Countries citing papers authored by Marco Gaboardi
Since
Specialization
Citations
This map shows the geographic impact of Marco Gaboardi'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 Marco Gaboardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Gaboardi more than expected).
This network shows the impact of papers produced by Marco Gaboardi. 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 Marco Gaboardi. The network helps show where Marco Gaboardi may publish in the future.
Co-authorship network of co-authors of Marco Gaboardi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Gaboardi.
A scholar is included among the top collaborators of Marco Gaboardi 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 Marco Gaboardi. Marco Gaboardi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Balle, Borja, et al.. (2019). Hypothesis testing interpretations and Renyi differential privacy. Tokyo Tech Research Repository (Tokyo Institute of Technology). 2496–2506.2 indexed citations
5.
Gaboardi, Marco, et al.. (2019). The Complexity of Verifying Circuits as Differentially Private.. arXiv (Cornell University).1 indexed citations
6.
Wood, Alexandra, Micah Altman, Mark Bun, et al.. (2018). Differential Privacy: A Primer for a Non-Technical Audience. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 21(1). 209.13 indexed citations
7.
Amorim, Arthur Azevedo de, Marco Gaboardi, Justin Hsu, & Shin-ya Katsumata. (2018). Metric Semantics for Probabilistic Relational Reasoning.. arXiv (Cornell University).2 indexed citations
8.
Barthe, Gilles, et al.. (2018). Monadic refinements for relational cost analysis. MPG.PuRe (Max Planck Society).7 indexed citations
9.
Nissim, Kobbi, Alexandra Wood, Mark Bun, et al.. (2018). Bridging the Gap between Computer Science and Legal Approaches to Privacy. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 31(2). 687.24 indexed citations
10.
Balle, Borja, Gilles Barthe, & Marco Gaboardi. (2018). Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. arXiv (Cornell University). 31. 6277–6287.25 indexed citations
11.
Wang, Di, Marco Gaboardi, & Jinhui Xu. (2018). Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited. Neural Information Processing Systems. 31. 965–974.16 indexed citations
Lago, Ugo Dal, et al.. (2011). LINEAR DEPENDENT TYPES AND RELATIVE COMPLETENESS ˚.38 indexed citations
20.
Gaboardi, Marco & Simona Ronchi Della Rocca. (2007). A soft type assignment system for &lambda-calculus. 253–267.11 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.