Sara Tucci-Piergiovanni
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Roberto BaldoniLeonardo QuerzoniRoberto BeraldiSébastien GérardAntonino VirgillitoChokri MraidhaVivien QuémaAngelo Corsaro
- Topics
- Distributed systems and fault tolerance (22 papers)Peer-to-Peer Network Technologies (12 papers)Real-Time Systems Scheduling (12 papers)
In The Last Decade
Sara Tucci-Piergiovanni
47 papers receiving 457 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 313
- Information Systems 127
- Hardware and Architecture 126
- Artificial Intelligence 99
- Computational Theory and Mathematics 69
Countries citing papers authored by Sara Tucci-Piergiovanni
This map shows the geographic impact of Sara Tucci-Piergiovanni'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 Sara Tucci-Piergiovanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Tucci-Piergiovanni more than expected).
Fields of papers citing papers by Sara Tucci-Piergiovanni
This network shows the impact of papers produced by Sara Tucci-Piergiovanni. 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 Sara Tucci-Piergiovanni. The network helps show where Sara Tucci-Piergiovanni may publish in the future.
Co-authorship network of co-authors of Sara Tucci-Piergiovanni
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Tucci-Piergiovanni. A scholar is included among the top collaborators of Sara Tucci-Piergiovanni 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 Sara Tucci-Piergiovanni. Sara Tucci-Piergiovanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 34 | |
| 9 | Quality of service in publish/subscribe middleware | 25 |
| 10 | 22 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 87 | |
| 14 | 5 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | A Three-tier Active Replication Protocol for Large Scale Distributed Systems ∗ | 2 |
| 19 | 11 | |
| 20 | An Implementation of Causal Memories using the Writing Semantic. | 2 |
About Sara Tucci-Piergiovanni
Sara Tucci-Piergiovanni is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 50 papers that have together received 487 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (22 papers), Peer-to-Peer Network Technologies (12 papers) and Real-Time Systems Scheduling (12 papers). The work is most often cited by research in Hardware and Architecture (126 citations), Computer Networks and Communications (313 citations) and Software (44 citations). Sara Tucci-Piergiovanni has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Roberto Baldoni, Leonardo Querzoni, Roberto Beraldi, Sébastien Gérard, Antonino Virgillito, Chokri Mraidha, Vivien Quéma, Angelo Corsaro, Carlo Marchetti and François Terrier. Their work appears in journals such as Review of Financial Studies, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.
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.