Daniele Perito

About

Daniele Perito is a scholar working on Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Daniele Perito has authored 4 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 2 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Daniele Perito’s work include Advanced Malware Detection Techniques (3 papers), Security and Verification in Computing (2 papers) and Digital Communication and Language (1 paper). Daniele Perito is often cited by papers focused on Advanced Malware Detection Techniques (3 papers), Security and Verification in Computing (2 papers) and Digital Communication and Language (1 paper). Daniele Perito collaborates with scholars based in United States, France and United Kingdom. Daniele Perito's co-authors include Aurélien Francillon, Claude Castelluccia, Claudio Soriente, Mario Frank, Tomas Ros, Ivan Martinović, Dawn Song, John C. Mitchell, Elie Bursztein and Hristo S. Paskov and has published in prestigious journals such as IEEE Symposium on Security and Privacy, CiteSeer X (The Pennsylvania State University) and USENIX Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Daniele Perito i

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Fields of papers citing papers by Daniele Perito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Perito

Since Specialization

Citations

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

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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