Elena Ferrari

485 total papers · 10.2k total citations
268 papers, 5.6k citations indexed

About

Elena Ferrari is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Elena Ferrari has authored 268 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Artificial Intelligence, 146 papers in Sociology and Political Science and 103 papers in Information Systems. Recurrent topics in Elena Ferrari's work include Access Control and Trust (121 papers), Cryptography and Data Security (62 papers) and Privacy-Preserving Technologies in Data (60 papers). Elena Ferrari is often cited by papers focused on Access Control and Trust (121 papers), Cryptography and Data Security (62 papers) and Privacy-Preserving Technologies in Data (60 papers). Elena Ferrari collaborates with scholars based in Italy, United States and Brazil. Elena Ferrari's co-authors include Elisa Bertino, Barbara Carminati, Piero A. Bonatti, Pietro Colombo, Vijayalakshmi Atluri, Silvana Castano, Andrea Perego, Anna Squicciarini, Pierangela Samarati and M. Knobel and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Elena Ferrari

249 papers receiving 5.1k citations

Author Peers

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

Author Last Decade Papers Cites
Elena Ferrari 3.3k 3.3k 2.3k 1.6k 404 268 5.6k
Stefan Decker 4.4k 1.3× 509 0.2× 3.0k 1.3× 2.1k 1.3× 433 1.1× 288 7.3k
Lu Liu 1.9k 0.6× 400 0.1× 2.3k 1.0× 2.9k 1.8× 164 0.4× 486 6.5k
Jimmy Xiangji Huang 3.6k 1.1× 371 0.1× 1.7k 0.8× 439 0.3× 121 0.3× 408 7.1k
Max Mühlhäuser 1.3k 0.4× 669 0.2× 1.3k 0.6× 1.8k 1.1× 64 0.2× 585 6.3k
Dongwon Lee 2.9k 0.9× 1.8k 0.6× 2.3k 1.0× 858 0.5× 188 0.5× 248 5.2k
Vicenç Torra 3.2k 1.0× 619 0.2× 562 0.2× 245 0.2× 95 0.2× 382 8.8k
Bu‐Sung Lee 1.4k 0.4× 301 0.1× 2.3k 1.0× 3.3k 2.1× 150 0.4× 369 7.0k
Kai Hwang 1.8k 0.5× 481 0.1× 1.5k 0.7× 3.2k 2.0× 116 0.3× 142 5.7k
Stephen J.H. Yang 1.0k 0.3× 554 0.2× 2.5k 1.1× 560 0.3× 188 0.5× 180 6.4k
Li Xiong 3.5k 1.1× 2.5k 0.8× 1.3k 0.6× 1.6k 1.0× 81 0.2× 266 6.7k

Countries citing papers authored by Elena Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Elena Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Ferrari. A scholar is included among the top collaborators of Elena Ferrari 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 Elena Ferrari. Elena Ferrari 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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2026