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.
Review and comparison of dry friction force models
2015389 citationsEttore Pennestrı̀, P Salvini 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 P Salvini'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 P Salvini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Salvini more than expected).
This network shows the impact of papers produced by P Salvini. 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 P Salvini. The network helps show where P Salvini may publish in the future.
Co-authorship network of co-authors of P Salvini
This figure shows the co-authorship network connecting the top 25 collaborators of P Salvini.
A scholar is included among the top collaborators of P Salvini 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 P Salvini. P Salvini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Salvini, P, Ettore Pennestrı̀, C.G.M. van 't Klooster, et al.. (2014). Structural characterisation and modelling of metallic mesh material for large deployable reflectors. Data Archiving and Networked Services (DANS).3 indexed citations
12.
Salvini, P, et al.. (2012). Fatigue & Fracture of Engineering Materials and StructuresNew experimental set-up to approach pipeline fracture behaviour by three-point bending specimens. Cineca Institutional Research Information System (Tor Vergata University). 35(6). 572–793.13 indexed citations
13.
Salvini, P, et al.. (2009). Fatigue life assessment for multi-spot welded structures. Cineca Institutional Research Information System (Tor Vergata University). 31. 122–129.2 indexed citations
14.
Ruggieri, M., Mauro De Sanctis, Tommaso Rossi, et al.. (2008). The Flower Constellation Set and its Possible Applications. Cineca Institutional Research Information System (Tor Vergata University).8 indexed citations
Salvini, P, et al.. (1999). Fatigue strength of spot welded stainless steel components for railway carriages under operational loading conditions. Cineca Institutional Research Information System (Tor Vergata University). 1–157.1 indexed citations
D’Ambrogio, Walter, Annalisa Fregolent, & P Salvini. (1994). Reducing Noise Amplification Effects in the Direct Updating of Non Conservative Finite Element Models. Cineca Institutional Research Information System (Tor Vergata University). 2251. 738.1 indexed citations
20.
Brutti, C. & P Salvini. (1992). Dynamic behaviour of tubular threaded joints. Cineca Institutional Research Information System (Tor Vergata University).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.