Kostas Stefanou

648 total citations
34 papers, 442 citations indexed

About

Kostas Stefanou is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kostas Stefanou has authored 34 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 13 papers in Cardiology and Cardiovascular Medicine and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kostas Stefanou's work include Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (12 papers) and Cerebrovascular and Carotid Artery Diseases (8 papers). Kostas Stefanou is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (12 papers) and Cerebrovascular and Carotid Artery Diseases (8 papers). Kostas Stefanou collaborates with scholars based in Greece, United States and Italy. Kostas Stefanou's co-authors include Lampros K. Michalis, Michail I. Papafaklis, Dimitrios I. Fotiadis, Charles Maynard, Gerasimos Siasos, Ahmet U. Coskun, Peter H. Stone, Marina Zaromytidou, Charles L. Feldman and Dimitrios I. Fotiadis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kostas Stefanou

32 papers receiving 435 citations

Peers

Kostas Stefanou
Sridhar Madala United States
Roland Bullens Netherlands
Daniela Valdez‐Jasso United States
Robert E. O’Donnell United States
Akhil Sharma India
Beau Pontré New Zealand
David Bogorad United States
Pan Sun China
David Calvo Spain
A. C. Armstrong United States
Sridhar Madala United States
Kostas Stefanou
Citations per year, relative to Kostas Stefanou Kostas Stefanou (= 1×) peers Sridhar Madala

Countries citing papers authored by Kostas Stefanou

Since Specialization
Citations

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

Fields of papers citing papers by Kostas Stefanou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kostas Stefanou

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

All Works

20 of 20 papers shown
1.
2.
Stefanou, Kostas, Katerina D. Tzimourta, Markos G. Tsipouras, et al.. (2025). A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations. Journal of Personalized Medicine. 15(1). 27–27. 11 indexed citations
3.
Stefanou, Kostas, et al.. (2024). Intelligent green public transport in border cities. IET conference proceedings.. 2024(3). 89–95. 1 indexed citations
4.
Stefanou, Kostas, et al.. (2023). EDIT Software: A tool for the semi-automatic 3D reconstruction of bladder cancer and urinary bladder of animal models. Computer Methods and Programs in Biomedicine. 232. 107448–107448. 2 indexed citations
5.
Siogkas, Panagiotis K., Λάμπρος Λάκκας, Antonis I. Sakellarios, et al.. (2021). SmartFFR, a New Functional Index of Coronary Stenosis: Comparison With Invasive FFR Data. Frontiers in Cardiovascular Medicine. 8. 714471–714471. 9 indexed citations
6.
Varshney, Anubodh S., Ahmet U. Coskun, Gerasimos Siasos, et al.. (2020). Spatial relationships among hemodynamic, anatomic, and biochemical plaque characteristics in patients with coronary artery disease. Atherosclerosis. 320. 98–104. 7 indexed citations
7.
8.
Siasos, Gerasimos, Jaskanwal Deep Singh Sara, Marina Zaromytidou, et al.. (2018). Local Low Shear Stress and Endothelial Dysfunction in Patients With Nonobstructive Coronary Atherosclerosis. Journal of the American College of Cardiology. 71(19). 2092–2102. 108 indexed citations
9.
Stone, Peter H., Akiko Maehara, Ahmet U. Coskun, et al.. (2017). Role of Low Endothelial Shear Stress and Plaque Characteristics in the Prediction of Nonculprit Major Adverse Cardiac Events. JACC. Cardiovascular imaging. 11(3). 462–471. 108 indexed citations
10.
Zaromytidou, Marina, Gregg W. Stone, Akiko Maehara, et al.. (2016). LOCALIZATION OF CULPRIT ENDOTHELIAL SHEAR STRESS PATTERNS ALONG THE COURSE OF UNTREATED CORONARY LESIONS RESPONSIBLE FOR FUTURE MACE: THE PROSPECT STUDY. Journal of the American College of Cardiology. 67(13). 358–358. 1 indexed citations
11.
Athanasiou, Lambros S., George Rigas, Antonis I. Sakellarios, et al.. (2015). Error propagation in the characterization of atheromatic plaque types based on imaging. Computer Methods and Programs in Biomedicine. 121(3). 161–174. 10 indexed citations
12.
Stone, Peter H., Akiko Maehara, Ahmet U. Coskun, et al.. (2015). TCT-317 Local Low Endothelial Shear Stress (ESS) Provides Incremental Prediction of Non-culprit MACE in Addition to Plaque Burden, Minimal Lumen Area, and Plaque Morphology: The PROSPECT Study. Journal of the American College of Cardiology. 66(15). B126–B126. 3 indexed citations
13.
Siogkas, Panagiotis K., Michail I. Papafaklis, Antonis I. Sakellarios, et al.. (2015). Patient-Specific Simulation of Coronary Artery Pressure Measurements: An In Vivo Three-Dimensional Validation Study in Humans. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations
14.
Karanasiou, Georgia S., Dimitrios Gatsios, Marios G. Lykissas, et al.. (2015). Fluid-structure interaction analysis of anastomosis in patient specific arterial segment. 1–4. 1 indexed citations
15.
Karvounis, Evaggelos, Markos G. Tsipouras, Alexandros T. Tzallas, et al.. (2014). A Decision Support System for the Treatment of Patients with Ventricular Assist Device Support. Methods of Information in Medicine. 53(2). 121–136. 8 indexed citations
16.
Karanasiou, Georgia S., Claire Conway, Michail I. Papafaklis, et al.. (2014). Finite element analysis of stent implantation in a three-dimensional reconstructed arterial segment. PubMed. 2014. 5623–5626. 1 indexed citations
17.
Exarchos, Themis P., George Rigas, Yorgos Goletsis, et al.. (2014). A dynamic Bayesian network approach for time-specific survival probability prediction in patients after ventricular assist device implantation. PubMed. 2014. 3172–3175. 1 indexed citations
18.
Sakellarios, Antonis I., Kostas Stefanou, Panagiotis K. Siogkas, et al.. (2012). Novel methodology for 3D reconstruction of carotid arteries and plaque characterization based upon magnetic resonance imaging carotid angiography data. Magnetic Resonance Imaging. 30(8). 1068–1082. 11 indexed citations
19.
20.
Siogkas, Panagiotis K., Antonis I. Sakellarios, Lambros S. Athanasiou, et al.. (2011). Multiscale - Patient-Specific Artery and Atherogenesis Models. IEEE Transactions on Biomedical Engineering. 58(12). 3464–3468. 29 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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