Jason Carson

433 total citations
19 papers, 288 citations indexed

About

Jason Carson is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jason Carson has authored 19 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jason Carson's work include Cardiovascular Health and Disease Prevention (7 papers), Coronary Interventions and Diagnostics (6 papers) and Pregnancy and preeclampsia studies (3 papers). Jason Carson is often cited by papers focused on Cardiovascular Health and Disease Prevention (7 papers), Coronary Interventions and Diagnostics (6 papers) and Pregnancy and preeclampsia studies (3 papers). Jason Carson collaborates with scholars based in United Kingdom, United States and Argentina. Jason Carson's co-authors include Perumal Nithiarasu, Raoul van Loon, Igor Sazonov, Carl Roobottom, Sanjay Pant, Michael J. Lewis, D. Rassi, Dimitris Parthimos, Ankush Aggarwal and Lynne Warrander and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers in Biology and Medicine.

In The Last Decade

Jason Carson

16 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Carson United Kingdom 10 138 104 77 59 38 19 288
Yisong Lv China 10 24 0.2× 49 0.5× 75 1.0× 53 0.9× 4 0.1× 21 318
John K. Johnstone United States 13 65 0.5× 81 0.8× 190 2.5× 36 0.6× 15 0.4× 39 587
S.C. DeJong United States 6 108 0.8× 244 2.3× 205 2.7× 92 1.6× 4 0.1× 18 459
Dominik Neumann Germany 10 133 1.0× 30 0.3× 107 1.4× 61 1.0× 6 0.2× 18 300
M.T. Nguyen France 15 235 1.7× 75 0.7× 87 1.1× 30 0.5× 2 0.1× 50 562
Alexander F. Kolen Netherlands 12 117 0.8× 54 0.5× 107 1.4× 178 3.0× 3 0.1× 31 394
Gabriel Mistelbauer Austria 11 216 1.6× 99 1.0× 75 1.0× 101 1.7× 2 0.1× 40 520
Mousumi Bhaduri Canada 12 94 0.7× 48 0.5× 158 2.1× 71 1.2× 2 0.1× 20 381
Kenji Tamaki Japan 10 115 0.8× 36 0.3× 29 0.4× 21 0.4× 21 0.6× 44 293

Countries citing papers authored by Jason Carson

Since Specialization
Citations

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

Fields of papers citing papers by Jason Carson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Carson

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

All Works

19 of 19 papers shown
1.
Carson, Jason, Raoul van Loon, & Hari Arora. (2024). A personalised computational model of the impact of COVID-19 on lung function under mechanical ventilation. Computers in Biology and Medicine. 183. 109177–109177.
2.
Carson, Jason, et al.. (2024). Development of non-invasive biomarkers for pre-eclampsia through data-driven cardiovascular network models. Scientific Reports. 14(1). 23144–23144. 1 indexed citations
3.
Ormesher, Laura, Dexter J. L. Hayes, Jason Carson, et al.. (2023). The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester–A primary cohort study with a scoping review. PLoS ONE. 18(10). e0287804–e0287804.
4.
5.
Carson, Jason, et al.. (2021). 1D-Hyperelastic-Haemodynamics: Version1. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
Carson, Jason, et al.. (2021). A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations. Biomechanics and Modeling in Mechanobiology. 20(4). 1231–1249. 13 indexed citations
7.
Carson, Jason, et al.. (2021). Automating fractional flow reserve (FFR) calculation from CT scans: A rapid workflow using unsupervised learning and computational fluid dynamics. International Journal for Numerical Methods in Biomedical Engineering. 38(3). e3559–e3559. 7 indexed citations
8.
Carson, Jason, et al.. (2020). Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 234(11). 1337–1350. 10 indexed citations
9.
Carson, Jason, Michael J. Lewis, D. Rassi, & Raoul van Loon. (2019). A data-driven model to study utero-ovarian blood flow physiology during pregnancy. Biomechanics and Modeling in Mechanobiology. 18(4). 1155–1176. 23 indexed citations
10.
Carson, Jason, Sanjay Pant, Carl Roobottom, et al.. (2019). Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies. International Journal for Numerical Methods in Biomedical Engineering. 35(10). e3235–e3235. 39 indexed citations
11.
Carson, Jason, et al.. (2019). A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method. International Journal for Numerical Methods in Biomedical Engineering. 35(5). 59 indexed citations
12.
Carson, Jason, Lynne Warrander, Edward Johnstone, & Raoul van Loon. (2019). Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach. International Journal for Numerical Methods in Biomedical Engineering. 37(11). e3267–e3267. 16 indexed citations
13.
Carson, Jason, et al.. (2019). Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models. International Journal for Numerical Methods in Biomedical Engineering. 35(11). e3255–e3255. 21 indexed citations
14.
Carson, Jason & Nobuchika Okada. (2018). 125 GeV Higgs boson mass from 5D gauge-Higgs unification. Progress of Theoretical and Experimental Physics. 2018(3). 1 indexed citations
15.
Carson, Jason, et al.. (2018). Influence of ageing on human body blood flow and heat transfer: A detailed computational modelling study. International Journal for Numerical Methods in Biomedical Engineering. 34(10). e3120–e3120. 26 indexed citations
16.
Sazonov, Igor, Ashraf W. Khir, Etienne Boileau, et al.. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology. 16(4). 1225–1242. 26 indexed citations
17.
Carson, Jason & Raoul van Loon. (2016). An implicit solver for 1D arterial network models. International Journal for Numerical Methods in Biomedical Engineering. 33(7). 32 indexed citations
18.
Casoliva, Jordi, et al.. (2012). G-FOLD: A Real-Time Implementable Fuel Optimal Large Divert Guidance Algorithm for Planetary Pinpoint Landing. 1679. 4193. 9 indexed citations
19.
Blackmore, Lars, et al.. (2012). Lossless convexification of control constraints for a class of nonlinear optimal control problems. 10. 5519–5525. 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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