Czech Academy of Sciences, Institute of Information Theory and Automation
In research, Czech Academy of Sciences, Institute of Information Theory and Automation stands highest in Physical Sciences (#8,778 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Mathematics — Mathematics is 10.0× its share of world research.
- World rank, 2022–2025
- #15,406 of 28,054 · #7,696 all time
- Rank in Czechia
- #90 of 163
- Research works
- 2.1k ▼ 18% vs 2013–17
- Citations
- 38k 18.3 per fractional work
- Top-10% rate
- 12.1% record average 16.5%
- Open access
- 33% world 28%
What is Czech Academy of Sciences, Institute of Information Theory and Automation known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #8,778 of 12,888 | 8.9% | 125 | #5406 |
Each strip is that field’s whole ranked pool, with the notch where Czech Academy of Sciences, Institute of Information Theory and Automation 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).
What does Czech Academy of Sciences, Institute of Information Theory and Automation specialise in?
Where its research is concentrated relative to its size: Mathematics takes 10.0× the share of its output that it takes of world research.
- MathematicsField · 20.1 works10×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
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: Mathematics, 10.0×. Every wedge is a field page.
- Mathematics 10.0×
- Decision Sciences 7.7×
- Economics, Econometrics and Finance 5.6×
- Computer Science 4.0×
- Engineering 1.7×
- Energy 0.9×
- Physics and Astronomy 0.8×
- Business, Management and Accounting 0.4×
- Health Professions 0.3×
- Materials Science 0.3×
- Earth and Planetary Sciences 0.2×
- Environmental Science 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Neuroscience 0.1×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Psychology 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Czech Academy of Sciences, Institute of Information Theory and Automation?
Ranked on the composite score, Jan Flusser, Petr Tichavský and V. Kučera lead among researchers whose main affiliation is Czech Academy of Sciences, Institute of Information Theory and Automation.
- 1 Jan Flusser Czechia · #7,603 worldwide 1.7k citations · 54 works
- 2 Petr Tichavský Czechia · #30,957 worldwide 542 citations · 46 works
- 3 V. Kučera Czechia · #116,879 worldwide 440 citations · 91 works
- 4 Pavel Pudil Czechia · #143,487 worldwide 277 citations · 29 works
- 5 Jiří V. Outrata Czechia · #258,707 worldwide 102 citations · 23 works
- 6 Filip Šroubek Czechia · #321,942 worldwide 137 citations · 33 works
- 7 Josef Böhm Czechia · #326,461 worldwide 89 citations · 40 works
- 8 Tomáš Suk Czechia · #351,341 worldwide 230 citations · 16 works
- 9 Igor Vajda Czechia · #388,286 worldwide 158 citations · 41 works
- 10 Miloslav Vošvrda Czechia · #487,030 worldwide 77 citations · 16 works
Which keywords describe research at Czech Academy of Sciences, Institute of Information Theory and Automation?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Monetary Policy, Causal Discovery, Complex Systems, Stock Market, Machine Learning and Bayesian Networks.
- Time Series
- Sparse Representations
- Image Denoising
- Event-Triggered Control
- Distributed Control
- Multifractal Analysis
- Econophysics
- Generative Adversarial Networks
- Nonlinear Systems
- Fuzzy Sets
- Risk Management
- Wavelet Transform
- Economic Policy Uncertainty
- Optimization
- Graphical Models
- Sparse Representation
- Stock Market
- Complex Systems
- Monetary Policy
- Neural Networks
- Deep Learning
- Machine Learning
- Causal Discovery
- Convolutional Neural Networks
- Bayesian Networks
- Causal Inference
- Model Selection
- Regression Analysis
- Oil Price Shocks
- Monte Carlo Simulation
- Agent-Based Modeling
- Analytic Hierarchy Process
- TOPSIS
- Bayesian Inference
- Hyperspectral Imaging
- Outlier Detection
- Stability Analysis
- Forecasting
- Principal Component Analysis
- Parameter Estimation
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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning24▲ 4.2×39 topics
- Neural Networks15▲ 5.9×20 topics
- Machine Learning10▲ 1.70×19 topics
- Monetary Policy6▲ 15×6 topics
- Causal Discovery4▲ 82×2 topics
- Complex Systems4▲ 24×4 topics
- Convolutional Neural Networks4▲ 3.4×7 topics
- Stock Market4▲ 10×2 topics
- Bayesian Networks4▲ 27×2 topics
- Sparse Representation4▲ 12×6 topics
- Causal Inference4▲ 72×1 topic
- Graphical Models4▲ 159×1 topic
- Model Selection4▲ 28×3 topics
- Optimization4▲ 5.0×7 topics
- Regression Analysis4▲ 58×2 topics
- Economic Policy Uncertainty4▲ 34×1 topic
- Oil Price Shocks4▲ 34×1 topic
- Wavelet Transform4▲ 9.6×3 topics
- Monte Carlo Simulation4▲ 11×4 topics
- Risk Management4▲ 4.5×4 topics
- Agent-Based Modeling4▲ 15×2 topics
- Fuzzy Sets4▲ 38×2 topics
- Analytic Hierarchy Process3▲ 34×1 topic
- Nonlinear Systems3▲ 9.4×7 topics
- TOPSIS3▲ 46×1 topic
- Generative Adversarial Networks3▲ 24×2 topics
- Bayesian Inference3▲ 20×4 topics
- Econophysics3▲ 59×1 topic
- Hyperspectral Imaging3▲ 6.4×3 topics
- Multifractal Analysis3▲ 59×1 topic
- Outlier Detection3▲ 14×2 topics
- Distributed Control3▲ 16×3 topics
- Stability Analysis3▲ 11×5 topics
- Event-Triggered Control3▲ 26×2 topics
- Forecasting3▲ 8.8×3 topics
- Image Denoising3▲ 36×1 topic
- Principal Component Analysis3▲ 12×2 topics
- Sparse Representations3▲ 36×1 topic
- Parameter Estimation3▲ 12×2 topics
- Time Series3▲ 8.8×3 topics
Which research topics does Czech Academy of Sciences, Institute of Information Theory and Automation publish most on?
By volume in 2022–2025: Bayesian Modeling and Causal Inference, Market Dynamics and Volatility, Multi-Criteria Decision Making and Complex Systems and Time Series Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Bayesian Modeling and Causal Inference Artificial Intelligence 4 works
- 2 Market Dynamics and Volatility Economics and Econometrics 4 works
- 3 Multi-Criteria Decision Making Management Science and Operations Research 3 works
- 4 Complex Systems and Time Series Analysis Economics and Econometrics 3 works
- 5 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 3 works
- 6 Advanced Statistical Methods and Models Statistics and Probability 2 works
- 7 Stochastic processes and financial applications Finance 2 works
- 8 Financial Risk and Volatility Modeling Finance 2 works
- 9 Advanced Algebra and Logic Computational Theory and Mathematics 2 works
- 10 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 2 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 Czech Academy of Sciences, Institute of Information Theory and Automation's research output changed?
Output in 2018–2022 was 18% 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.
Other research institutions in Prague
- Charles University
- Czech Technical University in Prague
- Czech Academy of Sciences
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic
- University of Chemistry and Technology, Prague
- Czech University of Life Sciences Prague
- Czech Academy of Sciences, Institute of Microbiology
- Czech Academy of Sciences, Institute of Physiology
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.