Données et algorithmes pour une ville intelligente et durable
- Research works
- 64 ▲ 130% vs 2013–17
- Citations
- 418 6.5 per fractional work
- Top-10% rate
- 9.0% record average 16.5%
- Open access
- 59% world 28%
Not ranked overall: Données et algorithmes pour une ville intelligente et durable is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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, 6.4×. Every wedge is a field page.
- Computer Science 6.4×
- Decision Sciences 3.5×
- Engineering 1.9×
- Environmental Science 0.8×
- Psychology 0.7×
- Business, Management and Accounting 0.7×
- Neuroscience 0.6×
- Economics, Econometrics and Finance 0.4×
- Mathematics 0.4×
- Physics and Astronomy 0.4×
- Energy 0.4×
- Chemical Engineering 0.3×
- Health Professions 0.3×
- Social Sciences 0.3×
- Chemistry 0.3×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Materials Science 0.1×
- Medicine 0.0×
Which keywords describe research at Données et algorithmes pour une ville intelligente et durable?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Energy Efficiency, IoT Security, 5G Networks, Anomaly Detection and Intrusion Detection.
- Security
- Resource Allocation
- Clustering
- Smart Cities
- Intrusion Detection
- Data Integration
- Data Mining
- 5G Networks
- Energy Efficiency
- Machine Learning
- Deep Learning
- Neural Networks
- IoT Security
- Anomaly Detection
- Internet of Things
- Healthcare
- IoT
- Time Series
- Cybersecurity
- Facilities Management
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 20 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 20 words, with their numbers
- Deep Learning7▲ 6.4×32 topics
- Machine Learning6▲ 5.3×25 topics
- Neural Networks4▲ 7.5×15 topics
- Energy Efficiency2▲ 7.1×11 topics
- IoT Security2▲ 20×3 topics
- 5G Networks2▲ 27×3 topics
- Anomaly Detection2▲ 17×3 topics
- Data Mining2▲ 6.1×4 topics
- Internet of Things1▲ 5.2×9 topics
- Data Integration1▲ 24×2 topics
- Healthcare1▲ 3.5×6 topics
- Intrusion Detection1▲ 28×3 topics
- IoT1▲ 11×6 topics
- Smart Cities1▲ 14×5 topics
- Time Series1▲ 21×2 topics
- Clustering1▲ 37×3 topics
- Cybersecurity1▲ 15×3 topics
- Resource Allocation1▲ 19×6 topics
- Facilities Management1▲ 40×2 topics
- Security1▲ 5.0×9 topics
Which research topics does Données et algorithmes pour une ville intelligente et durable publish most on?
By volume in 2022–2025: Network Security and Intrusion Detection, Software-Defined Networks and 5G, Machine Fault Diagnosis Techniques and IoT and Edge/Fog Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Network Security and Intrusion Detection Computer Networks and Communications 1 works
- 2 Software-Defined Networks and 5G Computer Networks and Communications 1 works
- 3 Machine Fault Diagnosis Techniques Control and Systems Engineering 1 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
- 5 Semantic Web and Ontologies Artificial Intelligence 1 works
- 6 Facilities and Workplace Management Social Psychology 1 works
- 7 Human Mobility and Location-Based Analysis Transportation 1 works
- 8 Data Quality and Management Management Science and Operations Research 1 works
- 9 Rough Sets and Fuzzy Logic Computational Theory and Mathematics 1 works
- 10 Time Series Analysis and Forecasting Signal Processing 1 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 Données et algorithmes pour une ville intelligente et durable's research output changed?
Output in 2018–2022 was 130% higher 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.
Other research institutions in Versailles
- Université de Versailles Saint-Quentin-en-Yvelines
- Institut Lavoisier de Versailles
- Département Biologie et Amélioration des Plantes
- École Nationale Supérieure d'Architecture de Versailles
- Institut Jean-Pierre Bourgin
- Groupe d’Étude de la Matière Condensée
- Académie de Versailles
- VeDeCoM Institute
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.