Francesco Vacirca
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Agronomy and Crop Science top 10%
- Co-authors
- Andrea BaiocchiFabio RicciatoDavide LeniRocco CorsoA. BagnatoChristian MalteccaA.B. SamoréDavide Fior
- Topics
- Network Traffic and Congestion Control (13 papers)Wireless Networks and Protocols (9 papers)Advanced Wireless Network Optimization (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceMedicine
- Partner nations
- ItalyAustriaUnited States
In The Last Decade
Francesco Vacirca
38 papers receiving 393 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 166
- Electrical and Electronic Engineering 117
- Surgery 90
- Radiology, Nuclear Medicine and Imaging 58
- Agronomy and Crop Science 48
Countries citing papers authored by Francesco Vacirca
This map shows the geographic impact of Francesco Vacirca'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 Francesco Vacirca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Vacirca more than expected).
Fields of papers citing papers by Francesco Vacirca
This network shows the impact of papers produced by Francesco Vacirca. 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 Francesco Vacirca. The network helps show where Francesco Vacirca may publish in the future.
Co-authorship network of co-authors of Francesco Vacirca
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Vacirca. A scholar is included among the top collaborators of Francesco Vacirca 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 Francesco Vacirca. Francesco Vacirca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | 29 | |
| 17 | An Analytical Approach to Characterize the Service Process and the Tradeoff between Throughput and Service Time Burstiness in IEEE 802.11 DCF | 1 |
| 18 | Experimental results on the support of TCP over 802.11b: an insight into fairness issues | 6 |
| 19 | Experimental Analysis of TCP and UDP Traffic Performance over Infra-structured 802.11b WLANs | 12 |
| 20 | 8 |
About Francesco Vacirca
Francesco Vacirca is a scholar working on Internal Medicine, Computer Networks and Communications and Hepatology, having authored 43 papers that have together received 419 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (13 papers), Wireless Networks and Protocols (9 papers) and Advanced Wireless Network Optimization (8 papers). The work is most often cited by research in Computer Networks and Communications (166 citations), Internal Medicine (25 citations) and Agronomy and Crop Science (48 citations). Francesco Vacirca has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Andrea Baiocchi, Fabio Ricciato, Davide Leni, Rocco Corso, A. Bagnato, Christian Maltecca, A.B. Samoré, Davide Fior, Philipp Svoboda and Fabio Pagni. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Medicine.
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.