Gianluca Lax
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Spam and Phishing Detection
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- Complex Network Analysis Techniques
Papers in
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- Cryptography and Data Security 28
- Privacy-Preserving Technologies in Data 22
- Internet Traffic Analysis and Secure E-voting 20
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- Caching and Content Delivery 16
- Peer-to-Peer Network Technologies 15
- Co-authors
- Francesco Buccafurri (92 shared papers)Antonino Nocera (38 shared papers)Serena Nicolazzo (24 shared papers)Domenico Ursino (17 shared papers)Lidia Fotia (12 shared papers)Giuseppe M. L. Sarnè (2 shared papers)Domenico Rosaci (7 shared papers)Vishal Saraswat (2 shared papers)
In The Last Decade
Gianluca Lax
98 papers receiving 967 citations
Peers
Comparison fields: 5 of 87
- Information Systems 472
- Statistical and Nonlinear Physics 204
- Computer Networks and Communications 344
- Artificial Intelligence 470
- Computer Science Applications 59
Countries citing papers authored by Gianluca Lax
This map shows the geographic impact of Gianluca Lax'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 Gianluca Lax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Lax more than expected).
Fields of papers citing papers by Gianluca Lax
This network shows the impact of papers produced by Gianluca Lax. 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 Gianluca Lax. The network helps show where Gianluca Lax may publish in the future.
Co-authors
The 25 scholars most cited alongside Gianluca Lax, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2012 | 47 | |
| 3 | 2012 | 46 | |
| 4 | 2022 | 45 | |
| 5 | 2015 | 38 | |
| 6 | 2017 | 36 | |
| 7 | 2017 | 34 | |
| 8 | 2013 | 32 | |
| 9 | 2015 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2008 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2015 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2022 | 16 |
About Gianluca Lax
Gianluca Lax is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 110 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cryptography and Data Security (28 papers), Privacy-Preserving Technologies in Data (22 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Caching and Content Delivery (16 papers), Complex Network Analysis Techniques (16 papers), Peer-to-Peer Network Technologies (15 papers), Blockchain Technology Applications and Security (14 papers) and Access Control and Trust (13 papers). The work is most often cited by research in Information Systems (472 citations), Statistical and Nonlinear Physics (204 citations), Computer Networks and Communications (344 citations), Artificial Intelligence (470 citations) and Computer Science Applications (59 citations). Gianluca Lax has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Francesco Buccafurri, Antonino Nocera, Serena Nicolazzo, Domenico Ursino, Lidia Fotia, Giuseppe M. L. Sarnè, Domenico Rosaci, Vishal Saraswat, Marco Fisichella and Domenico Saccà. Their work appears in journals such as Information Sciences, Data & Knowledge Engineering, Lecture notes in computer science, Applied Sciences and Electronic Government an International Journal.
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.