Amy F. Smith

829 total citations
11 papers, 218 citations indexed

About

Amy F. Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amy F. Smith has authored 11 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amy F. Smith's work include Advanced MRI Techniques and Applications (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). Amy F. Smith is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). Amy F. Smith collaborates with scholars based in United States, United Kingdom and Germany. Amy F. Smith's co-authors include Timothy W. Secomb, Sava Sakadžić, David A. Boas, Axel R. Pries, Anna Devor, Rebecca J. Shipley, Louis Gagnon, Nicolas P. Smith, Sylvie Lorthois and Myriam Peyrounette and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Hepatology and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Amy F. Smith

11 papers receiving 217 citations

Peers

Amy F. Smith
Paul W. Sweeney United Kingdom
Maxime Berg United Kingdom
Joseph J. Musacchia United States
Franca Schmid Switzerland
Sung-Cheng Huang United States
Frederick W. Damen United States
Luogang Wei United States
Kevin Tangen United States
Paul W. Sweeney United Kingdom
Amy F. Smith
Citations per year, relative to Amy F. Smith Amy F. Smith (= 1×) peers Paul W. Sweeney

Countries citing papers authored by Amy F. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Amy F. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy F. Smith. 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 Amy F. Smith. The network helps show where Amy F. Smith may publish in the future.

Co-authorship network of co-authors of Amy F. Smith

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

All Works

11 of 11 papers shown
1.
Self, Nathan, et al.. (2020). Detecting Suspicious Timber Trades. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13248–13254. 5 indexed citations
2.
Smith, Amy F., et al.. (2020). Simulation of oxygen transport and estimation of tissue perfusion in extensive microvascular networks: Application to cerebral cortex. Journal of Cerebral Blood Flow & Metabolism. 41(3). 656–669. 23 indexed citations
3.
Smith, Amy F., Vincent Doyeux, Maxime Berg, et al.. (2019). Brain Capillary Networks Across Species: A few Simple Organizational Requirements Are Sufficient to Reproduce Both Structure and Function. Frontiers in Physiology. 10. 233–233. 67 indexed citations
4.
Shipley, Rebecca J., Amy F. Smith, Paul W. Sweeney, Axel R. Pries, & Timothy W. Secomb. (2019). A hybrid discrete–continuum approach for modelling microcirculatory blood flow. Mathematical Medicine and Biology A Journal of the IMA. 37(1). 40–57. 18 indexed citations
5.
Boteon, Yuri L., Andrea Schlegel, Richard W. Laing, et al.. (2018). A merged protocol of hypothermic oxygenated machine perfusion and normothermic machine perfusion optimizes the reconditioning of marginal donor livers. Journal of Hepatology. 68. S656–S657. 1 indexed citations
6.
Gagnon, Louis, Amy F. Smith, David A. Boas, et al.. (2016). Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation. Frontiers in Computational Neuroscience. 10. 82–82. 56 indexed citations
7.
Smith, Amy F., et al.. (2016). Microvascular hemodynamics in the chick chorioallantoic membrane. Microcirculation. 23(7). 512–522. 11 indexed citations
8.
Rasmussen, Peter Mondrup, Amy F. Smith, Sava Sakadžić, et al.. (2016). Model‐based inference from microvascular measurements: Combining experimental measurements and model predictions using a Bayesian probabilistic approach. Microcirculation. 24(4). 7 indexed citations
9.
Smith, Amy F., Rebecca J. Shipley, Jack Lee, et al.. (2014). Transmural Variation and Anisotropy of Microvascular Flow Conductivity in the Rat Myocardium. Annals of Biomedical Engineering. 42(9). 1966–1977. 15 indexed citations
10.
Smith, Amy F., Timothy W. Secomb, Axel R. Pries, Nicolas P. Smith, & Rebecca J. Shipley. (2014). Structure‐Based Algorithms for Microvessel Classification. Microcirculation. 22(2). 99–108. 14 indexed citations
11.
Eggers, Jens & Amy F. Smith. (2010). Free streamline flows with singularities. Journal of Fluid Mechanics. 647. 187–200. 1 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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