Paolo Perlasca

34 total papers · 1.0k total citations
20 papers, 587 citations indexed

About

Paolo Perlasca is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Paolo Perlasca has authored 20 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 7 papers in Molecular Biology. Recurrent topics in Paolo Perlasca's work include Access Control and Trust (7 papers), Bioinformatics and Genomic Networks (6 papers) and Cryptography and Data Security (5 papers). Paolo Perlasca is often cited by papers focused on Access Control and Trust (7 papers), Bioinformatics and Genomic Networks (6 papers) and Cryptography and Data Security (5 papers). Paolo Perlasca collaborates with scholars based in Italy, United States and Switzerland. Paolo Perlasca's co-authors include Elisa Bertino, Barbara Catania, Maria Luisa Damiani, Elena Ferrari, Marco Mesiti, Giorgio Valentini, Ernesto Jiménez-Ruiz, Rafael Berlanga, Ismael Sanz and David Manset and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Paolo Perlasca

17 papers receiving 554 citations

Author Peers

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

Author Last Decade Papers Cites
Paolo Perlasca 441 441 187 155 36 20 587
Lujun Fang 232 0.5× 405 0.9× 205 1.1× 97 0.6× 46 1.3× 15 658
Smriti Bhagat 208 0.5× 356 0.8× 207 1.1× 77 0.5× 32 0.9× 18 603
Yosi Mass 197 0.4× 450 1.0× 274 1.5× 238 1.5× 68 1.9× 41 681
Feng Xu 136 0.3× 251 0.6× 303 1.6× 148 1.0× 67 1.9× 44 541
John Barkley 509 1.2× 417 0.9× 248 1.3× 163 1.1× 11 0.3× 19 609
Qun Ni 392 0.9× 377 0.9× 188 1.0× 113 0.7× 18 0.5× 18 578
Fergal Reid 63 0.1× 237 0.5× 341 1.8× 165 1.1× 54 1.5× 10 602
Engin Demir 69 0.2× 392 0.9× 227 1.2× 64 0.4× 34 0.9× 13 565
Donald Eastlake 167 0.4× 220 0.5× 254 1.4× 258 1.7× 36 1.0× 18 509
Carl Ellison 307 0.7× 338 0.8× 255 1.4× 214 1.4× 50 1.4× 18 563

Countries citing papers authored by Paolo Perlasca

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Perlasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Perlasca

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Perlasca. A scholar is included among the top collaborators of Paolo Perlasca 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 Paolo Perlasca. Paolo Perlasca 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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