Edoardo Persichetti

1.1k citations
45 papers · 479 · h-index 13

Impact in

Papers in

Edoardo Persichetti

42 papers receiving 470 citations

Peers

Edoardo Persichetti
Comparison fields: 5 of 30
  • Artificial Intelligence 417
  • Computational Theory and Mathematics 92
  • Computer Vision and Pattern Recognition 80
  • Information Systems 81
  • Computer Networks and Communications 80
Replace Paolo Santini with:
Paolo Santini Italy
Ward Beullens Belgium
Noah Stephens-Davidowitz United States
Pierre-Louis Cayrel France
Jean‐François Biasse United States
Divesh Aggarwal Singapore
Daniel Augot France
Carlos Aguilar Melchor France
Dingyi Pei China
Massimiliano Sala Italy
Edoardo Persichetti relative to Paolo Santini Italy Paolo Santini's profile →
Citations per field
00.5×2×4×6.5×
Paolo Santini · 1×
Citations per year

Countries citing papers authored by Edoardo Persichetti

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Persichetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edoardo Persichetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edoardo Persichetti Line = papers co-authored together Edoardo Persichetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202048
3 202143
4 201230
5 202230
6 202325
7 201221
8 202219
9 202218
10 201318
11 201718
12 201817
13 202312
14 202212
15 201912
16 201811
17 20247
18 20197
19 20196
20 20186

About Edoardo Persichetti

Edoardo Persichetti is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 45 papers that have together received 479 indexed citations. Recurring topics across this work include Coding theory and cryptography (35 papers), Cryptography and Data Security (20 papers), Cryptographic Implementations and Security (17 papers), graph theory and CDMA systems (15 papers), Chaos-based Image/Signal Encryption (9 papers), DNA and Biological Computing (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Error Correcting Code Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (417 citations), Computational Theory and Mathematics (92 citations), Computer Vision and Pattern Recognition (80 citations), Information Systems (81 citations) and Computer Networks and Communications (80 citations). Edoardo Persichetti has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Paolo Santini, Jean‐François Biasse, Alessandro Barenghi, Shay Gueron, Andreas Hülsing, Kathrin Hövelmanns, Mike Hamburg, Nina Bindel, Pierre-Louis Cayrel and Simona Samardjiska. Their work appears in journals such as Advances in Mathematics of Communications, Journal of Mathematical Cryptology, Lecture notes in computer science, Designs Codes and Cryptography and IACR Transactions on Cryptographic Hardware and Embedded Systems.

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.

Explore authors with similar magnitude of impact