Fabio Picconi
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Information Systems
- Co-authors
- Laurent MassouliéLiviu IftodeNishkam RaviMarco GruteserChristophe DiotErnst W. BiersackMatteo VarvelloWenjie Jiang
- Topics
- Caching and Content Delivery (7 papers)Peer-to-Peer Network Technologies (6 papers)Advanced Data Storage Technologies (2 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Journals
- ACM SIGCOMM Computer Communication ReviewHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceUnited States
In The Last Decade
Fabio Picconi
8 papers receiving 253 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 224
- Electrical and Electronic Engineering 73
- Computer Vision and Pattern Recognition 44
- Artificial Intelligence 35
- Information Systems 22
Countries citing papers authored by Fabio Picconi
This map shows the geographic impact of Fabio Picconi'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 Fabio Picconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Picconi more than expected).
Fields of papers citing papers by Fabio Picconi
This network shows the impact of papers produced by Fabio Picconi. 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 Fabio Picconi. The network helps show where Fabio Picconi may publish in the future.
Co-authorship network of co-authors of Fabio Picconi
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Picconi. A scholar is included among the top collaborators of Fabio Picconi 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 Fabio Picconi. Fabio Picconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 39 | |
| 3 | 3 | |
| 4 | 37 | |
| 5 | 44 | |
| 6 | 61 | |
| 7 | An experimental evaluation of the Pastis peer-to-peer file system under churn | 0 |
| 8 | 72 | |
| 9 | 2 |
About Fabio Picconi
Fabio Picconi is a scholar working on Computer Networks and Communications, Transportation and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 270 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Peer-to-Peer Network Technologies (6 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (224 citations), Computer Vision and Pattern Recognition (44 citations) and Signal Processing (15 citations). Fabio Picconi has collaborated with scholars based in France and United States. Frequent co-authors include Laurent Massoulié, Liviu Iftode, Nishkam Ravi, Marco Gruteser, Christophe Diot, Ernst W. Biersack, Matteo Varvello, Wenjie Jiang, Stratis Ioannidis and Martin May. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and HAL (Le Centre pour la Communication Scientifique Directe).
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.