Akshay Khunte

419 total citations
19 papers, 187 citations indexed

About

Akshay Khunte is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Economics and Econometrics. According to data from OpenAlex, Akshay Khunte has authored 19 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 4 papers in Emergency Medicine and 4 papers in Economics and Econometrics. Recurrent topics in Akshay Khunte's work include ECG Monitoring and Analysis (5 papers), Healthcare Policy and Management (4 papers) and Emergency and Acute Care Studies (3 papers). Akshay Khunte is often cited by papers focused on ECG Monitoring and Analysis (5 papers), Healthcare Policy and Management (4 papers) and Emergency and Acute Care Studies (3 papers). Akshay Khunte collaborates with scholars based in United States, United Kingdom and Brazil. Akshay Khunte's co-authors include Rohan Khera, Veer Sangha, Bobak J. Mortazavi, Lovedeep Singh Dhingra, Harlan M. Krumholz, Cynthia Brandt, Evangelos K. Oikonomou, Howard P. Forman, Arya Aminorroaya and Andreas Coppi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Annals of Surgery.

In The Last Decade

Akshay Khunte

16 papers receiving 182 citations

Peers

Akshay Khunte

CCM

RNMI

Usman Farooqui United Kingdom

Ashley Beecy United States

Simrat Gill United Kingdom

Otilia Țica United Kingdom

José Castela Forte Netherlands

Lovedeep Singh Dhingra United States

Trudie Lobban United Kingdom

Pradnya Brijmohan Bhattad United States

Alana Lewis United States

Jimyung Park South Korea

Usman Farooqui United Kingdom

Akshay Khunte

185 ×1.9

CCM

42 ×1.0

25 ×0.7

RNMI

61 ×2.3

31 ×1.3

Citations per year, relative to Akshay Khunte Akshay Khunte (= 1×) peers Usman Farooqui

Countries citing papers authored by Akshay Khunte

Since Specialization

Citations

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

Fields of papers citing papers by Akshay Khunte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Khunte

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

All Works

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19 of 19 papers shown

Aminorroaya, Arya, Lovedeep Singh Dhingra, Andreas Coppi, et al.. (2025). Development and multinational validation of an ensemble deep learning algorithm for detecting and predicting structural heart disease using noisy single-lead electrocardiograms. European Heart Journal - Digital Health. 6(4). 554–566. 6 indexed citations

Dhingra, Lovedeep Singh, Arya Aminorroaya, Akshay Khunte, et al.. (2025). Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms. JAMA Cardiology. 10(6). 574–574. 9 indexed citations

Sangha, Veer, Akshay Khunte, Gregory Holste, et al.. (2024). Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. Journal of the American Medical Informatics Association. 31(4). 855–865. 11 indexed citations

Khunte, Akshay, et al.. (2024). Abstract 4145357: Detecting ST Elevation Myocardial Infarction on a Noisy Single Limb-lead ECG: An Artificial Intelligence-enabled Approach Adaptable to Portable Devices. Circulation. 150(Suppl_1).

Khunte, Mihir, Huanwen Chen, Akshay Khunte, et al.. (2023). Trends in Use of Intravenous Thrombolysis and Endovascular Thrombectomy in Patients With Acute Stroke With Large Vessel Occlusion 2016 to 2020 and Impact of COVID‐19 Pandemic. Journal of the American Heart Association. 12(21). e029579–e029579. 1 indexed citations

Sangha, Veer, Arash Aghajani Nargesi, Lovedeep Singh Dhingra, et al.. (2023). Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation. 148(9). 765–777. 63 indexed citations

Khunte, Akshay, Veer Sangha, Evangelos K. Oikonomou, et al.. (2023). Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. npj Digital Medicine. 6(1). 124–124. 44 indexed citations

Khunte, Mihir, Anthony Zhong, Akshay Khunte, et al.. (2023). Industry Payments to Radiologists During the Last 5 Years and Impact of COVID-19 Pandemic. Journal of the American College of Radiology. 20(6). 597–604. 17 indexed citations

Sangha, Veer, Akshay Khunte, Lovedeep Singh Dhingra, Evangelos K. Oikonomou, & Rohan Khera. (2023). Abstract 19045: Detection of Left Ventricular Systolic Dysfunction From PDF Outputs of ECGs Obtained on Wearable Devices. Circulation. 148(Suppl_1). 1 indexed citations

10.

Dlott, Chloe C., et al.. (2023). Metrics for Monitoring Preoperative Optimization Programs for Total Joint Arthroplasty. Orthopaedic Nursing. 42(3). 158–164.

11.

Dhingra, Lovedeep Singh, Arya Aminorroaya, Akshay Khunte, et al.. (2023). Abstract 17094: An Ensemble Deep Learning Model to Automate Screening For Multiple Structural Heart Diseases on 12-Lead Electrocardiograms. Circulation. 148(Suppl_1). 1 indexed citations

12.

Khunte, Akshay, Veer Sangha, Gregory Holste, et al.. (2023). Abstract 18776: ECG-GPT: Automated Complete Diagnosis Generation From ECG Images Using Novel Vision-Text Transformer Model. Circulation. 148(Suppl_1). 2 indexed citations

13.

Sangha, Veer, et al.. (2023). SMART-AS: A NOVEL ARTIFICIAL INTELLIGENCE TOOL TO DETECT SEVERE AORTIC STENOSIS FROM ELECTROCARDIOGRAPHIC IMAGES. Journal of the American College of Cardiology. 81(8). 2409–2409. 1 indexed citations

14.

Rankin, Kelsey A., et al.. (2022). Total Joint Arthroplasty Direct-to-Consumer Advertising by Medical Device Companies Lacks Patient Diversity. Arthroplasty Today. 16. 96–100. 1 indexed citations

15.

Dlott, Chloe C., et al.. (2022). Evaluating musculoskeletal urgent care center triage and transfer of emergency conditions for emergency surgical assessment and intervention. Medicine. 101(51). e32519–e32519.

16.

Hsiang, Walter, et al.. (2022). Charges for Initial Visits for Uninsured Patients at Musculoskeletal Urgent Care Centers in the US. JAMA Network Open. 5(5). e229968–e229968. 3 indexed citations

17.

Hsiang, Walter, et al.. (2021). Musculoskeletal Urgent Care Centers Restrict Access for Patients with Medicaid Insurance Based on Policy and Location. Clinical Orthopaedics and Related Research. 479(11). 2447–2453. 8 indexed citations

18.

Khunte, Akshay, et al.. (2021). Urgent care center wait times increase for COVID-19 results in August 2020, with rapid testing availability limited. BMC Health Services Research. 21(1). 318–318. 7 indexed citations

19.

Hsiang, Walter, Daniel H. Wiznia, Akshay Khunte, et al.. (2020). Urgent Care Centers Delay Emergent Surgical Care Based on Patient Insurance Status in The United States. Annals of Surgery. 272(4). 548–553. 12 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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