Luca Canzian
- Applied Psychology top 2%
- Experimental and Cognitive Psychology top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Mirco MusolesiMihaela van der SchaarMichele ZorziLeonardo BadiaMatteo DanielettoGiorgio QuerUgur DemiryurekYu Zhang
- Topics
- Data Stream Mining Techniques (6 papers)Mobile Ad Hoc Networks (5 papers)GNSS positioning and interference (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingIEEE Transactions on Communications
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Luca Canzian
26 papers receiving 553 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Applied Psychology 202
- Experimental and Cognitive Psychology 191
- Computer Networks and Communications 131
- Electrical and Electronic Engineering 110
- Artificial Intelligence 79
Countries citing papers authored by Luca Canzian
This map shows the geographic impact of Luca Canzian'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 Luca Canzian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Canzian more than expected).
Fields of papers citing papers by Luca Canzian
This network shows the impact of papers produced by Luca Canzian. 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 Luca Canzian. The network helps show where Luca Canzian may publish in the future.
Co-authorship network of co-authors of Luca Canzian
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Canzian. A scholar is included among the top collaborators of Luca Canzian 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 Luca Canzian. Luca Canzian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 0 | |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 2 |
About Luca Canzian
Luca Canzian is a scholar working on Computer Networks and Communications, Aerospace Engineering and Management Science and Operations Research, having authored 29 papers that have together received 567 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (6 papers), Mobile Ad Hoc Networks (5 papers) and GNSS positioning and interference (5 papers). The work is most often cited by research in Applied Psychology (202 citations), Experimental and Cognitive Psychology (191 citations) and Transportation (61 citations). Luca Canzian has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mirco Musolesi, Mihaela van der Schaar, Michele Zorzi, Leonardo Badia, Matteo Danieletto, Giorgio Quer, Ugur Demiryurek, Yu Zhang, William R. Zame and Yuanzhang Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.
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.