What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
Nicolas P. Smith mainly investigates Internal medicine, Biophysics, Mechanics, Cardiology and Simulation.
His study in Internal medicine concentrates on Sarcomere and Contraction.
His Biophysics study incorporates themes from Endocrinology, Endoplasmic reticulum, Stereochemistry, Troponin C and Kinetics.
His research in Mechanics intersects with topics in Ventricle, Numerical analysis, Numerical stability, Constitutive equation and Nonlinear system.
Many of his studies involve connections with topics such as Surgery and Cardiology.
His Simulation research integrates issues from Scalability, Monodomain model and Physiome.
His most cited work include:
- An anatomically based model of transient coronary blood flow in the heart (262 citations)
- Computational physiology and the Physiome Project. (210 citations)
- A Quantitative Analysis of Cardiac Myocyte Relaxation: A Simulation Study (148 citations)
What are the main themes of his work throughout his whole career to date?
Nicolas P. Smith spends much of his time researching Internal medicine, Cardiology, Blood flow, Mechanics and Artificial intelligence.
His study brings together the fields of Endocrinology and Internal medicine.
The concepts of his Blood flow study are interwoven with issues in Hemodynamics, Simulation and Biomedical engineering.
His work focuses on many connections between Mechanics and other disciplines, such as Boundary value problem, that overlap with his field of interest in Flow.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition.
His Cardiac resynchronization therapy study combines topics in areas such as Cardiac function curve, QRS complex, Surgery and Heart rate.
He most often published in these fields:
- Internal medicine (33.33%)
- Cardiology (24.66%)
- Blood flow (15.98%)
What were the highlights of his more recent work (between 2014-2019)?
- Internal medicine (33.33%)
- Cardiology (24.66%)
- Blood flow (15.98%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Cardiology, Blood flow, Computational model and Biomedical engineering.
His Internal medicine study frequently links to other fields, such as Endocrinology.
His work on Cardiology is being expanded to include thematically relevant topics such as Diastole.
He has included themes like Coronary artery disease, Motion, Mechanics and Simulation in his Blood flow study.
His Computational model research is multidisciplinary, incorporating elements of Computational science, Cardiac mechanics, Electromechanics and Benchmark.
His work in Biomedical engineering addresses subjects such as Coronary circulation, which are connected to disciplines such as Perfusion and Microcirculation.
Between 2014 and 2019, his most popular works were:
- Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour (55 citations)
- Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour (55 citations)
- A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes (44 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Artificial intelligence
His primary areas of investigation include Blood flow, Bernoulli's principle, Genetic association, ABO blood group system and Von Willebrand disease.
He interconnects Computational fluid dynamics, Image segmentation, Simulation, Applied mathematics and Newtonian fluid in the investigation of issues within Blood flow.
He integrates several fields in his works, including Bernoulli's principle, Noise, Robustness, Spatial acceleration, Drop and Mechanics.
His Spatial acceleration research includes a combination of various areas of study, such as Peak velocity, Peak pressure, Aortic valve, Blood pressure and Statistics.
His Drop investigation overlaps with Hemodynamics and Accuracy and precision.
His Genetic association research includes elements of Genetic model, Polymorphism and Genetics.
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