Alessandro Zanni
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Paolo BellavistaAntonio CorradiLuca FoschiniJavier BerrocalSajal K. DasStefan ForsströmUlf JennehagThomas Michael Bohnert
- Topics
- IoT and Edge/Fog Computing (7 papers)Context-Aware Activity Recognition Systems (5 papers)Caching and Content Delivery (3 papers)
- Journals
- Organic & Biomolecular ChemistryIEEE Transactions on Services ComputingPervasive and Mobile Computing
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
Alessandro Zanni
12 papers receiving 422 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 361
- Information Systems 170
- Electrical and Electronic Engineering 111
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 32
Countries citing papers authored by Alessandro Zanni
This map shows the geographic impact of Alessandro Zanni'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 Alessandro Zanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Zanni more than expected).
Fields of papers citing papers by Alessandro Zanni
This network shows the impact of papers produced by Alessandro Zanni. 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 Alessandro Zanni. The network helps show where Alessandro Zanni may publish in the future.
Co-authorship network of co-authors of Alessandro Zanni
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Zanni. A scholar is included among the top collaborators of Alessandro Zanni 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 Alessandro Zanni. Alessandro Zanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 200 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 6 | |
| 10 | 124 | |
| 11 | 1 | |
| 12 | 48 |
About Alessandro Zanni
Alessandro Zanni is a scholar working on Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 434 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (361 citations), Information Systems (170 citations) and Computer Science Applications (31 citations). Alessandro Zanni has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Paolo Bellavista, Antonio Corradi, Luca Foschini, Javier Berrocal, Sajal K. Das, Stefan Forsström, Ulf Jennehag, Thomas Michael Bohnert, Andy Edmonds and Francesco Fini. Their work appears in journals such as Organic & Biomolecular Chemistry, IEEE Transactions on Services Computing and Pervasive and Mobile Computing.
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.