Daimler (Germany)
In research, Daimler (Germany) stands highest in Physical Sciences (#8,336 of 12,888 worldwide) and Engineering (#5,335 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Automotive Engineering and Mechanical Engineering — Automotive Engineering is 17.6× its share of world research.
- World rank, 2022–2025
- #14,856 of 28,054 · #2,079 all time
- Rank in Germany
- #569 of 1,178
- Research works
- 6k ▼ 36% vs 2013–17
- Citations
- 109k 18.3 per fractional work
- Top-10% rate
- 10.6% record average 16.5%
- Open access
- 12% world 28%
What is Daimler (Germany) 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 | #8,336 of 12,888 | 9.7% | 182 | #1421 | |
| EngineeringField | #5,335 of 6,636 | 7.7% | 125 | #721 |
Each strip is that field’s whole ranked pool, with the notch where Daimler (Germany) 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 Daimler (Germany) specialise in?
Where its research is concentrated relative to its size: Automotive Engineering takes 17.6× the share of its output that it takes of world research.
- Automotive EngineeringSubfield · 24.0 works18×
- Mechanical EngineeringSubfield · 26.0 works5.5×
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, 3.3×. Every wedge is a field page.
- Chemical Engineering 3.3×
- Engineering 3.3×
- Mathematics 1.5×
- Business, Management and Accounting 1.4×
- Decision Sciences 1.4×
- Materials Science 1.3×
- Energy 1.2×
- Arts and Humanities 1.1×
- Computer Science 1.0×
- Economics, Econometrics and Finance 0.9×
- Physics and Astronomy 0.9×
- Pharmacology, Toxicology and Pharmaceutics 0.8×
- Environmental Science 0.7×
- Psychology 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Health Professions 0.4×
- Social Sciences 0.4×
- Agricultural and Biological Sciences 0.4×
- Chemistry 0.3×
- Earth and Planetary Sciences 0.3×
- Immunology and Microbiology 0.2×
- Neuroscience 0.2×
- Medicine 0.1×
- Nursing 0.1×
Who are the top researchers at Daimler (Germany)?
Ranked on the composite score, Uwe Franke, Dariu M. Gavrila and Markus Enzweiler lead among researchers whose main affiliation is Daimler (Germany).
- 1 Uwe Franke Germany · #11,781 worldwide 3.4k citations · 45 works
- 2 Dariu M. Gavrila Germany · #71,409 worldwide 431 citations · 39 works
- 3 Markus Enzweiler Germany · #74,192 worldwide 3.1k citations · 24 works
- 4 Boris S. Kerner Germany · #106,885 worldwide 633 citations · 104 works
- 5 David Pfeiffer Germany · #114,400 worldwide 322 citations · 26 works
- 6 Hubert Rehborn Germany · #132,187 worldwide 243 citations · 29 works
- 7 Jürgen Dickmann Germany · #146,608 worldwide 252 citations · 60 works
- 8 Dieter Radaj Germany · #213,026 worldwide 56 citations · 26 works
- 9 H. Kibbel Germany · #222,908 worldwide 188 citations · 42 works
- 10 Nils Appenrodt Germany · #241,856 worldwide 269 citations · 17 works
Which keywords describe research at Daimler (Germany)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Electric Vehicles, Model Predictive Control, Autonomous Vehicles, Mechanical Properties, Vehicle Dynamics, Tool Wear, Microstructure and Control Strategies.
