, John Dillon and Samuel J. Asirvatham and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Conner Galloway

7 papers receiving 316 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
Conner Galloway United States	5	245	67	46	41	39	9	321
Alexander Valys United States	4	300 1.2×	69 1.0×	66 1.4×	44 1.1×	33 0.8×	6	394
Jennifer Dugan United States	8	283 1.2×	79 1.2×	43 0.9×	52 1.3×	24 0.6×	14	361
Zeineb Bouzid United States	6	255 1.0×	36 0.5×	43 0.9×	52 1.3×	43 1.1×	14	368
Michal Cohen‐Shelly United States	7	267 1.1×	50 0.7×	31 0.7×	52 1.3×	23 0.6×	14	354
Radiyati Umi Partan Indonesia	9	179 0.7×	53 0.8×	49 1.1×	19 0.5×	31 0.8×	35	334
Joon-myoung Kwon South Korea	5	232 0.9×	60 0.9×	22 0.5×	32 0.8×	42 1.1×	6	296
Veer Sangha United States	10	204 0.8×	41 0.6×	20 0.4×	62 1.5×	39 1.0×	23	310
Rutger R van de Leur Netherlands	10	214 0.9×	25 0.4×	24 0.5×	20 0.5×	42 1.1×	24	269
Min Jeong Kim South Korea	9	234 1.0×	47 0.7×	35 0.8×	36 0.9×	53 1.4×	27	460
Fayzan Chaudhry United States	8	147 0.6×	27 0.4×	47 1.0×	15 0.4×	31 0.8×	10	280

Countries citing papers authored by Conner Galloway

Since Specialization

Citations

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

Fields of papers citing papers by Conner Galloway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conner Galloway

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

All Works

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9 of 9 papers shown

1.

Ogando, F., M. Tobin, W.R. Meier, et al.. (2024). Preliminary nuclear analysis of HYLIFE-III: A thick-liquid-wall chamber for inertial fusion energy. Fusion Engineering and Design. 202. 114333–114333. 3 indexed citations

2.

Galloway, Conner & Bedros Afeyan. (2023). Staged, Nonlinear Optical, Beam-Combining: Key Ingredients in New Excimer Laser System for Inertial Fusion Energy (IFE). M4A.6–M4A.6.

3.

Giudicessi, John R., J. Martijn Bos, Conner Galloway, et al.. (2021). Artificial Intelligence–Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device. Circulation. 143(13). 1274–1286. 74 indexed citations

4.

Rad, Ali Bahrami, Conner Galloway, Joel Xue, et al.. (2021). Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach. PLoS ONE. 16(11). e0259916–e0259916. 12 indexed citations

5.

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

6.

Almeida, S, Eli S. Gang, Conner Galloway, Matthew J. Budoff, & Ronald P. Karlsberg. (2019). SMARTPHONE WIRELESS EKG CLOUD-BASED MANAGEMENT SYSTEM: FIRST REAL WORLD OUTPATIENT CARDIOLOGY EXPERIENCE. Journal of the American College of Cardiology. 73(9). 342–342.

7.

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

8.

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 →

9.

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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