Robert Avram

2.8k total citations · 1 hit paper
60 papers, 1.5k citations indexed

About

Robert Avram is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert Avram has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 20 papers in Surgery and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert Avram's work include Coronary Interventions and Diagnostics (11 papers), ECG Monitoring and Analysis (11 papers) and Cardiac Imaging and Diagnostics (9 papers). Robert Avram is often cited by papers focused on Coronary Interventions and Diagnostics (11 papers), ECG Monitoring and Analysis (11 papers) and Cardiac Imaging and Diagnostics (9 papers). Robert Avram collaborates with scholars based in Canada, United States and France. Robert Avram's co-authors include Jeffrey E. Olgin, Geoffrey H. Tison, Gregory M. Marcus, Mark J. Pletcher, Peter Kuhar, Sean Abreau, Kirstin Aschbacher, J. Weston Hughes, Massimo Massetti and Eric Vittinghoff and has published in prestigious journals such as Nature Medicine, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Robert Avram

57 papers receiving 1.4k 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.

Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study

2020 550 citations Geoffrey H. Tison, Robert Avram et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Avram Canada	16	517	299	254	248	235	60	1.5k
José R. Medina‐Inojosa United States	29	2.1k 4.0×	434 1.5×	144 0.6×	119 0.5×	486 2.1×	122	3.2k
Salah S. Al‐Zaiti United States	19	841 1.6×	97 0.3×	98 0.4×	126 0.5×	108 0.5×	92	1.5k
Helmi Ben Saad Tunisia	24	196 0.4×	888 3.0×	170 0.7×	66 0.3×	122 0.5×	259	2.7k
Federico Semeraro Italy	26	187 0.4×	280 0.9×	66 0.3×	306 1.2×	309 1.3×	100	2.1k
Elaine Miller United States	22	486 0.9×	288 1.0×	240 0.9×	103 0.4×	194 0.8×	73	3.7k
Roger D. Dias United States	19	291 0.6×	160 0.5×	32 0.1×	119 0.5×	353 1.5×	84	1.0k
Kathleen T. Hickey United States	25	771 1.5×	76 0.3×	64 0.3×	222 0.9×	275 1.2×	93	2.1k
Ann Sofia Skou Thomsen Denmark	19	162 0.3×	249 0.8×	70 0.3×	176 0.7×	696 3.0×	35	1.9k
Silvia Gianola Italy	26	90 0.2×	143 0.5×	115 0.5×	115 0.5×	343 1.5×	101	2.1k
Jeffrey W. Christle United States	16	922 1.8×	329 1.1×	54 0.2×	356 1.4×	151 0.6×	62	2.0k

Countries citing papers authored by Robert Avram

Since Specialization

Citations

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

Fields of papers citing papers by Robert Avram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Avram

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

Olgin, Jeffrey E., et al.. (2026). Multiview deep learning improves detection of major cardiac conditions from echocardiography. Nature Cardiovascular Research. 5(3). 234–245.

Trifan, Anca, Derek So, Jean‐François Tanguay, et al.. (2025). Tailored hydration for the prevention of contrast-induced acute kidney injury after coronary angiogram or PCI: A systematic review and meta-analysis. American Heart Journal. 282. 93–102. 1 indexed citations

Avram, Robert, et al.. (2025). Adjustment of Antiplatelet Therapy in Patients With Myocardial Infarction Treated Without Revascularization: A Retrospective Cohort Study. CJC Open. 7(7). 913–920.

Tastet, Olivier, Ahmad Hayek, Jean‐Claude Tardif, et al.. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. npj Digital Medicine. 7(1). 138–138. 10 indexed citations

Thériault-Lauzier, Pascal, Olivier Tastet, Bahareh Taji, et al.. (2024). A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform. Canadian Journal of Cardiology. 40(10). 1828–1840. 17 indexed citations

Avram, Robert, et al.. (2024). Enhancing chest X-ray diagnosis with text-to-image generation: A data augmentation case study. Displays. 83. 102735–102735. 1 indexed citations

Chung, Peter W., et al.. (2023). Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study. Journal of Cardiovascular Translational Research. 16(3). 541–545. 5 indexed citations

Chaudhari, Gunvant, Joshua Barrios, Sean Abreau, et al.. (2023). Deep learning augmented ECG analysis to identify biomarker-defined myocardial injury. Scientific Reports. 13(1). 3364–3364. 7 indexed citations

So, Derek, Akshay Bagai, Sean van Diepen, et al.. (2022). A Pan-Canadian Survey of Cardiogenic Shock Management: A Report From the Canadian Cardiovascular Research Collaboratory (C3) Cardiogenic Shock Working Group. Canadian Journal of Cardiology. 38(11). 1732–1735. 3 indexed citations

10.

Zhang, Guang, et al.. (2022). Voice-Based Screening for SARS-CoV-2 Exposure in Cardiovascular Clinics (VOICE-COVID-19-II): Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 12. e41209–e41209. 3 indexed citations

11.

Anchouche, Khalil, Malik Elharram, Robert Avram, et al.. (2021). Use of Actigraphy (Wearable Digital Sensors to Monitor Activity) in Heart Failure Randomized Clinical Trials: A Scoping Review. Canadian Journal of Cardiology. 37(9). 1438–1449. 20 indexed citations

12.

Ali, Walid Ben, Robert Avram, Pavel Overtchouk, et al.. (2021). Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble. Frontiers in Cardiovascular Medicine. 8. 711401–711401. 26 indexed citations

13.

Marcus, Gregory M., Jeffrey E. Olgin, Noah D. Peyser, et al.. (2021). Predictors of incident viral symptoms ascertained in the era of COVID-19. PLoS ONE. 16(6). e0253120–e0253120. 5 indexed citations

14.

Gouda, Pishoy, Peter Chung, Varinder K. Randhawa, et al.. (2021). Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports. 15(8). 13–13. 11 indexed citations

15.

Lin, Anthony, Eric Vittinghoff, Jeffrey E. Olgin, et al.. (2021). Predictors of incident SARS-CoV-2 infections in an international prospective cohort study. BMJ Open. 11(9). e052025–e052025. 6 indexed citations

16.

Thériault-Lauzier, Pascal, Robert Avram, Damini Dey, et al.. (2021). The Evolving Role of Artificial Intelligence in Cardiac Image Analysis. Canadian Journal of Cardiology. 38(2). 214–224. 7 indexed citations

17.

Infeld, Margaret, Robert Avram, Daniel N. Silverman, et al.. (2020). An approach towards individualized lower rate settings for pacemakers. Heart Rhythm O2. 1(5). 390–393. 11 indexed citations

18.

Picard, Fabien, Robert Avram, Guillaume Marquis‐Gravel, et al.. (2018). Clinical outcomes of bioresorbable vascular scaffold to treat all-comer patients. Are patients with acute coronary syndrome better candidates for bioresorbable vascular scaffold?. Cardiovascular revascularization medicine. 20(3). 228–234. 2 indexed citations

19.

Marquis‐Gravel, Guillaume, Robert Avram, Maxime Tremblay‐Gravel, et al.. (2017). Collectively Operated Fellow-Initiated Research as a Novel Teaching Model to Bolster Interest and Increase Proficiency in Academic Research. Canadian Journal of Cardiology. 33(5). 685–687. 2 indexed citations

20.

Tremblay‐Gravel, Maxime, et al.. (2015). The Medical Treatment of New-Onset Peripartum Cardiomyopathy: A Systematic Review of Prospective Studies. Canadian Journal of Cardiology. 31(12). 1421–1426. 18 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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