- Outcomes
- Sensor Fusion
- Collision Avoidance
- Professional Development
- Generation Management
- Organizational Change
- Tire-Road Friction Estimation
- Socio-Technical Systems
- Active Steering
- Polymer Composites
- Leadership
- Optimization
- Surface Roughness
- Hybrid Vehicles
- Energy Storage Systems
- Digital Transformation
- Vehicle Dynamics
- Autonomous Vehicles
- Mechanical Properties
- Deep Learning
- Electric Vehicles
- Model Predictive Control
- Sustainability
- Microstructure
- Tool Wear
- Control Strategies
- Control Systems
- Power Management Strategy
- Lithium-ion Batteries
- Additive Manufacturing
- Composite Materials
- Thermal Management
- Machining
- Surface Integrity
- Renewable Resources
- Agility
- Biofuels
- Battery Management Systems
- High-Speed Trains
- Thermal Runaway
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
- Electric Vehicles15▲ 20×4 topics
- Deep Learning14▲ 1.56×39 topics
- Model Predictive Control11▲ 16×4 topics
- Mechanical Properties11▲ 4.3×19 topics
- Sustainability10▲ 1.66×18 topics
- Autonomous Vehicles8▲ 16×4 topics
- Microstructure7▲ 5.6×10 topics
- Vehicle Dynamics7▲ 47×2 topics
- Tool Wear7▲ 20×3 topics
- Digital Transformation7▲ 5.0×3 topics
- Control Strategies6▲ 17×3 topics
- Energy Storage Systems6▲ 16×2 topics
- Control Systems6▲ 12×3 topics
- Hybrid Vehicles6▲ 62×1 topic
- Power Management Strategy6▲ 62×1 topic
- Surface Roughness5▲ 16×4 topics
- Lithium-ion Batteries5▲ 4.8×3 topics
- Optimization5▲ 4.4×7 topics
- Additive Manufacturing5▲ 6.1×5 topics
- Leadership5▲ 4.0×4 topics
- Composite Materials5▲ 9.0×4 topics
- Polymer Composites5▲ 6.9×4 topics
- Thermal Management5▲ 5.5×5 topics
- Active Steering4▲ 57×1 topic
- Machining4▲ 29×1 topic
- Socio-Technical Systems4▲ 69×2 topics
- Surface Integrity4▲ 29×1 topic
- Tire-Road Friction Estimation4▲ 57×1 topic
- Renewable Resources4▲ 9.2×5 topics
- Organizational Change4▲ 21×2 topics
- Agility4▲ 107×1 topic
- Generation Management4▲ 107×1 topic
- Biofuels4▲ 15×2 topics
- Professional Development4▲ 7.0×3 topics
- Battery Management Systems3▲ 8.7×1 topic
- Collision Avoidance3▲ 7.3×2 topics
- High-Speed Trains3▲ 21×3 topics
- Sensor Fusion3▲ 12×2 topics
- Thermal Runaway3▲ 8.7×1 topic
- Outcomes3▲ 15×2 topics
Which research topics does Daimler (Germany) publish most on?
By volume in 2022–2025: Electric and Hybrid Vehicle Technologies, Vehicle Dynamics and Control Systems, Advanced machining processes and optimization and Corporate Management and Leadership.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Electric and Hybrid Vehicle Technologies Automotive Engineering 6 works
- 2 Vehicle Dynamics and Control Systems Automotive Engineering 4 works
- 3 Advanced machining processes and optimization Mechanical Engineering 4 works
- 4 Corporate Management and Leadership Organizational Behavior and Human Resource Management 4 works
- 5 Advanced Battery Technologies Research Automotive Engineering 3 works
- 6 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 3 works
- 7 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 8 Flexible and Reconfigurable Manufacturing Systems Industrial and Manufacturing Engineering 3 works
- 9 Aerodynamics and Fluid Dynamics Research Aerospace Engineering 3 works
- 10 Digital Innovation in Industries Management of Technology and Innovation 3 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 Daimler (Germany)'s research output changed?
Output in 2018–2022 was 36% 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 Stuttgart
- University of Stuttgart
- University of Hohenheim
- Max Planck Institute for Solid State Research
- Stuttgart Observatory
- Alcatel Lucent (Germany)
- Robert Bosch (Germany)
- Stuttgart Technical University of Applied Sciences
- Fraunhofer Institute for Manufacturing Engineering and Automation
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.