This map shows the geographic impact of C. Lamberti'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 C. Lamberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lamberti more than expected).
This network shows the impact of papers produced by C. Lamberti. 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 C. Lamberti. The network helps show where C. Lamberti may publish in the future.
Co-authorship network of co-authors of C. Lamberti
This figure shows the co-authorship network connecting the top 25 collaborators of C. Lamberti.
A scholar is included among the top collaborators of C. Lamberti 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 C. Lamberti. C. Lamberti 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.
Corsi, Cristiana, Michele Aquilina, Andrea Casadei‐Gardini, et al.. (2013). Early detection of cardiotoxicity in chemotherapy-treated patients from real-time 3D echocardiography. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40. 249–252.6 indexed citations
2.
Veronesi, Federico, Karima Addetia, C. Lamberti, Roberto M. Lang, & Victor Mor‐Avi. (2013). 3D evaluation of tricuspid annulus morphology in patients with pulmonary hypertension. Computing in Cardiology Conference. 241–244.1 indexed citations
3.
Corsi, Cristiana, et al.. (2011). Fully automated quantification of left and right ventricular volumes throughout the cardiac cycle from magnetic resonance imaging. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 377–380.2 indexed citations
4.
Tarroni, Giacomo, et al.. (2011). Automatic quantification of cardiac scar extent from late gadolinium enhancement magnetic resonance imaging. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 405–408.2 indexed citations
5.
Tarroni, Giacomo, Federico Veronesi, James J. Walter, et al.. (2010). MRI-based quantification of myocardial perfusion at rest and stress using automated frame-by-frame segmentation and non-rigid registration. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–4.5 indexed citations
6.
Azarine, Arshid, et al.. (2010). Estimation of right ventricular volume, quantitative assessment of wall motion and trabeculae mass in arrhythmogenic right ventricular dysplasia. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 805–808.2 indexed citations
7.
Veronesi, Federico, Cristiana Corsi, Victor Mor‐Avi, et al.. (2009). Quantification of aortic valve stenosis using transesophageal real-time 3D echocardiographic images. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 36. 37–40.1 indexed citations
Caiani, Enrico G., Federico Veronesi, Gloria Tamborini, et al.. (2008). Quantitative assessment of the effects of different annuloplasty rings on mitral annulus dynamic geometry using real-time 3D echocardiography.. Journal of the American Society of Echocardiography. 558–558.
Caiani, Enrico G., Cristiana Corsi, Federico Veronesi, et al.. (2006). Automated assessment of left ventricular wall motion based on surface detection and color-encoding of real time three-dimensional echocardiographic images. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 33. 121–124.1 indexed citations
12.
Veronesi, Federico, et al.. (2006). Improved automated quantification of left ventricular size and function from cardiac magnetic resonance images. Computing in Cardiology Conference. 33. 53–56.5 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.