François Taı̈ani
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 5%
- Software top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Gordon S. BlairGeoff CoulsonPaul GraceJó UeyamaAckbar JooliaThirunavukkarasu SivaharanKevin LeeAlessandro Garcia
- Topics
- Distributed systems and fault tolerance (17 papers)Advanced Software Engineering Methodologies (17 papers)Peer-to-Peer Network Technologies (11 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
François Taı̈ani
48 papers receiving 490 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 340
- Information Systems 250
- Artificial Intelligence 241
- Software 58
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by François Taı̈ani
This map shows the geographic impact of François Taı̈ani'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 François Taı̈ani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Taı̈ani more than expected).
Fields of papers citing papers by François Taı̈ani
This network shows the impact of papers produced by François Taı̈ani. 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 François Taı̈ani. The network helps show where François Taı̈ani may publish in the future.
Co-authorship network of co-authors of François Taı̈ani
This figure shows the co-authorship network connecting the top 25 collaborators of François Taı̈ani. A scholar is included among the top collaborators of François Taı̈ani 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 François Taı̈ani. François Taı̈ani 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 30 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 37 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 10 |
About François Taı̈ani
François Taı̈ani is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 56 papers that have together received 522 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (17 papers), Advanced Software Engineering Methodologies (17 papers) and Peer-to-Peer Network Technologies (11 papers). The work is most often cited by research in Software (58 citations), Computer Networks and Communications (340 citations) and Information Systems (250 citations). François Taı̈ani has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Gordon S. Blair, Geoff Coulson, Paul Grace, Jó Ueyama, Ackbar Joolia, Thirunavukkarasu Sivaharan, Kevin Lee, Alessandro Garcia, Fabiano Cutigi Ferrari and Anne-Marie Kermarrec. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Knowledge and Data Engineering 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.