Anthony P. Reeves

11.2k total citations · 1 hit paper
184 papers, 5.4k citations indexed

About

Anthony P. Reeves is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anthony P. Reeves has authored 184 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Radiology, Nuclear Medicine and Imaging, 73 papers in Pulmonary and Respiratory Medicine and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anthony P. Reeves's work include Lung Cancer Diagnosis and Treatment (57 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Medical Imaging Techniques and Applications (41 papers). Anthony P. Reeves is often cited by papers focused on Lung Cancer Diagnosis and Treatment (57 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Medical Imaging Techniques and Applications (41 papers). Anthony P. Reeves collaborates with scholars based in United States, Spain and Switzerland. Anthony P. Reeves's co-authors include David F. Yankelevitz, Claudia I. Henschke, William J. Kostis, M. Willebeek-LeMair, B. Zhao, Claudia I. Henschke, O.R. Mitchell, Artit Jirapatnakul, Alberto Biancardi and Geoffrey McLennan and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Anthony P. Reeves

173 papers receiving 5.2k citations

Hit Papers

Metrology Standards for Quantitative Imaging Biomarkers 2015 2026 2018 2022 2015 100 200 300

Peers

Anthony P. Reeves
Danny Z. Chen United States
Bernhard Kainz United Kingdom
Jing Wang China
Arnaud A. A. Setio Netherlands
Shai Fine United States
Weidong Cai Australia
Marios S. Pattichis United States
Yong Xia China
Kevin L. Moore United States
Danny Z. Chen United States
Anthony P. Reeves
Citations per year, relative to Anthony P. Reeves Anthony P. Reeves (= 1×) peers Danny Z. Chen

Countries citing papers authored by Anthony P. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Anthony P. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony P. Reeves. 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 Anthony P. Reeves. The network helps show where Anthony P. Reeves may publish in the future.

Co-authorship network of co-authors of Anthony P. Reeves

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

All Works

20 of 20 papers shown
1.
Naghavi, Morteza, Abbas Azimi, Anthony P. Reeves, et al.. (2025). Artificial Intelligence-derived Myosteatosis On Cardiac CT And Incident COPD Risk: An AI-CVD Study. Journal of cardiovascular computed tomography. 19(4). S64–S65.
2.
Naghavi, Morteza, et al.. (2025). AI Measurement Of Myosteatosis In Cardiac CT Predicts Atrial Fibrillation And Heart Failure: An AI-CVD Study. Journal of cardiovascular computed tomography. 19(4). S70–S70.
3.
Naghavi, Morteza, et al.. (2025). AI-enabled Cardiac Chambers Volumetry Interactions With Diabetes For Incident Heart Failure: An AI-CVD Study. Journal of cardiovascular computed tomography. 19(4). S52–S52.
7.
Naghavi, Morteza, Anthony P. Reeves, Matthew J. Budoff, et al.. (2024). AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CACTM) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis. Journal of cardiovascular computed tomography. 18(4). 392–400. 5 indexed citations
8.
Naghavi, Morteza, David F. Yankelevitz, Anthony P. Reeves, et al.. (2024). AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis. Journal of cardiovascular computed tomography. 18(4). 383–391. 6 indexed citations
9.
Guo, Songtao, Yuhao Xu, Yujie Wang, et al.. (2024). Combustion of n-propylbenzene: Experiments and numerical modeling. Proceedings of the Combustion Institute. 40(1-4). 105543–105543. 1 indexed citations
10.
Zhang, Chenyu, Songshou Mao, Anthony P. Reeves, et al.. (2023). AI-enabled Cardiac Chambers Volumetry In Non-contrast Coronary Artery Calcium CT Scans Vs. Contrast-enhanced Coronary CT Angiography Scans In The Same Patients. Journal of cardiovascular computed tomography. 17(4). S63–S63. 2 indexed citations
11.
Naghavi, Morteza, Song Mao, Juan Montoya, et al.. (2023). Opportunistic AI-enabled automated bone mineral density measurements in lung cancer screening and coronary calcium scoring CT scans are equivalent. European Journal of Radiology Open. 10. 100492–100492. 11 indexed citations
12.
Barr, R. Graham, Sonia Mesía-Vela, John H. M. Austin, et al.. (2007). Impaired Flow-mediated Dilation is Associated with Low Pulmonary Function and Emphysema in Ex-smokers. American Journal of Respiratory and Critical Care Medicine. 176(12). 1200–1207. 191 indexed citations
13.
Reeves, Anthony P., et al.. (1992). Sparse Data Representation for Dense Data-Parallel Computation.. Proceedings of the International Conference on Parallel Processing. 106–114. 1 indexed citations
14.
Willebeek-LeMair, M., et al.. (1990). Characterization of Multicomputer Systems: A Transfer Ratio Approach.. Proceedings of the International Conference on Parallel Processing. 171–178. 3 indexed citations
15.
Elster, Anne C. & Anthony P. Reeves. (1989). Fault-Tolerant Matrix Operations on Hypercube Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 169–176. 4 indexed citations
16.
Reeves, Anthony P., et al.. (1988). On Measuring the Performance of a Massively Parallel Processor.. Proceedings of the International Conference on Parallel Processing. 261–270. 3 indexed citations
17.
Reeves, Anthony P. & Donna Bergmark. (1987). Parallel Pascal and the FPS Hypercube Supercomputer.. Proceedings of the International Conference on Parallel Processing. 385–388. 6 indexed citations
18.
Reeves, Anthony P.. (1986). Highly Parallel Computer Architectures for Scientific Applications. 694–710. 2 indexed citations
19.
Uyar, M. Ümit & Anthony P. Reeves. (1985). Fault Reconfiguration in a Distributed MIMD Environment with a Multiusage Network.. Proceedings of the International Conference on Parallel Processing. 798–806. 1 indexed citations
20.
Goff, William R., et al.. (1977). Somatic vertex potentials in commissurotomized patients. Electroencephalography and Clinical Neurophysiology. 42(5). 728. 3 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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