Max Planck Institute for Dynamics of Complex Technical Systems
In research, Max Planck Institute for Dynamics of Complex Technical Systems stands highest in Physical Sciences (#4,652 of 12,888 worldwide) and Engineering (#4,648 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Statistical and Nonlinear Physics — Statistical and Nonlinear Physics is 27.6× its share of world research.
- World rank, 2022–2025
- #8,353 of 28,054 · #7,140 all time
- Rank in Germany
- #337 of 1,178
- Research works
- 2.4k ▼ 19% vs 2013–17
- Citations
- 36k 14.8 per fractional work
- Top-10% rate
- 15.8% record average 16.5%
- Open access
- 34% world 28%
What is Max Planck Institute for Dynamics of Complex Technical Systems 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 | #4,652 of 12,888 | 15.0% | 222 | #4491 | |
| EngineeringField | #4,648 of 6,636 | 17.5% | 91 | #4456 |
Each strip is that field’s whole ranked pool, with the notch where Max Planck Institute for Dynamics of Complex Technical Systems 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 Max Planck Institute for Dynamics of Complex Technical Systems specialise in?
Where its research is concentrated relative to its size: Statistical and Nonlinear Physics takes 27.6× the share of its output that it takes of world research.
- Statistical and Nonlinear PhysicsSubfield · 24.0 works28×
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: Chemical Engineering, 10.6×. Every wedge is a field page.
- Chemical Engineering 10.6×
- Mathematics 6.1×
- Physics and Astronomy 4.6×
- Energy 3.6×
- Chemistry 3.5×
- Decision Sciences 3.5×
- Engineering 2.2×
- Materials Science 2.0×
- Biochemistry, Genetics and Molecular Biology 2.0×
- Computer Science 1.0×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Environmental Science 0.4×
- Neuroscience 0.3×
- Earth and Planetary Sciences 0.3×
- Nursing 0.2×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Immunology and Microbiology 0.1×
- Economics, Econometrics and Finance 0.1×
- Health Professions 0.1×
- Psychology 0.0×
- Social Sciences 0.0×
- Arts and Humanities 0.0×
- Business, Management and Accounting 0.0×
Who are the top researchers at Max Planck Institute for Dynamics of Complex Technical Systems?
Ranked on the composite score, Michael Mangold, Steffen Klamt and Jens Saak lead among researchers whose main affiliation is Max Planck Institute for Dynamics of Complex Technical Systems.
- 1 Michael Mangold Germany · #282,215 worldwide 34 citations · 28 works
- 2 Steffen Klamt Germany · #363,229 worldwide 163 citations · 18 works
- 3 Jens Saak Germany · #562,520 worldwide 80 citations · 27 works
- 4 Peter Benner Germany · #593,458 worldwide 569 citations · 254 works
- 5 René Hennig Germany · #630,362 worldwide 41 citations · 32 works
- 6 Ernst Dieter Gilles Germany · #669,464 worldwide 53 citations · 38 works
- 7 Jörg Raisch Germany · #669,743 worldwide 239 citations · 98 works
- 8 Martin Stoll Germany · #700,954 worldwide 167 citations · 58 works
- 9 Andreas Böck Germany · #703,097 worldwide 26 citations · 15 works
- 10 Igor Pontes Duff Germany · #706,889 worldwide 15 citations · 15 works
Which keywords describe research at Max Planck Institute for Dynamics of Complex Technical Systems?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Nonlinear Systems, Fluid Dynamics, Partial Differential Equations, Inverse Problems, Model Reduction, Data-Driven Modeling, Dynamic Mode Decomposition and Machine Learning.
