Mitchel Benovoy

3.2k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Mitchel Benovoy is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mitchel Benovoy has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mitchel Benovoy's work include Cardiac Imaging and Diagnostics (19 papers), Advanced MRI Techniques and Applications (14 papers) and Medical Imaging Techniques and Applications (5 papers). Mitchel Benovoy is often cited by papers focused on Cardiac Imaging and Diagnostics (19 papers), Advanced MRI Techniques and Applications (14 papers) and Medical Imaging Techniques and Applications (5 papers). Mitchel Benovoy collaborates with scholars based in Canada, United States and United Kingdom. Mitchel Benovoy's co-authors include Robert J. Zatorre, Valorie N. Salimpoor, Alain Dagher, Kevin Larcher, Jeremy R. Cooperstock, Andrew E. Arai, Li‐Yueh Hsu, Ernest Mas‐Herrero, Benjamin P. Gold and Yashar Zeighami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Mitchel Benovoy

28 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Anatomically distinct dopamine release during anticipation and experience of peak emotion to music

2011 1.1k citations Valorie N. Salimpoor, Mitchel Benovoy et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchel Benovoy Canada	10	1.3k	806	449	310	194	33	1.8k
Sebastian Jentschke Germany	23	1.4k 1.1×	353 0.4×	441 1.0×	264 0.9×	129 0.7×	37	1.8k
Teppo Särkämö Finland	27	2.0k 1.5×	1.6k 2.0×	310 0.7×	420 1.4×	67 0.3×	80	2.8k
Karen Johanne Pallesen Denmark	14	1.0k 0.8×	338 0.4×	488 1.1×	212 0.7×	77 0.4×	23	1.6k
Karsten Müller Germany	16	1.2k 0.9×	212 0.3×	367 0.8×	26 0.1×	117 0.6×	31	1.8k
Hervé Platel France	21	1.3k 1.0×	541 0.7×	253 0.6×	195 0.6×	49 0.3×	55	1.6k
Daniel A. Abrams United States	22	1.7k 1.3×	127 0.2×	361 0.8×	38 0.1×	144 0.7×	44	2.2k
César F. Lima Portugal	25	1.2k 0.9×	470 0.6×	595 1.3×	256 0.8×	36 0.2×	61	1.8k
Patrick Bermudez Canada	15	1.3k 1.0×	378 0.5×	388 0.9×	261 0.8×	123 0.6×	19	1.6k
Elina Pihko Finland	26	1.5k 1.2×	269 0.3×	437 1.0×	42 0.1×	67 0.3×	47	2.0k
Jane E. Warren United Kingdom	17	1.5k 1.1×	404 0.5×	414 0.9×	28 0.1×	159 0.8×	25	1.7k

Countries citing papers authored by Mitchel Benovoy

Since Specialization

Citations

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

Fields of papers citing papers by Mitchel Benovoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchel Benovoy

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

Borodzicz-Jażdżyk, Sonia, et al.. (2025). Stress T1 mapping and quantitative perfusion cardiovascular magnetic resonance in patients with suspected obstructive coronary artery disease. European Heart Journal - Cardiovascular Imaging. 26(6). 980–990.

Weberling, Lukas D., Andreas Ochs, Mitchel Benovoy, et al.. (2025). Machine Learning to Automatically Differentiate Hypertrophic Cardiomyopathy, Cardiac Light Chain, and Cardiac Transthyretin Amyloidosis: A Multicenter CMR Study. Circulation Cardiovascular Imaging. 18(7). e017761–e017761. 2 indexed citations

Friedrich, Matthias G., et al.. (2025). Deep learning-based cardiac mri analysis for hypertrophic cardiomyopathy detection. Journal of Cardiovascular Magnetic Resonance. 27. 101402–101402. 1 indexed citations

Karagodin, Ilya, Shuo Wang, Haonan Wang, et al.. (2024). Myocardial Blood Flow Quantified Using Stress Cardiac Magnetic Resonance After Mild COVID-19 Infection. JACC Advances. 3(3). 100834–100834. 2 indexed citations

