Serena Nicolazzo
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics
- Co-authors
- Antonino NoceraFrancesco BuccafurriGianluca LaxLuca VirgiliDomenico UrsinoEnrico CorradiniMauro ContiP. Vinod
- Topics
- Privacy-Preserving Technologies in Data (10 papers)Mobile Crowdsensing and Crowdsourcing (5 papers)Blockchain Technology Applications and Security (5 papers)
In The Last Decade
Serena Nicolazzo
26 papers receiving 269 citations
Peers
Comparison fields: 5 of 55
- Information Systems 130
- Artificial Intelligence 114
- Computer Networks and Communications 78
- Sociology and Political Science 69
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Serena Nicolazzo
This map shows the geographic impact of Serena Nicolazzo'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 Serena Nicolazzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Nicolazzo more than expected).
Fields of papers citing papers by Serena Nicolazzo
This network shows the impact of papers produced by Serena Nicolazzo. 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 Serena Nicolazzo. The network helps show where Serena Nicolazzo may publish in the future.
Co-authorship network of co-authors of Serena Nicolazzo
This figure shows the co-authorship network connecting the top 25 collaborators of Serena Nicolazzo. A scholar is included among the top collaborators of Serena Nicolazzo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Serena Nicolazzo. Serena Nicolazzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 27 | |
| 14 | 23 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | A lightweight electronic signature scheme using Twitter. | 1 |
| 18 | 11 | |
| 19 | Generating K-Anonymous Logs of People Tracing Systems in Surveilled Environments. | 0 |
| 20 | 2 |
About Serena Nicolazzo
Serena Nicolazzo is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence, having authored 29 papers that have together received 286 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Information Systems (130 citations), Artificial Intelligence (114 citations) and Computer Networks and Communications (78 citations). Serena Nicolazzo has collaborated with scholars based in Italy, India and Finland. Frequent co-authors include Antonino Nocera, Francesco Buccafurri, Gianluca Lax, Luca Virgili, Domenico Ursino, Enrico Corradini, Mauro Conti, P. Vinod, Marco Ferretti and P. K. Vinod. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications and IEEE Access.
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.