What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Radiology
- Statistics
David A. Steinman mainly investigates Shear stress, Magnetic resonance imaging, Mechanics, Blood flow and Simulation.
David A. Steinman combines subjects such as Hemodynamics, Nuclear medicine and Biomedical engineering with his study of Magnetic resonance imaging.
His study looks at the relationship between Biomedical engineering and fields such as Radiology, as well as how they intersect with chemical problems.
His study in Computational fluid dynamics, Flow and Newtonian fluid is carried out as part of his Mechanics studies.
His Blood flow study integrates concerns from other disciplines, such as Standard deviation, Medical imaging, Mean flow, Electrocardiography and Nuclear magnetic resonance.
His Simulation study incorporates themes from Image based, Large artery, Finite element method and Data science.
His most cited work include:
- An image-based modeling framework for patient-specific computational hemodynamics (462 citations)
- Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. (365 citations)
- Image-based computational fluid dynamics modeling in realistic arterial geometries. (306 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mechanics, Hemodynamics, Computational fluid dynamics, Shear stress and Blood flow.
His Mechanics research incorporates themes from Simulation and Carotid bifurcation.
His Hemodynamics research integrates issues from Aneurysm, Magnetic resonance imaging and Radiology.
His work deals with themes such as Nuclear medicine and Biomedical engineering, which intersect with Magnetic resonance imaging.
He works mostly in the field of Computational fluid dynamics, limiting it down to topics relating to Finite element method and, in certain cases, Tetrahedron, as a part of the same area of interest.
He works mostly in the field of Blood flow, limiting it down to topics relating to Pulsatile flow and, in certain cases, Turbulence.
He most often published in these fields:
- Mechanics (33.33%)
- Hemodynamics (32.10%)
- Computational fluid dynamics (24.69%)
What were the highlights of his more recent work (between 2017-2021)?
- Blood flow (21.40%)
- Aneurysm (14.81%)
- Computational fluid dynamics (24.69%)
In recent papers he was focusing on the following fields of study:
David A. Steinman spends much of his time researching Blood flow, Aneurysm, Computational fluid dynamics, Hemodynamics and Shear stress.
His Blood flow study combines topics in areas such as Visualization, Vascular disease, Pulsatile flow and Flow measurement.
The study incorporates disciplines such as Internal carotid artery and Inflow in addition to Aneurysm.
His study on Computational fluid dynamics is covered under Mechanics.
He has included themes like Magnetic resonance imaging, Carotid arteries and Nuclear medicine in his Hemodynamics study.
The various areas that David A. Steinman examines in his Shear stress study include Dynamical systems theory and Fixed point.
Between 2017 and 2021, his most popular works were:
- Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge. (36 citations)
- Towards the Clinical utility of CFD for assessment of intracranial aneurysm rupture – a systematic review and novel parameter-ranking tool (28 citations)
- Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation (26 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Radiology
- Statistics
David A. Steinman focuses on Rupture risk, Aneurysm, Shear stress, Computational fluid dynamics and Hemodynamics.
His work investigates the relationship between Shear stress and topics such as Inflow that intersect with problems in Volumetric flow rate, Power law, Flow and Uncertainty quantification.
His Computational fluid dynamics study incorporates themes from Aneurysm rupture, Solver, Mathematical analysis and Contraction.
His study in Hemodynamics is interdisciplinary in nature, drawing from both Magnetic resonance imaging and Blood flow.
The Magnetic resonance imaging study combines topics in areas such as Cardiology, Carotid arteries, Internal medicine, Risk factor and Human study.
His Blood flow study is concerned with the field of Radiology as a whole.
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