- Fluid-Structure Interaction
- Nucleation
- Matrix Computations
- Carbon Dioxide
- Stability Analysis
- Parallel Computing
- Iterative Methods
- Industrial Applications
- Genome-Scale Models
- Uncertainty Quantification
- Numerical Integration
- Stochastic Differential Equations
- Metabolic Engineering
- Optimization
- Monte Carlo Simulation
- Renewable Energy
- Data-Driven Modeling
- Inverse Problems
- Fluid Dynamics
- Nonlinear Systems
- Machine Learning
- Deep Learning
- Partial Differential Equations
- Model Reduction
- Dynamic Mode Decomposition
- Catalysis
- Hamiltonian Systems
- Synthetic Biology
- Crystal Engineering
- Differential Equations
- Sensitivity Analysis
- Constraint-Based Models
- CO2 Capture
- Glycosylation
- Crystallization
- Molecular Dynamics
- Crystal Growth
- Green Chemistry
- Numerical Linear Algebra
- Solubility
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
- Machine Learning31▲ 3.5×11 topics
- Nonlinear Systems29▲ 49×5 topics
- Deep Learning27▲ 2.8×8 topics
- Fluid Dynamics24▲ 64×5 topics
- Partial Differential Equations24▲ 159×2 topics
- Inverse Problems23▲ 77×3 topics
- Model Reduction22▲ 158×2 topics
- Data-Driven Modeling22▲ 227×1 topic
- Dynamic Mode Decomposition22▲ 227×1 topic
- Renewable Energy13▲ 3.2×15 topics
- Catalysis12▲ 6.7×14 topics
- Monte Carlo Simulation10▲ 18×3 topics
- Hamiltonian Systems10▲ 118×2 topics
- Optimization9▲ 7.0×5 topics
- Synthetic Biology9▲ 52×2 topics
- Metabolic Engineering9▲ 32×3 topics
- Crystal Engineering8▲ 27×3 topics
- Stochastic Differential Equations8▲ 44×2 topics
- Differential Equations8▲ 126×1 topic
- Numerical Integration8▲ 100×1 topic
- Sensitivity Analysis8▲ 29×1 topic
- Uncertainty Quantification8▲ 35×1 topic
- Constraint-Based Models7▲ 65×1 topic
- Genome-Scale Models7▲ 65×1 topic
- CO2 Capture6▲ 14×5 topics
- Industrial Applications6▲ 22×3 topics
- Glycosylation6▲ 19×3 topics
- Iterative Methods6▲ 54×2 topics
- Crystallization6▲ 39×2 topics
- Parallel Computing6▲ 17×2 topics
- Molecular Dynamics6▲ 12×4 topics
- Stability Analysis6▲ 12×5 topics
- Crystal Growth5▲ 6.9×3 topics
- Carbon Dioxide5▲ 12×4 topics
- Green Chemistry5▲ 10×6 topics
- Matrix Computations5▲ 70×1 topic
- Numerical Linear Algebra5▲ 70×1 topic
- Nucleation5▲ 108×1 topic
- Solubility5▲ 108×1 topic
- Fluid-Structure Interaction5▲ 11×4 topics
Which research topics does Max Planck Institute for Dynamics of Complex Technical Systems publish most on?
By volume in 2022–2025: Model Reduction and Neural Networks, Numerical methods for differential equations, Probabilistic and Robust Engineering Design and Microbial Metabolic Engineering and Bioproduction.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Model Reduction and Neural Networks Statistical and Nonlinear Physics 22 works
- 2 Numerical methods for differential equations Numerical Analysis 8 works
- 3 Probabilistic and Robust Engineering Design Statistics, Probability and Uncertainty 8 works
- 4 Microbial Metabolic Engineering and Bioproduction Molecular Biology 7 works
- 5 Matrix Theory and Algorithms Computational Theory and Mathematics 5 works
- 6 Crystallization and Solubility Studies Materials Chemistry 5 works
- 7 Process Optimization and Integration Control and Systems Engineering 5 works
- 8 Biofuel production and bioconversion Biomedical Engineering 4 works
- 9 Fuel Cells and Related Materials Electrical and Electronic Engineering 4 works
- 10 Machine Learning in Materials Science Materials Chemistry 4 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 Max Planck Institute for Dynamics of Complex Technical Systems's research output changed?
Output in 2018–2022 was 19% 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 Magdeburg
- Otto-von-Guericke-Universität Magdeburg
- Universitätskinderklinik
- University Hospital Magdeburg
- Orthopädische Universitätsklinik
- Leibniz Institute for Neurobiology
- Klinikum Magdeburg
- Universitätsklinik für Strahlentherapie
- Universitätsklinik für Hals-, Nasen- und Ohrenheilkunde
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.