Antonio Marcedone

16 total papers · 3.5k total citations
4 papers, 1.9k citations indexed

About

Antonio Marcedone is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Antonio Marcedone has authored 4 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Information Systems. Recurrent topics in Antonio Marcedone's work include Cryptography and Data Security (4 papers), Complexity and Algorithms in Graphs (2 papers) and graph theory and CDMA systems (1 paper). Antonio Marcedone is often cited by papers focused on Cryptography and Data Security (4 papers), Complexity and Algorithms in Graphs (2 papers) and graph theory and CDMA systems (1 paper). Antonio Marcedone collaborates with scholars based in United States, Denmark and Italy. Antonio Marcedone's co-authors include H. Brendan McMahan, Karn Seth, Keith Bonawitz, Aaron Segal, Ben Kreuter, Daniel Ramage, Vladimir Ivanov, Sarvar Patel, Carmit Hazay and Yuval Ishai and has published in prestigious journals such as IACR Cryptology ePrint Archive.

In The Last Decade

Antonio Marcedone

4 papers receiving 1.8k citations

Hit Papers

Practical Secure Aggregat... 2017 2026 2020 2023 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Antonio Marcedone 1.7k 233 225 196 193 4 1.9k
Ben Kreuter 1.8k 1.0× 234 1.0× 247 1.1× 205 1.0× 197 1.0× 4 1.9k
Karn Seth 1.8k 1.0× 234 1.0× 237 1.1× 203 1.0× 195 1.0× 7 1.9k
Keith Bonawitz 1.9k 1.1× 258 1.1× 241 1.1× 233 1.2× 215 1.1× 5 2.1k
Aaron Segal 1.7k 1.0× 233 1.0× 224 1.0× 196 1.0× 194 1.0× 10 1.9k
Vladimir Ivanov 1.7k 1.0× 233 1.0× 226 1.0× 338 1.7× 195 1.0× 12 2.0k
Sarvar Patel 1.9k 1.1× 236 1.0× 298 1.3× 316 1.6× 205 1.1× 17 2.2k
Stacey Truex 1.4k 0.8× 169 0.7× 156 0.7× 123 0.6× 184 1.0× 19 1.5k
Marco Stronati 2.0k 1.2× 178 0.8× 197 0.9× 151 0.8× 232 1.2× 6 2.2k
Paul Voigt 864 0.5× 74 0.3× 390 1.7× 182 0.9× 245 1.3× 4 1.5k
Axel von dem Bussche 866 0.5× 74 0.3× 392 1.7× 182 0.9× 249 1.3× 5 1.5k

Countries citing papers authored by Antonio Marcedone

Since Specialization
Citations

This map shows the geographic impact of Antonio Marcedone'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 Antonio Marcedone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Marcedone more than expected).

Fields of papers citing papers by Antonio Marcedone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Marcedone. 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 Antonio Marcedone. The network helps show where Antonio Marcedone may publish in the future.

Co-authorship network of co-authors of Antonio Marcedone

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Marcedone. A scholar is included among the top collaborators of Antonio Marcedone 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 Antonio Marcedone. Antonio Marcedone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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