Roberto Avanzi

1.1k citations
21 papers · 219 indexed · h-index 9

Roberto Avanzi

18 papers receiving 205 citations

Peers

Roberto Avanzi
Comparison fields: 5 of 25
  • Artificial Intelligence 173
  • Hardware and Architecture 32
  • Geometry and Topology 38
  • Computer Vision and Pattern Recognition 61
  • Signal Processing 27
Replace Avishek Adhikari with:
Avishek Adhikari India
Carlos Cid United Kingdom
Maozhi Xu China
Christina Boura France
David Lubicz France
Young-Ho Park South Korea
Abderrahmane Nitaj France
Emmanuel Thomé France
Murat Cenk Türkiye
Helmut Knebl Germany
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Citations per year

Countries citing papers authored by Roberto Avanzi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Avanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Roberto Avanzi, 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 Roberto Avanzi Line = papers co-authored together Roberto Avanzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20239
3 20221
4 201710
5 201785
6
Handbook of Elliptic and Hyperelliptic Curve Cryptography, Second Edition
20122
7 20101
8 20108
9
Trace Zero Varieties in Pairing-based Cryptography
20101
10 20102
11 20091
12 200921
13 20084
14 20081
15 20068
16 20052
17 200515
18 20042
19 200317
20 200113

About Roberto Avanzi

Roberto Avanzi is a scholar working on Geometry and Topology, Artificial Intelligence, Information Systems, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 219 indexed citations. Recurring topics across this work include Coding theory and cryptography (10 papers), Cryptography and Residue Arithmetic (9 papers), Algebraic Geometry and Number Theory (7 papers), Cryptographic Implementations and Security (6 papers), Cryptography and Data Security (5 papers), Chaos-based Image/Signal Encryption (5 papers), Advanced Differential Equations and Dynamical Systems (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Hardware and Architecture (32 citations), Geometry and Topology (38 citations), Computer Vision and Pattern Recognition (61 citations) and Signal Processing (27 citations). Roberto Avanzi has collaborated with scholars based in Germany, Canada and Austria. Frequent co-authors include Umberto Zannier, Clemens Heuberger, Helmut Prodinger, Howard M. Heys, Michael Tunstall, Daniel Page, Nicolas Thériault, Orr Dunkelman, Subhadeep Banik and Michael J. Jacobson. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, Compositio Mathematica, Algorithmica and Acta Arithmetica.

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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