Cardiovascular Engineering and Technology

Aims & Scope

Cardiovascular Engineering and Technology is a journal publishing the spectrum of basic to translational research in all aspects of cardiovascular physiology and medical treatment.

It is the forum for academic and industrial investigators to disseminate research that utilizes engineering principles and methods to advance fundamental knowledge and technological solutions related to the cardiovascular system.

Manuscripts spanning from subcellular to systems level topics are invited, including but not limited to implantable medical devices, hemodynamics and tissue biomechanics, functional imaging, surgical devices, electrophysiology, tissue engineering and regenerative medicine, diagnostic instruments, transport and delivery of biologics, and sensors.

In addition to manuscripts describing the original publication of research, manuscripts reviewing developments in these topics or their state-of-art are also invited.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	1.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.486

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	40

Journal Rank

Year	Value
2024	11871

Journal Citation Indicator

Year	Value
2024	403

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Assessment of CFD Performance in Simulations of an Idealized Medical Device: Results of FDA’s First Computational Interlaboratory Study

  Citation: 126

  Authors: Sandy F. C., Eric G., Greg W., Prasanna, Matthew, Varun, Steven W., Keefe B., Steven, Michael R., Matthew R., Richard A.

• Fistula First Initiative: Historical Impact on Vascular Access Practice Patterns and Influence on Future Vascular Access Care

  Citation: 110

  Authors: Timmy

• The Glycocalyx and Its Role in Vascular Physiology and Vascular Related Diseases

  Citation: 108

  Authors: Sheldon, Limary M., Bingmei M., John M.

• Tissue Engineering of Blood Vessels: Functional Requirements, Progress, and Future Challenges

  Citation: 101

  Authors: Vivek A., Luke P., Jeffrey M., Elliot L.

• Fluid–Structure Interaction Study of Transcatheter Aortic Valve Dynamics Using Smoothed Particle Hydrodynamics

  Citation: 97

  Authors: Wenbin, Kewei, Wei

• Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge

  Citation: 97

  Authors: Kristian, Aslak W., Yuji, Leonid, Jan, Jordi, Salvatore, Senol, Kerem, Arjan J., Ignacio, Saikiran, Viorel, Wenyu, Aike, Kartik, Sabine, Kent-Andre, Ramji, Thomas, Neil, Alistair, Nicolas, J. Graeme, Masanori, Fujimaro, Prahlad G., Leonard D., Stephen, Masaaki, Satoshi, Michael, Alberto, Hernán G., Thierry, Simona, Yahia M., Justin S., Alison L., Sreeja, G. Albert, Alistair G., Kristian, Kuniyasu, Sherif, Shin-ichiro, M., Adam R., Shawn C., Bart M. W., Charles B. L. M., Philipp, Sylvia, Kenichi, David A.

• Mitral Valve Patient-Specific Finite Element Modeling from Cardiac MRI: Application to an Annuloplasty Procedure

  Citation: 96

  Authors: Marco, Francesco, Carlo A., Emiliano, Alice, Massimo, Oberdan, Enrico G., Alberto

• Considerations in the Development of Small-Diameter Vascular Graft as an Alternative for Bypass and Reconstructive Surgeries: A Review

  Citation: 92

  Authors: Francis O., Gladys A., Do-Wan, Hwa-Jin, Chan Hee, Cheol Sang, In Seok

• A Review on Computational Fluid Dynamics Modelling in Human Thoracic Aorta

  Citation: 86

  Authors: A. D., S.

• An Efficient R-peak Detection Based on New Nonlinear Transformation and First-Order Gaussian Differentiator

  Citation: 82

  Authors: P., M., S. R. M., K. P.

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