Laboratoire d'Informatique Fondamentale de Lille
In research, Laboratoire d'Informatique Fondamentale de Lille stands highest in Computer Science (#1,019 of 7,020 worldwide), Physical Sciences (#7,102 of 21,541 worldwide) and Computer Networks and Communications (#1,032 of 1,873 worldwide), over all time.
- World rank, all time
- #11,907 of 42,892
- Rank in France
- #782 of 2,321
- Research works
- 941 ▼ 79% vs 2013–17
- Citations
- 17k 17.9 per fractional work
- Top-10% rate
- 14.2% record average 16.5%
- Open access
- 39% world 28%
What is Laboratoire d'Informatique Fondamentale de Lille known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Computer ScienceField | #1,019 of 7,020 | 21.8% | 579 | |
| Physical SciencesDomain | #7,102 of 21,541 | 21.7% | 775 | |
| Computer Networks and CommunicationsSubfield | #1,032 of 1,873 | 25.8% | 131 | |
| EngineeringField | #6,819 of 11,412 | 26.2% | 133 | |
| Artificial IntelligenceSubfield | #2,098 of 2,981 | 20.3% | 151 |
Each strip is that field’s whole ranked pool, with the notch where Laboratoire d'Informatique Fondamentale de Lille sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.5×. Every wedge is a field page.
- Computer Science 5.5×
- Mathematics 3.1×
- Chemistry 2.4×
- Energy 1.6×
- Decision Sciences 1.6×
- Neuroscience 1.3×
- Engineering 1.1×
- Social Sciences 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Physics and Astronomy 0.6×
- Environmental Science 0.4×
- Business, Management and Accounting 0.4×
- Earth and Planetary Sciences 0.4×
- Materials Science 0.4×
- Medicine 0.3×
- Agricultural and Biological Sciences 0.2×
- Nursing 0.2×
- Arts and Humanities 0.2×
Who are the top researchers at Laboratoire d'Informatique Fondamentale de Lille?
Ranked on the composite score, Pierre-André Caron, Bernard Carré and Xavier Le Pallec lead among researchers whose main affiliation is Laboratoire d'Informatique Fondamentale de Lille.
- 1 Pierre-André Caron France · #238,256 worldwide 18 citations · 40 works
- 2 Bernard Carré France · #436,701 worldwide 139 citations · 46 works
- 3 Xavier Le Pallec France · #505,175 worldwide 22 citations · 32 works
- 4 Sophie Tison France · #590,401 worldwide 113 citations · 29 works
- 5 Alain Derycke France · #624,021 worldwide 28 citations · 35 works
- 6 Jean-Christophe Routier France · #644,597 worldwide 25 citations · 24 works
- 7 Clarisse Dhaenens France · #718,303 worldwide 111 citations · 52 works
- 8 Jean-Claude Tarby France · #783,202 worldwide 33 citations · 28 works
- 9 Pan Wei France · #823,911 worldwide 0 citations · 21 works
- 10 Serge G. Petiton France · #949,103 worldwide 29 citations · 25 works
Which keywords describe research at Laboratoire d'Informatique Fondamentale de Lille?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Inequality, Unsupervised Learning, Partially Ordered Sets, Periodic Table and Social Determinants of Health.
- Public Policy
- Partially Ordered Sets
- Artificial Intelligence
- Inequality
- Neural Networks
- Deep Learning
- Machine Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Periodic Table
- Social Determinants of Health
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 11 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 11 words, with their numbers
- Deep Learning4▲ 4.2×20 topics
- Neural Networks2▲ 6.0×12 topics
- Machine Learning2▲ 2.5×13 topics
- Inequality1▲ 19×2 topics
- Unsupervised Learning1▲ 28×3 topics
- Artificial Intelligence1▲ 2.9×6 topics
- Convolutional Neural Networks1▲ 5.2×4 topics
- Partially Ordered Sets1▲ 384×1 topic
- Periodic Table1▲ 269×1 topic
- Public Policy1▲ 7.7×1 topic
- Social Determinants of Health1▲ 17×1 topic
Which research topics does Laboratoire d'Informatique Fondamentale de Lille publish most on?
By volume in 2022–2025: History and advancements in chemistry, Social Policies and Family, Advanced Software Engineering Methodologies and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 History and advancements in chemistry Physical and Theoretical Chemistry 1 works
- 2 Social Policies and Family Sociology and Political Science 1 works
- 3 Advanced Software Engineering Methodologies Artificial Intelligence 1 works
- 4 Topic Modeling Artificial Intelligence 1 works
- 5 Natural Language Processing Techniques Artificial Intelligence 1 works
- 6 3D Shape Modeling and Analysis Computational Mechanics 1 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 1 works
- 8 Sparse and Compressive Sensing Techniques Computational Mechanics 0 works
- 9 Advanced Database Systems and Queries Computer Networks and Communications 0 works
- 10 Wikis in Education and Collaboration Communication 0 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Laboratoire d'Informatique Fondamentale de Lille's research output changed?
Output in 2018–2022 was 79% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.