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.
MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention
2016300 citationsAndrea Saracino, Gianluca Dini et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Gianluca Dini'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 Gianluca Dini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Dini more than expected).
This network shows the impact of papers produced by Gianluca Dini. 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 Gianluca Dini. The network helps show where Gianluca Dini may publish in the future.
Co-authorship network of co-authors of Gianluca Dini
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Dini.
A scholar is included among the top collaborators of Gianluca Dini 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 Gianluca Dini. Gianluca Dini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dini, Gianluca, et al.. (2013). SecDEv: Secure Distance Evaluation in Wireless Networks. CINECA IRIS Institutial research information system (University of Pisa). 207–212.8 indexed citations
9.
Dini, Gianluca, et al.. (2012). On preventing GTS-based Denial of Service in IEEE 802.15.4. CINECA IRIS Institutial research information system (University of Pisa).1 indexed citations
10.
Caiti, Andrea, Gianluca Dini, Angelica Lo Duca, & Andrea Munafò. (2011). Secure Cooperation of Mobile Sensors in an Underwater Acoustic Network. CINECA IRIS Institutial research information system (University of Pisa). 1–2.1 indexed citations
Dini, Gianluca, et al.. (2006). Scalable and secure group rekeying in wireless sensor networks. CINECA IRIS Institutial research information system (University of Pisa). 84–88.
13.
Dini, Gianluca, et al.. (2006). An overview of VOAC, a virtual organizations access control infrastructure. 29–34.1 indexed citations
14.
Bernardeschi, Cinzia, Gianluca Dini, & Andrea Domenici. (2005). FACT: a Tool for Code Generation from Communicating Automata. International Conference on Software Engineering. 1. 313–318.
15.
Babaoğlu, Özalp, Alberto Bartoli, & Gianluca Dini. (2002). On programming with view synchrony. CINECA IRIS Institutial research information system (University of Pisa). 3–10.3 indexed citations
Dini, Gianluca, et al.. (1999). Recoverable-Persistence in a Distributed single Address Space. CINECA IRIS Institutial research information system (University of Pisa). 477–480.4 indexed citations
19.
Dini, Gianluca, et al.. (1999). Implementing a Distributed Single Address Space in the Presence of Failures.. CINECA IRIS Institutial research information system (University of Pisa). 1. 355–361.4 indexed citations
20.
Mullender, Sape J., Paul Havinga, Gunnar Hartvigsen, et al.. (1998). The MobyDick architecture. University of Twente Research Information.
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.