Bernardo Magri

1.1k citations
8 papers · 432 indexed · 1 hit paper · h-index 5

Bernardo Magri

8 papers receiving 415 citations

Hit Papers

Redactable Blockchain – or – Rewriting History in Bitcoin...252201720262020202350100150200250

Peers

Bernardo Magri
Comparison fields: 5 of 32
  • Information Systems 381
  • Artificial Intelligence 265
  • Computer Networks and Communications 142
  • Management Information Systems 22
  • Computer Vision and Pattern Recognition 44
Replace Ewerton R. Andrade with:
Ewerton R. Andrade Brazil
Sri Aravinda Krishnan Thyagarajan Germany
Fabrice Benhamouda United States
Jacob Eberhardt Germany
Qiang Tang Australia
Foteini Baldimtsi United States
Daniel Malinowski Poland
Huilin Li China
Ranjit Kumaresan United States
Bernardo Magri relative to Ewerton R. Andrade Brazil Ewerton R. Andrade's profile →
Citations per field
00.5×1.6×
Ewerton R. Andrade · 1×
Citations per year

Countries citing papers authored by Bernardo Magri

Since Specialization
Citations

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

Fields of papers citing papers by Bernardo Magri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Bernardo Magri, 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 Bernardo Magri Line = papers co-authored together Bernardo Magri links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20231
2 20221
3 202216
4 20201
5 20207
6 2019121
7
Redactable Blockchain – or – Rewriting History in Bitcoin and Friendsbreakdown →
2017252
8 201533

About Bernardo Magri

Bernardo Magri is a scholar working on Toxicology, Artificial Intelligence and Information Systems, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Cryptographic Implementations and Security (3 papers), Blockchain Technology Applications and Security (3 papers), Privacy-Preserving Technologies in Data (2 papers), Cloud Data Security Solutions (2 papers), Complexity and Algorithms in Graphs (1 paper), Peer-to-Peer Network Technologies (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Information Systems (381 citations), Artificial Intelligence (265 citations) and Computer Networks and Communications (142 citations). Bernardo Magri has collaborated with scholars based in Denmark, Italy and United Kingdom. Frequent co-authors include Daniele Venturi, Giuseppe Ateniese, Ewerton R. Andrade, Sri Aravinda Krishnan Thyagarajan, Bernardo David, Jesper Buus Nielsen, Daniel Tschudi, Chaya Ganesh, Dominique Schröder and Giulio Malavolta. Their work appears in journals such as Journal of Cryptology, Research Explorer (The University of Manchester) and arXiv (Cornell University).

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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