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D. Thomas

ResearcherPublications, citations & collaboration network

D. Thomas is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 46 works, 548 citations, an h-index of 14 and an i10-index of 17.

46
Works
548
Citations
14
h-index
17
i10-index

How has D. Thomas's publication output changed over time?

ScholarIQpublication output · 1985–2025

Output grew0% over the shown period — from 1 works in 1985 to 1 in 2025.

1
1
4
1
1
1
1
1
19851994199719992001201820192025

What are the most-cited papers on D. Thomas?

ScholarIQmost cited works
A sensorless approach to control of a turbodynamic left ventricular assist system
Seongjin Choi, J.E. Antaki, Robert Boston, D. Thomas
S133363738. 200194 Citations
Modeling and identification of an axial flow blood pump
Seongjin Choi, J.R. Boston, D. Thomas, James F. Antaki
199766 Citations
A fully partitioned Lagrangian framework for FSI problems characterized by free surfaces, large solid deformations and displacements, and strong added-mass effects
Marco Lucio Cerquaglia, D. Thomas, Romain Boman, Vincent Terrapon, Jean‐Philippe Ponthot
S40006715. 201958 CitationsOPEN ACCESS
Fluid Dynamic Characterization of Operating Conditions for Continuous Flow Blood Pumps
Zhongjun J. Wu, James F. Antaki, Greg W. Burgreen, K. Butler, D. Thomas, Bartley P. Griffith
ASAIO Journal. 199948 Citations
CUPyDO - An integrated Python environment for coupled fluid-structure simulations
D. Thomas, Marco Lucio Cerquaglia, Romain Boman, Thomas D. Economon, Juan J. Alonso, Grigorios Dimitriadis, Vincent Terrapon
S16540516. 201835 CitationsOPEN ACCESS

Related on ScholarIQ

A sensorless approach to control of a turbodynamic left ventricular assist system
Paper
Modeling and identification of an axial flow blood pump
Paper
A fully partitioned Lagrangian framework for FSI problems characterized by free surfaces, large solid deformations and displacements, and strong added-mass effects
Paper
Fluid Dynamic Characterization of Operating Conditions for Continuous Flow Blood Pumps
Paper
CUPyDO - An integrated Python environment for coupled fluid-structure simulations
Paper
Controller for an axial-flow blood pump.
Paper
470M+ articles · free account