Borodzicz-Jażdżyk, Sonia, Ahmet Demirkıran, Robert M. Hoek, et al.. (2024). Clinical implementation of a fully automated quantitative perfusion cardiovascular magnetic resonance imaging workflow with a simplified dual-bolus contrast administration scheme. Scientific Reports. 14(1). 9665–9665. 3 indexed citations

Fujikura, Kana, Tushar Acharya, Mitchel Benovoy, et al.. (2024). CMR provides comparable measurements of diastolic function as echocardiography. Scientific Reports. 14(1). 11658–11658. 5 indexed citations

Luu, Judy, et al.. (2024). Automated Data Transformation and Feature Extraction for Oxygenation-Sensitive Cardiovascular Magnetic Resonance Images. Journal of Cardiovascular Translational Research. 17(3). 705–715.

Rafiee, Moezedin Javad, et al.. (2024). Comprehensive review of artifacts in cardiac MRI and their mitigation. The International Journal of Cardiovascular Imaging. 40(10). 2021–2039. 2 indexed citations

Benovoy, Mitchel, et al.. (2023). Electroencephalography signals and neurodevelopment after Kawasaki disease: A pilot study. Pediatrics International. 65(1). e15482–e15482. 1 indexed citations

10.

Scannell, Cian M., David Higgins, David Broadbent, et al.. (2023). 9 A comparison between three quantitative perfusion post processing methods. Abstracts. A7.2–A8. 2 indexed citations

11.

Benovoy, Mitchel, et al.. (2023). AI-powered assessment of biomarkers for growth prediction of abdominal aortic aneurysms. SHILAP Revista de lepidopterología. 4. 100119–100119. 12 indexed citations

12.

Benovoy, Mitchel, et al.. (2023). MACHINE LEARNING BASED ANALYSIS OF OXYGENATION-SENSITIVE CMR IMAGES IN PATIENTS WITH SUSPECTED CORONARY ARTERY STENOSIS. Journal of the American College of Cardiology. 81(8). 1407–1407.

13.

Benovoy, Mitchel, Lin‐Ching Chang, David Corcoran, et al.. (2021). Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance. IEEE Access. 9. 52796–52811. 17 indexed citations

14.

Benovoy, Mitchel, et al.. (2021). Deep Learning-Based Approach to Automatically Assess Coronary Distensibility Following Kawasaki Disease. Pediatric Cardiology. 43(4). 807–815. 6 indexed citations

15.

Chen, David, Mitchel Benovoy, Richard A. Grimm, et al.. (2021). Abstract 12691: Comparison of Deep Learning and Radiomic Features to Differentiate Non-Ischemic and Ischemic Cardiomyopathy Using Cardiac MRI Cine Imaging. Circulation. 144(Suppl_1). 1 indexed citations

16.

Gold, Benjamin P., Ernest Mas‐Herrero, Yashar Zeighami, et al.. (2019). Musical reward prediction errors engage the nucleus accumbens and motivate learning. Proceedings of the National Academy of Sciences. 116(8). 3310–3315. 85 indexed citations

17.

Dionne, Audrey, Cathérine Gebhard, Mitchel Benovoy, et al.. (2018). Difference Between Persistent Aneurysm, Regressed Aneurysm, and Coronary Dilation in Kawasaki Disease: An Optical Coherence Tomography Study. Canadian Journal of Cardiology. 34(9). 1120–1128. 17 indexed citations

18.

Benovoy, Mitchel, Audrey Dionne, Farida Chériet, Roch L. Maurice, & Nagib Dahdah. (2016). CORRELATION BETWEEN AUTOMATIC ANGIO-BASED CORONARY ARTERY STIFFNESS ASSESSMENT AND VISUAL OCT PATHOLOGY SCORING. Journal of the American College of Cardiology. 67(13). 1672–1672. 1 indexed citations

19.

Benovoy, Mitchel, et al.. (2016). Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 18(1). 17–17. 35 indexed citations

20.

Salimpoor, Valorie N., Mitchel Benovoy, Kevin Larcher, Alain Dagher, & Robert J. Zatorre. (2011). Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nature Neuroscience. 14(2). 257–262. 1066 indexed citations breakdown →

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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