Peter H. Stone
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
Atmospheric dynamics; interaction of baroclinic eddies with mean flows; general circulation of atmosphere diagnostic studies; development and application of simple climate models and coupled atmosphere-ocean models; global change; climate predictabilityWebsite:
https://paocweb.mit.edu/people/peter-h-stoneGoogle:
"Peter H. Stone"Bio:
http://journals.ametsoc.org/doi/pdf/10.1175/1520-0469(1966)023%3C0455%3AFBHWDF%3E2.0.CO%3B2
Mean distance: (not calculated yet)
Cross-listing: Meteorology Tree
Parents
Sign in to add mentorNorman A. Phillips | grad student | 1964 | Harvard (Meteorology Tree) | |
Allan R. Robinson | grad student | 1964 | Harvard | |
(Frontogenesis by horizontal wind deformation fields.) |
Children
Sign in to add traineeDennis W. Moore | grad student | 1968 | Harvard |
Antônio Divino Moura | grad student | 1975 | MIT (Meteorology Tree) |
Charles A. Lin | grad student | 1979 | MIT (Meteorology Tree) |
Nilton O. Renno | grad student | 1992 | MIT |
Kerim Hestnes Nisancioglu | grad student | 2004 | MIT (Meteorology Tree) |
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Publications
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Jin HY, Weir-McCall JR, Leipsic JA, et al. (2020) The Relationship Between Coronary Calcification and the Natural History of Coronary Artery Disease. Jacc. Cardiovascular Imaging |
Dweck MR, Maurovich-Horvat P, Leiner T, et al. (2020) Contemporary rationale for non-invasive imaging of adverse coronary plaque features to identify the vulnerable patient: a Position Paper from the European Society of Cardiology Working Group on Atherosclerosis and Vascular Biology and the European Association of Cardiovascular Imaging. European Heart Journal Cardiovascular Imaging |
Pu Z, Hakim D, Croce K, et al. (2020) Preemptive percutaneous coronary intervention for coronary artery disease: identification of the appropriate high-risk lesion. Current Opinion in Cardiology |
Lee SE, Sung JM, Andreini D, et al. (2020) Sex Differences in Compositional Plaque Volume Progression in Patients With Coronary Artery Disease. Jacc. Cardiovascular Imaging |
Conte E, Dwivedi A, Mushtaq S, et al. (2020) Age- and sex-related features of atherosclerosis from coronary computed tomography angiography in patients prior to acute coronary syndrome: results from the ICONIC study. European Heart Journal Cardiovascular Imaging |
Lee SE, Sung JM, Andreini D, et al. (2020) Per-lesion versus per-patient analysis of coronary artery disease in predicting the development of obstructive lesions: the Progression of AtheRosclerotic PlAque DetermIned by Computed TmoGraphic Angiography Imaging (PARADIGM) study. The International Journal of Cardiovascular Imaging |
Al'Aref SJ, Singh G, Choi JW, et al. (2020) A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA. Jacc. Cardiovascular Imaging |
Won KB, Lee BK, Park HB, et al. (2020) Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. Cardiovascular Diabetology. 19: 113 |
Ferraro RA, van Rosendael AR, Lu Y, et al. (2020) Non-obstructive high-risk plaques increase the risk of future culprit lesions comparable to obstructive plaques without high-risk features: the ICONIC study. European Heart Journal Cardiovascular Imaging |
Bourantas CV, Zanchin T, Torii R, et al. (2020) Shear Stress Estimated by Quantitative Coronary Angiography Predicts Plaques Prone to Progress and Cause Events. Jacc. Cardiovascular Imaging |