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.
Detecting spammers on social networks
2010516 citationsGianluca Stringhini, Christopher Kruegel et al.profile →
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
2018343 citationsIlias Leontiadis, Jeremy Blackburn et al.profile →
MaMaDroid
2019209 citationsEnrico Mariconti, Emiliano De Cristofaro et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gianluca Stringhini
Since
Specialization
Citations
This map shows the geographic impact of Gianluca Stringhini'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 Stringhini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Stringhini more than expected).
Fields of papers citing papers by Gianluca Stringhini
This network shows the impact of papers produced by Gianluca Stringhini. 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 Stringhini. The network helps show where Gianluca Stringhini may publish in the future.
Co-authorship network of co-authors of Gianluca Stringhini
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Stringhini.
A scholar is included among the top collaborators of Gianluca Stringhini 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 Stringhini. Gianluca Stringhini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ribeiro, Manoel Horta, Shagun Jhaver, Savvas Zannettou, et al.. (2021). Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels. UCL Discovery (University College London).13 indexed citations
11.
Alsoubai, Ashwaq, Afsaneh Razi, Seung-Hyun Kim, et al.. (2021). Instagram Data Donation: A Case for Partnering with Social Media Platforms to Protect Adolescents Online. SSRN Electronic Journal.1 indexed citations
12.
Ribeiro, Manoel Horta, Jeremy Blackburn, Barry Bradlyn, et al.. (2020). The Evolution of the Manosphere Across the Web. MPG.PuRe (Max Planck Society).81 indexed citations
13.
Edwards, Matthew, Guillermo Suárez‐Tangil, Claudia Peersman, et al.. (2018). The Geography of Online Dating Fraud. Research Portal (King's College London).9 indexed citations
14.
Mariconti, Enrico, Jeremiah Onaolapo, Gordon J. Ross, & Gianluca Stringhini. (2017). The Cause of All Evils: Assessing Causality Between User Actions and Malware Activity. Edinburgh Research Explorer.1 indexed citations
15.
Hine, Gabriel Emile, Jeremiah Onaolapo, Emiliano De Cristofaro, et al.. (2016). A Longitudinal Measurement Study of 4chan's Politically Incorrect Forum and its Effect on the Web.. arXiv (Cornell University).8 indexed citations
16.
Egele, Manuel, Gianluca Stringhini, Christopher Kruegel, & Giovanni Vigna. (2015). Towards Detecting Compromised Accounts on Social Networks. IEEE Transactions on Dependable and Secure Computing. 14(4). 447–460.113 indexed citations
17.
Egele, Manuel, Gianluca Stringhini, Christopher Krügel, & Giovanni Vigna. (2013). COMPA: Detecting Compromised Accounts on Social Networks.. UCL Discovery (University College London).178 indexed citations
Stringhini, Gianluca, Thorsten Holz, Brett Stone-Gross, Christopher Kruegel, & Giovanni Vigna. (2011). BOTMAGNIFIER: locating spambots on the internet. UCL Discovery (University College London). 28–28.27 indexed citations
20.
Stone-Gross, Brett, Thorsten Holz, Gianluca Stringhini, & Giovanni Vigna. (2011). The underground economy of spam: a botmaster's perspective of coordinating large-scale spam campaigns. 4–4.102 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.