Françoise Fabret
- Computer Networks and Communications top 2%
- Signal Processing top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Co-authors
- François LlirbatDennis ShashaJoão PereiraHans‐Arno JacobsenKenneth A. RossMokrane BouzeghoubLuc BouganimPatrick Valduriez
- Topics
- Advanced Database Systems and Queries (10 papers)Data Management and Algorithms (7 papers)Semantic Web and Ontologies (5 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Françoise Fabret
13 papers receiving 492 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 498
- Signal Processing 212
- Information Systems 173
- Artificial Intelligence 134
- Management Science and Operations Research 39
Countries citing papers authored by Françoise Fabret
This map shows the geographic impact of Françoise Fabret'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 Françoise Fabret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Françoise Fabret more than expected).
Fields of papers citing papers by Françoise Fabret
This network shows the impact of papers produced by Françoise Fabret. 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 Françoise Fabret. The network helps show where Françoise Fabret may publish in the future.
Co-authorship network of co-authors of Françoise Fabret
This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Fabret. A scholar is included among the top collaborators of Françoise Fabret 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 Françoise Fabret. Françoise Fabret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Efficient Data and Program Integration Using Binding Patterns | 1 |
| 3 | 32 | |
| 4 | 4 | |
| 5 | 311 | |
| 6 | WebFilter: A High-throughput XML-based Publish and Subscribe System | 34 |
| 7 | 64 | |
| 8 | Publish/Subscribe on the Web at Extreme Speed | 32 |
| 9 | 1 | |
| 10 | Modeling the Data Warehouse Refreshment Process as a Workflow Application. | 48 |
| 11 | 4 | |
| 12 | 1 | |
| 13 | An Adaptive Algorithm for Incremental Evaluation of Production Rules in Databases | 15 |
About Françoise Fabret
Françoise Fabret is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 555 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Computer Networks and Communications (498 citations), Signal Processing (212 citations) and Information Systems (173 citations). Françoise Fabret has collaborated with scholars based in France, United States and Canada. Frequent co-authors include François Llirbat, Dennis Shasha, João Pereira, Hans‐Arno Jacobsen, Kenneth A. Ross, Mokrane Bouzeghoub, Luc Bouganim, Patrick Valduriez, Eric Simon and C. Mohan. Their work appears in journals such as Journal of Neurophysiology, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.