- Research works
- 67 ▼ 44% vs 2018-21
- Citations
- 1.7k 25.9 per fractional work
- Top-10% rate
- 3.1% all institutions 10.0%
- Open access
- 38% world 40%
- International
- 48% world 18%
Not ranked overall: Center for Massive Data Algorithmics is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does Center for Massive Data Algorithmics work in?
In all years, 87% of research at Center for Massive Data Algorithmics is in Physical Sciences, 8% in Life Sciences. Its largest fields are Computer Science (62%), Environmental Science (14%), Engineering (6%). It does 2.0× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 17 fields, with their numbers
- Physical Sciences5987.5%
- Computer Science4261.9%
- Environmental Science913.9%
- Engineering45.8%
- Earth and Planetary Sciences22.6%
- Mathematics22.4%
- Physics and Astronomy00.7%
- Chemistry00.1%
- Life Sciences68.3%
- Social Sciences12.2%
- Social Sciences10.8%
- Psychology00.6%
- Decision Sciences00.6%
- Arts and Humanities00.2%
- Health Sciences12.0%
- Medicine11.2%
- Health Professions10.9%
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: Neuroscience, 5.8×. Every wedge is a field page.
All 8 fields, with their numbers
- Neuroscience5.77×0 works
- Immunology and Microbiology4.65×0 works
- Environmental Science3.30×1 works
- Psychology3.07×0 works
- Computer Science2.58×1 works
- Mathematics2.27×0 works
- Engineering1.56×1 works
- Medicine0.73×0 works
Which keywords describe research at Center for Massive Data Algorithmics?
By fractional works in all years, weighted toward what it does more of than the world: Approximation Algorithms, Algorithms, Entropy, Compression, Suffix Arrays, Delaunay Triangulations, Mesh Generation and Clustering Algorithms.
- Fault Tolerance
- Molecular Computation
- Flood Risk
- DNA Computing
- Online Algorithms
- Error-Correcting Codes
- Continuous Queries
- Resource Allocation
- Biomass Estimation
- Mobile Robots
- Invasive Species
- Complexity Theory
- Remote Sensing
- Algorithmic Applications
- Machine Learning
- Trajectory Data Mining
- Clustering Algorithms
- Delaunay Triangulations
- Compression
- Algorithms
- Approximation Algorithms
- Entropy
- Suffix Arrays
- Mesh Generation
- GPS Trajectories
- Climate Change
- Deep Learning
- Biodiversity
- Combinatorial Optimization
- Global Change
- Hydrological Modeling
- Ecosystem Services
- Habitat Fragmentation
- AdWords Problem
- Data Stream Management
- Genetic Algorithms
- Automata
- Ecosystem
- Formal Languages
- Surface Water Mapping
Size is fractional works in all years 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
- Approximation Algorithms10▲ 161×4 topics
- Algorithms8▲ 263×2 topics
- Entropy8▲ 208×2 topics
- Compression7▲ 224×1 topic
- Suffix Arrays7▲ 312×1 topic
- Delaunay Triangulations6▲ 360×1 topic
- Mesh Generation6▲ 360×1 topic
- Clustering Algorithms5▲ 74×2 topics
- GPS Trajectories5▲ 156×1 topic
- Trajectory Data Mining5▲ 156×1 topic
- Climate Change5▲ 2.8×12 topics
- Machine Learning5▲ 3.3×13 topics
- Deep Learning4▲ 3.1×14 topics
- Algorithmic Applications4▲ 115×2 topics
- Biodiversity3▲ 6.3×6 topics
- Remote Sensing3▲ 4.3×6 topics
- Combinatorial Optimization3▲ 204×1 topic
- Complexity Theory3▲ 72×1 topic
- Global Change2▲ 12×3 topics
- Invasive Species2▲ 6.5×5 topics
- Hydrological Modeling2▲ 18×2 topics
- Mobile Robots2▲ 41×2 topics
- Ecosystem Services2▲ 9.3×6 topics
- Biomass Estimation2▲ 26×3 topics
- Habitat Fragmentation2▲ 9.6×2 topics
- Resource Allocation2▲ 12×2 topics
- AdWords Problem2▲ 110×1 topic
- Continuous Queries2▲ 62×1 topic
- Data Stream Management2▲ 62×1 topic
- Error-Correcting Codes2▲ 53×2 topics
- Genetic Algorithms2▲ 17×2 topics
- Online Algorithms2▲ 110×1 topic
- Automata2▲ 38×1 topic
- DNA Computing2▲ 155×1 topic
- Ecosystem2▲ 16×2 topics
- Flood Risk2▲ 49×1 topic
- Formal Languages2▲ 105×1 topic
- Molecular Computation2▲ 155×1 topic
- Surface Water Mapping2▲ 52×1 topic
- Fault Tolerance2▲ 11×2 topics
Which research topics does Center for Massive Data Algorithmics publish most on?
By volume in 2022-now: Computational Geometry and Mesh Generation, Emotion and Mood Recognition, Heart Rate Variability and Autonomic Control and Embodied and Extended Cognition.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Computational Geometry and Mesh Generation Computer Graphics and Computer-Aided Design 0 works
- 2 Emotion and Mood Recognition Experimental and Cognitive Psychology 0 works
- 3 Heart Rate Variability and Autonomic Control Cardiology and Cardiovascular Medicine 0 works
- 4 Embodied and Extended Cognition Cognitive Neuroscience 0 works
- 5 Non-Invasive Vital Sign Monitoring Biomedical Engineering 0 works
- 6 Digital Image Processing Techniques Computer Vision and Pattern Recognition 0 works
- 7 Biosimilars and Bioanalytical Methods Immunology 0 works
- 8 Hydrology and Watershed Management Studies Water Science and Technology 0 works
- 9 Urban Stormwater Management Solutions Environmental Engineering 0 works
- 10 Pharmaceutical Quality and Counterfeiting Public Health, Environmental and Occupational Health 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: 40% of research is openly available.
World: 18% is written across borders.
How has Center for Massive Data Algorithmics's research output changed?
Output in 2022-2025 was 44% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Center for Massive Data Algorithmics as a percentage of every work published that year, 0.000015% in 2024.
Fractional works of Center for Massive Data Algorithmics over all fractional works that year. How the balance of science has shifted.
Other research institutions in Aarhus
- Aarhus University
- Aarhus Municipality
- Natural History Museum Aarhus
- VIA University College
- Danish Pain Research Center
- Aarhus School of Architecture
- Moesgaard Museum
- Danish School of Media and Journalism
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
Ask a question or share a note about Center for Massive Data Algorithmics. Posts are plain text and can be reported.