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.
QSARINS: A new software for the development, analysis, and validation of QSAR MLR models
2013589 citationsPaola Gramatica, Nicola Chirico et al.Journal of Computational Chemistryprofile →
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 Cassani
Since
Specialization
Citations
This map shows the geographic impact of Stefano Cassani'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 Cassani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Cassani more than expected).
This network shows the impact of papers produced by Stefano Cassani. 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 Cassani. The network helps show where Stefano Cassani may publish in the future.
Co-authorship network of co-authors of Stefano Cassani
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Cassani.
A scholar is included among the top collaborators of Stefano Cassani 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 Cassani. Stefano Cassani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Piancastelli, Luca & Stefano Cassani. (2020). Energy transfer from airborne high altitude wind turbines: Part III. performance evaluation of a small, mass-produced, fixed wing generator. 15(12). 1355–1365.1 indexed citations
3.
Piancastelli, Luca & Stefano Cassani. (2019). Energy transfer from airborne high altitude wind turbines: Part II performance evaluation of a autogiro-generator. 14(17). 2972–2979.4 indexed citations
4.
Piancastelli, Luca, et al.. (2019). Study and optimization of advanced heat sinks for processors. Cineca Institutional Research Information System (Tor Vergata University). 14(5). 1082–1088.3 indexed citations
Piancastelli, Luca, et al.. (2018). Intake and exhaust position optimization in the cooling duct of diesel helicopters. Cineca Institutional Research Information System (Tor Vergata University). 13(17). 4811–4819.5 indexed citations
7.
Piancastelli, Luca, et al.. (2018). Feasibility study and preliminary design of a Ram-Pulsejet for hypersonic passenger Air Transport. Cineca Institutional Research Information System (Tor Vergata University). 13(20). 8356–8365.6 indexed citations
8.
Piancastelli, Luca, et al.. (2018). The decisive advantage of CRDID on spark-ignition piston engines for general aviation: Propeller and engine matching for a specific aircraft. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 13(13). 4244–4252.4 indexed citations
Chirico, Nicola, Ester Papa, Simona Kovarich, Stefano Cassani, & Paola Gramatica. (2012). QSARINS-Software for QSAR MLR model development and validation.22 indexed citations
20.
Cassani, Stefano, et al.. (1973). [Apparatus after-control in urinary incontinence surgery].. PubMed. 13. Suppl 1:101–2.1 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.