Laura Luzzi

587 citations
30 papers · 255 · h-index 9

Impact in

Papers in

Laura Luzzi

27 papers receiving 242 citations

Peers

Laura Luzzi
Comparison fields: 5 of 34
  • Computer Networks and Communications 147
  • Artificial Intelligence 116
  • Electrical and Electronic Engineering 187
  • Mathematical Physics 24
  • Computational Theory and Mathematics 33
Replace J.R. Roche with:
J.R. Roche United States
Avraham Ben-Aroya Israel
Maximilien Gadouleau United Kingdom
David Karpuk Finland
Charilaos Efthymiou Germany
Gil I. Shamir United States
Kohichi Sakaniwa Japan
Hsiao-feng Lu Taiwan
Mohammad Hossein Yassaee Iran
Laura Luzzi relative to J.R. Roche United States J.R. Roche's profile →
Citations per field
00.5×4.8×
J.R. Roche · 1×
Citations per year

Countries citing papers authored by Laura Luzzi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Luzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Luzzi, 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 Laura Luzzi Line = papers co-authored together Laura Luzzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014105
2 200821
3 201318
4 201114
5 200914
6 201010
7 20129
8 20098
9 20208
10 20237
11 20106
12 20214
13 20174
14 20083
15 20242
16 20232
17 20212
18 20182
19 20102
20 20172

About Laura Luzzi

Laura Luzzi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (13 papers), Coding theory and cryptography (13 papers), Wireless Communication Security Techniques (11 papers), Cooperative Communication and Network Coding (11 papers), Error Correcting Code Techniques (7 papers), DNA and Biological Computing (5 papers), Cryptography and Data Security (4 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Computer Networks and Communications (147 citations), Artificial Intelligence (116 citations), Electrical and Electronic Engineering (187 citations), Mathematical Physics (24 citations) and Computational Theory and Mathematics (33 citations). Laura Luzzi has collaborated with scholars based in France, United Kingdom and Finland. Frequent co-authors include Cong Ling, Jean‐Claude Belfiore, Damien Stehlé, Ghaya Rekaya-Ben Othman, Stefano Marmi, Jean-Claude Belfiore, Frédérique Oggier, Matthieu R. Bloch, Emanuele Viterbo and Roope Vehkalahti. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Approximation Theory, Advances in Mathematics of Communications, Atmosphere and Discrete and Continuous Dynamical 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.

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