Lorenzo Grassi

17 papers and 152 indexed citations i.

About

Lorenzo Grassi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lorenzo Grassi has authored 17 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lorenzo Grassi’s work include Coding theory and cryptography (11 papers), Cryptographic Implementations and Security (10 papers) and Cryptography and Data Security (7 papers). Lorenzo Grassi is often cited by papers focused on Coding theory and cryptography (11 papers), Cryptographic Implementations and Security (10 papers) and Cryptography and Data Security (7 papers). Lorenzo Grassi collaborates with scholars based in Austria, The Netherlands and Italy. Lorenzo Grassi's co-authors include Christian Rechberger, U. Aglietti, E. Remiddi, Roberto Bonciani, Markus Schofnegger, Sondre Rønjom, Dmitry Khovratovich, Arnab Roy, Rodolfo Guzzi and Peter Schöll and has published in prestigious journals such as Nuclear Physics B, Designs Codes and Cryptography and IACR Transactions on Cryptographic Hardware and Embedded Systems.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Grassi i

Fields of papers citing papers by Lorenzo Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Grassi

Since Specialization
Citations

This map shows the geographic impact of Lorenzo Grassi'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 Lorenzo Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Grassi 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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2025