Laboratoire d'Informatique Fondamentale de Lille
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Mobile Ad Hoc Networks
Papers in
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- Parallel Computing and Optimization Techniques 149
- Embedded Systems Design Techniques 108
- Software 120
- Model-Driven Software Engineering Techniques 85
- Top scholars
- El‐Ghazali TalbiJean‐Pierre HubauxMaxim RayaMohamed DaoudiMartijn StamChabane DjerabaGéry CasiezJ.F. Shao
- Journals
- Lecture notes in computer science (314 papers)Theoretical Computer Science (20 papers)Journal of Parallel and Distributed Computing (7 papers)Proceedings of the VLDB Endowment (7 papers)Parallel Computing (7 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Laboratoire d'Informatique Fondamentale de Lille
1.8k papers receiving 36.4k citations
Peers
Comparison fields: 5 of 228
- Hardware and Architecture 3.2k
- Computer Networks and Communications 10.3k
- Software 1.8k
- Computational Theory and Mathematics 5.7k
- Artificial Intelligence 11.4k
Countries citing scholars working at Laboratoire d'Informatique Fondamentale de Lille
This map shows the geographic impact of research produced by authors working at Laboratoire d'Informatique Fondamentale de Lille. 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 papers produced at Laboratoire d'Informatique Fondamentale de Lille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire d'Informatique Fondamentale de Lille more than expected).
Fields of papers published by authors at Laboratoire d'Informatique Fondamentale de Lille
This network shows the impact of papers affiliated with Laboratoire d'Informatique Fondamentale de Lille at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire d'Informatique Fondamentale de Lille at the time of their publication.
About Laboratoire d'Informatique Fondamentale de Lille
In recent decades, authors affiliated with Laboratoire d'Informatique Fondamentale de Lille have published 1.9k papers, which have received a total of 37.4k indexed citations . Scholars at this organization have produced 229 papers in Hardware and Architecture, 120 papers in Software, 552 papers in Computer Networks and Communications, 329 papers in Computational Theory and Mathematics and 629 papers in Artificial Intelligence on the topics of Parallel Computing and Optimization Techniques (149 papers), Advanced Software Engineering Methodologies (118 papers), Distributed and Parallel Computing Systems (118 papers), Service-Oriented Architecture and Web Services (114 papers), Embedded Systems Design Techniques (108 papers), Logic, programming, and type systems (106 papers), Formal Methods in Verification (95 papers) and Model-Driven Software Engineering Techniques (85 papers). Their work is cited by papers focused on Hardware and Architecture (3.2k citations), Computer Networks and Communications (10.3k citations), Software (1.8k citations), Computational Theory and Mathematics (5.7k citations) and Artificial Intelligence (11.4k citations). Authors at Laboratoire d'Informatique Fondamentale de Lille collaborate with scholars in France, Switzerland and United States and have published in prestigious journals including Lecture notes in computer science, Theoretical Computer Science, Journal of Parallel and Distributed Computing, Proceedings of the VLDB Endowment and Parallel Computing. Some of Laboratoire d'Informatique Fondamentale de Lille's most productive authors include El‐Ghazali Talbi, Jean‐Pierre Hubaux, Maxim Raya, Mohamed Daoudi, Martijn Stam, Chabane Djeraba, Géry Casiez, J.F. Shao, Nicu Sebe and Michael S. Lew.
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.