David Harmon

1.9k total citations · 1 hit paper
62 papers, 1.4k citations indexed

About

David Harmon is a scholar working on Cardiology and Cardiovascular Medicine, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, David Harmon has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 11 papers in Mechanics of Materials and 10 papers in Computational Mechanics. Recurrent topics in David Harmon's work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (8 papers) and ECG Monitoring and Analysis (7 papers). David Harmon is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (8 papers) and ECG Monitoring and Analysis (7 papers). David Harmon collaborates with scholars based in United States, Israel and Germany. David Harmon's co-authors include Eitan Grinspun, Michel Bercovier, Rony Goldenthal, Raanan Fattal, Denis Zorin, Rasmus Tamstorf, Paul A. Friedman, Zachi I. Attia, Etienne Vouga and Elijah R. Behr and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Communications of the ACM.

In The Last Decade

David Harmon

55 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.

Application of artificial intelligence to the electrocardiogram

2021 173 citations Zachi I. Attia, David Harmon et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Harmon United States	17	651	526	254	245	150	62	1.4k
Jérémie Allard France	12	278 0.4×	194 0.4×	24 0.1×	125 0.5×	286 1.9×	31	792
Chang Ha Lee South Korea	13	319 0.5×	268 0.5×	20 0.1×	55 0.2×	547 3.6×	36	1.1k
Morten Bro‐Nielsen Denmark	10	438 0.7×	244 0.5×	11 0.0×	147 0.6×	351 2.3×	13	971
Xiaosong Yang United Kingdom	21	259 0.4×	123 0.2×	14 0.1×	250 1.0×	582 3.9×	135	1.3k
James K. Hahn United States	22	337 0.5×	288 0.5×	11 0.0×	611 2.5×	973 6.5×	97	2.1k
Daniel Simões Lopes Portugal	18	79 0.1×	67 0.1×	42 0.2×	99 0.4×	226 1.5×	71	940
Laurent Grisoni France	10	147 0.2×	99 0.2×	18 0.1×	139 0.6×	250 1.7×	39	654
Zhigang Deng United States	17	103 0.2×	69 0.1×	34 0.1×	237 1.0×	492 3.3×	91	1.1k
C. Monserrat Spain	21	155 0.2×	60 0.1×	26 0.1×	46 0.2×	315 2.1×	71	1.3k
Min Hong South Korea	15	116 0.2×	83 0.2×	78 0.3×	53 0.2×	214 1.4×	107	1.0k

Countries citing papers authored by David Harmon

Since Specialization

Citations

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

Fields of papers citing papers by David Harmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of David Harmon. A scholar is included among the top collaborators of David Harmon 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 David Harmon. David Harmon 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

Harmon, David, et al.. (2025). Valvular Heart Disease and Its Association With Death in Advanced Heart Failure. Journal of the American Heart Association. 14(21). e042875–e042875.

Harmon, David, José R. Medina‐Inojosa, Rickey E. Carter, et al.. (2025). Testing the real-world utility of Bayes theorem in artificial intelligence-enabled electrocardiogram algorithm for the detection of left ventricular systolic dysfunction. Intelligence-Based Medicine. 11. 100238–100238.

Harmon, David, John Dillon, Rickey E. Carter, et al.. (2024). Mortality Risk Stratification Utilizing Artificial Intelligence Electrocardiogram for Hyperkalemia in Cardiac Intensive Care Unit Patients. JACC Advances. 3(9). 101169–101169. 4 indexed citations

Wysokiński, Waldemar E., Ryan A. Meverden, Francisco López-Jiménez, et al.. (2024). Electrocardiogram Signal Analysis With a Machine Learning Model Predicts the Presence of Pulmonary Embolism With Accuracy Dependent on Embolism Burden. SHILAP Revista de lepidopterología. 2(3). 453–462. 4 indexed citations

Harmon, David, et al.. (2023). 44-Year-Old Woman With Cough and Shortness of Breath. Mayo Clinic Proceedings. 98(10). 1557–1563.

Harmon, David, Robert C. Ward, & Abhishek Deshmukh. (2023). Dual Atrioventricular Nodal Non–Re-Entrant Tachycardia. JACC Case Reports. 15. 101866–101866.

Harmon, David, Christopher G. Scott, Dennis H. Murphree, et al.. (2023). Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis. JACC Advances. 2(8). 100612–100612. 18 indexed citations

Harmon, David, et al.. (2023). Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation. Arrhythmia & Electrophysiology Review. 12. e12–e12. 25 indexed citations

Harmon, David, Paul A. Friedman, & Francisco López-Jiménez. (2023). Evolution of Multiple Medical Pathologies Through the Lens of Artificial Intelligence-Enhanced Electrocardiogram. SHILAP Revista de lepidopterología. 1(2). 75–76.

10.

Harmon, David, et al.. (2023). Dramatic elevation of LDL cholesterol from ketogenic-dieting: A Case Series. SHILAP Revista de lepidopterología. 14. 100495–100495. 9 indexed citations

11.

Harmon, David, et al.. (2023). Survey of Vaccine Hesitancy in Patients Visiting Three Tertiarycare Emergency Departments in Southeast Louisiana. Western Journal of Emergency Medicine. 24(6). 1073–1084. 1 indexed citations

12.

Carter, Rickey E., Vidhu Anand, David Harmon, & Patricia A. Pellikka. (2022). Model drift: When it can be a sign of success and when it can be an occult problem. Intelligence-Based Medicine. 6. 100058–100058. 9 indexed citations

13.

Attia, Zachi I., David Harmon, Jennifer Dugan, et al.. (2022). Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction. Nature Medicine. 28(12). 2497–2503. 75 indexed citations

14.

Harmon, David, Rickey E. Carter, Anna Svatikova, et al.. (2022). Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction. European Heart Journal - Digital Health. 3(2). 238–244. 19 indexed citations

15.

Harmon, David, Demilade Adedinsewo, Matthew Johnson, et al.. (2022). Community-based participatory research application of an artificial intelligence-enhanced electrocardiogram for cardiovascular disease screening: A FAITH! Trial ancillary study. SHILAP Revista de lepidopterología. 12. 100431–100431. 10 indexed citations

16.

Harmon, David, Daniel R. Witt, Paul A. Friedman, & Zachi I. Attia. (2021). Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence–enhanced electrocardiogram. SHILAP Revista de lepidopterología. 2(5). 282–284. 5 indexed citations

17.

Harmon, David, Sean R. Regner, Babikir Kheiri, et al.. (2020). Dramatic LDL-Cholesterol elevation with Ketogenic Diet: A Case Series. SHILAP Revista de lepidopterología. 3. 100053–100053. 1 indexed citations

18.

Harmon, David, et al.. (2017). Malignant Thymoma with Metastasis Associated with Paraneoplastic Myasthenia Gravis. Baylor University Medical Center Proceedings. 30(3). 330–332. 3 indexed citations

19.

Goldenthal, Rony, David Harmon, Raanan Fattal, Michel Bercovier, & Eitan Grinspun. (2007). Efficient simulation of inextensible cloth. ACM Transactions on Graphics. 26(3). 49–49. 177 indexed citations

20.

Thompson, Robert G., David Harmon, & Jen Yü. (1984). Detour problem-solving behavior in rats with early lesions to the “general learning system”. Physiological Psychology. 12(3). 193–203. 13 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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