Computational Intelligence and Information Systems Lab
- World rank, all time
- #38,767 of 42,892
- Rank in Argentina
- #224 of 252
- Research works
- 152 ▲ 27% vs 2013–17
- Citations
- 2.2k 14.3 per fractional work
- Top-10% rate
- 12.3% record average 16.5%
- Open access
- 49% world 28%
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: Decision Sciences, 4.7×. Every wedge is a field page.
- Decision Sciences 4.7×
- Computer Science 4.2×
- Neuroscience 3.3×
- Economics, Econometrics and Finance 3.0×
- Arts and Humanities 2.6×
- Psychology 1.4×
- Mathematics 0.9×
- Social Sciences 0.7×
- Agricultural and Biological Sciences 0.6×
- Engineering 0.6×
- Medicine 0.6×
- Health Professions 0.6×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Business, Management and Accounting 0.4×
- Environmental Science 0.2×
- Earth and Planetary Sciences 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
Who are the top researchers at Computational Intelligence and Information Systems Lab?
Ranked on the composite score, Daniela López De Luise lead among researchers whose main affiliation is Computational Intelligence and Information Systems Lab.
- 1 Daniela López De Luise Argentina · #1,541,966 worldwide 7 citations · 26 works
Which keywords describe research at Computational Intelligence and Information Systems Lab?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Machine Learning, Economic Impact, Urban Development, Intersectionality, Artificial Neural Networks and Causal Discovery.
- Stock Market Prediction
- Sustainability
- Gender Identity
- Epidemiology
- Supply Chain Management
- Big Data
- Urban Development
- Economic Impact
- Deep Learning
- Neural Networks
- Machine Learning
- Intersectionality
- Artificial Neural Networks
- Mental Health
- Causal Discovery
- Backpropagation Learning
- Self-Organizing Maps
- Language
- Time Series Forecasting
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 19 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 19 words, with their numbers
- Neural Networks6▲ 10×12 topics
- Deep Learning5▲ 4.2×15 topics
- Machine Learning3▲ 2.7×10 topics
- Economic Impact2▲ 8.2×1 topic
- Intersectionality2▲ 26×3 topics
- Urban Development2▲ 13×1 topic
- Artificial Neural Networks2▲ 9.0×2 topics
- Big Data2▲ 4.8×4 topics
- Mental Health2▲ 2.9×4 topics
- Supply Chain Management2▲ 4.6×4 topics
- Causal Discovery1▲ 129×2 topics
- Epidemiology1◆ 0.98×6 topics
- Backpropagation Learning1▲ 46×1 topic
- Gender Identity1▲ 35×2 topics
- Self-Organizing Maps1▲ 46×1 topic
- Sustainability1▲ 1.45×4 topics
- Language1▲ 12×3 topics
- Stock Market Prediction1▲ 51×1 topic
- Time Series Forecasting1▲ 51×1 topic
Which research topics does Computational Intelligence and Information Systems Lab publish most on?
By volume in 2022–2025: Business, Innovation, and Economy, Neural Networks and Applications, Stock Market Forecasting Methods and Computability, Logic, AI Algorithms.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Business, Innovation, and Economy Economics and Econometrics 2 works
- 2 Neural Networks and Applications Artificial Intelligence 1 works
- 3 Stock Market Forecasting Methods Management Science and Operations Research 1 works
- 4 Computability, Logic, AI Algorithms Computational Theory and Mathematics 1 works
- 5 Digital Transformation in Industry Industrial and Manufacturing Engineering 1 works
- 6 Gender Roles and Identity Studies Gender Studies 1 works
- 7 Explainable Artificial Intelligence (XAI) Artificial Intelligence 1 works
- 8 Natural Language Processing Techniques Artificial Intelligence 1 works
- 9 Bayesian Modeling and Causal Inference Artificial Intelligence 1 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 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 Computational Intelligence and Information Systems Lab's research output changed?
Output in 2018–2022 was 27% 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 Buenos Aires
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Universidad de Buenos Aires
- Fundación Ciencias Exactas y Naturales
- Hospital Italiano de Buenos Aires
- Comisión Nacional de Energía Atómica
- Pontificia Universidad Católica Argentina
- National University of General San Martín
- National Technological University
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.