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.
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
2020730 citationsMarino Gatto, Enrico Bertuzzo et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stefano Miccoli
Since
Specialization
Citations
This map shows the geographic impact of Stefano Miccoli'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 Stefano Miccoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Miccoli more than expected).
This network shows the impact of papers produced by Stefano Miccoli. 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 Stefano Miccoli. The network helps show where Stefano Miccoli may publish in the future.
Co-authorship network of co-authors of Stefano Miccoli
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Miccoli.
A scholar is included among the top collaborators of Stefano Miccoli 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 Stefano Miccoli. Stefano Miccoli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gatto, Marino, Enrico Bertuzzo, Lorenzo Mari, et al.. (2020). Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures. Proceedings of the National Academy of Sciences. 117(19). 10484–10491.730 indexed citations breakdown →
Corradi, Roberto, et al.. (2016). Experimental modal analysis and finite element modelling of a contemporary violin. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7.2 indexed citations
13.
Antonacci, Fabio, et al.. (2015). A MULTIDISCIPLINARY APPROACH TO THE CHARACTERI- ZATION OF BOWED STRING INSTRUMENTS: THE MUSICAL ACOUSTICS LAB IN CREMONA. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8.4 indexed citations
Corradi, Roberto, et al.. (2010). Experimental Modal Analysis and Structural Modelling of a Grand Piano Soundboard to Support Instrument Design. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–12.2 indexed citations
17.
Gorla, Carlo, et al.. (2004). Lezioni di Tecnica delle Costruzioni Meccaniche. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).1 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.