Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Variation in Top Level Soccer Match Performance
2007679 citationsErmanno Rampinini, Roberto Sassi et al.profile →
Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society
2015520 citationsRoberto Sassi, S. Cerutti et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Roberto Sassi'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 Roberto Sassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sassi more than expected).
This network shows the impact of papers produced by Roberto Sassi. 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 Roberto Sassi. The network helps show where Roberto Sassi may publish in the future.
Co-authorship network of co-authors of Roberto Sassi
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Sassi.
A scholar is included among the top collaborators of Roberto Sassi 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 Roberto Sassi. Roberto Sassi 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.
Sassi, Roberto, et al.. (2025). Exploration on Bubble Entropy. IEEE Journal of Biomedical and Health Informatics. 30(1). 708–716.
Sassi, Roberto, et al.. (2014). Proof of concept for an international long-time preservation ECG format. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 461–464.5 indexed citations
9.
Roonizi, Arman Kheirati & Roberto Sassi. (2014). A signal decomposition approach to morphological modeling of P wave. Computing in Cardiology Conference. 341–344.1 indexed citations
10.
Sassi, Roberto, et al.. (2014). A methodological assessment of Phase-Rectified Signal Averaging through simulated beat-to-beat interval time series. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 601–604.4 indexed citations
11.
Sassi, Roberto, Luca Mainardi, Pablo Laguna, & José F. Rodrı́guez. (2013). Validation of the ν-index through finite element 2D simulations. Computing in Cardiology Conference. 337–340.6 indexed citations
12.
Mainardi, Luca, et al.. (2013). Improved estimation of V-index based on analytic forms of Dominant T-Wave. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 467–470.2 indexed citations
13.
Aktaruzzaman, Md & Roberto Sassi. (2013). Sample Entropy parametric estimation for heart rate variability analysis. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 429–432.2 indexed citations
14.
Sassi, Roberto & Luca Mainardi. (2012). Quantification of spatial repolarization heterogeneity: Testing the robustness of a new technique. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 69–72.4 indexed citations
15.
Mainardi, Luca, et al.. (2011). Cancellation of ventricular activity in endocavitary recordings during atrial fibrillation by Particle Swarm Optimization. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 597–600.1 indexed citations
16.
Sassi, Roberto & Luca Mainardi. (2010). Refined estimate of the Dominant T-wave. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 845–848.2 indexed citations
17.
Sassi, Roberto, et al.. (2009). INTERFERÊNCIAS HUMANAS NA ÁREA DE INFLUÊNCIA DIRETA DO MANGUEZAL DOS RIOS TIMONHA/UBATUBA, ESTADO DO PIAUÌ, BRASIL. 15(1). 73–90.6 indexed citations
18.
Lombardi, Federico, et al.. (2006). Detrended fluctuation analysis of atrial signal during adrenergic activation in atrial fibrillation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4. 141–144.1 indexed citations
Arcelli, Enrico, Samuele Marcora, P. Mognoni, et al.. (2002). Evidence based coaching. 53–56.21 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.