Daimler (Germany)
In research, Daimler (Germany) stands highest in Physical Sciences (#2,871 of 10,670 worldwide) and Engineering (#2,431 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Automotive Engineering and Mechanical Engineering (Automotive Engineering is 20.7× its share of world research).
- World rank, 2022-now
- #6,893 of 22,385 · #1,605 all time
- Rank in Germany
- #232 of 795
- Research works
- 6k ▼ 52% vs 2018-21
- Citations
- 109k 18.3 per fractional work
- Top-10% rate
- 7.5% all institutions 10.0%
- vs its own fields
- 0.96× 1.00× is exactly expected
- Open access
- 12% world 40%
- International
- 16% world 18%
What is Daimler (Germany) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #2,871 of 10,670 | 6.3% | 182 | #938 | |
| EngineeringField | #2,431 of 5,901 | 5.7% | 125 | #654 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Daimler (Germany) work in?
In 2022-now, 72% of research at Daimler (Germany) is in Physical Sciences, 18% in Social Sciences. Its largest fields are Engineering (51%), Computer Science (7%), Social Sciences (5%). It does 1.8× 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 2022-now. 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 24 fields, with their numbers
- Physical Sciences20972.4%
- Engineering14650.7%
- Computer Science217.3%
- Materials Science124.2%
- Environmental Science103.5%
- Physics and Astronomy51.7%
- Mathematics51.6%
- Chemical Engineering31.2%
- Energy31.0%
- Earth and Planetary Sciences20.8%
- Chemistry20.5%
- Social Sciences5218.0%
- Life Sciences165.5%
- Health Sciences124.1%
- Medicine82.9%
- Health Professions31.2%
- Nursing00.1%
What does Daimler (Germany) specialise in?
Where its research is concentrated relative to its size: Automotive Engineering takes 20.7× the share of its output that it takes of world research.
- Automotive EngineeringSubfield · 32.0 works21×
- Mechanical EngineeringSubfield · 29.0 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: Engineering, 3.4×. Every wedge is a field page.
All 24 fields, with their numbers
- Engineering3.38×146 works
- Chemical Engineering3.36×3 works
- Decision Sciences1.40×4 works
- Mathematics1.35×5 works
- Business, Management and Accounting1.34×12 works
- Materials Science1.19×12 works
- Energy1.08×3 works
- Arts and Humanities1.02×8 works
- Computer Science0.94×21 works
- Economics, Econometrics and Finance0.88×5 works
- Psychology0.78×7 works
- Physics and Astronomy0.76×5 works
- Pharmacology, Toxicology and Pharmaceutics0.72×1 works
- Environmental Science0.70×10 works
- Biochemistry, Genetics and Molecular Biology0.54×8 works
- Earth and Planetary Sciences0.48×2 works
- Health Professions0.45×4 works
- Social Sciences0.40×15 works
- Agricultural and Biological Sciences0.38×5 works
- Chemistry0.34×2 works
- Neuroscience0.22×1 works
- Immunology and Microbiology0.19×0 works
- Medicine0.15×8 works
- Nursing0.14×0 works
- Engineering 3.4×
- Chemical Engineering 3.4×
- Decision Sciences 1.4×
- Mathematics 1.4×
- Business, Management and Accounting 1.3×
- Materials Science 1.2×
- Energy 1.1×
- Arts and Humanities 1.0×
- Computer Science 0.9×
- Economics, Econometrics and Finance 0.9×
- Psychology 0.8×
- Physics and Astronomy 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Environmental Science 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Earth and Planetary Sciences 0.5×
- Health Professions 0.5×
- Social Sciences 0.4×
- Agricultural and Biological Sciences 0.4×
- Chemistry 0.3×
- Neuroscience 0.2×
- Immunology and Microbiology 0.2×
- Medicine 0.1×
- Nursing 0.1×
Who are the top researchers at Daimler (Germany)?
Ranked on the quality score, Uwe Franke, Dariu M. Gavrila and Boris S. Kerner lead among researchers whose main affiliation is Daimler (Germany).
- 1
Uwe Franke
Germany · #84,149 worldwide 22k citations · 176 works
- 2
Dariu M. Gavrila
Germany · #146,403 worldwide 13k citations · 158 works
- 3
Boris S. Kerner
Germany · #242,418 worldwide 12k citations · 349 works
- 4
Markus Enzweiler
Germany · #258,744 worldwide 17k citations · 71 works
- 5
Clemens Rabe
Germany · #259,956 worldwide 2.6k citations · 31 works
- 6
Andreas Wedel
Germany · #269,302 worldwide 2.4k citations · 46 works
- 7
Stefan K. Gehrig
Germany · #399,731 worldwide 2.1k citations · 83 works
- 8
Daniel Chatterjee
Germany · #402,922 worldwide 2.5k citations · 26 works
- 9
Christoph G. Keller
Germany · #472,851 worldwide 2.1k citations · 17 works
- 10
Fridtjof Stein
Germany · #526,192 worldwide 2.5k citations · 30 works
Which keywords describe research at Daimler (Germany)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Electric Vehicles, Model Predictive Control, Autonomous Vehicles, Vehicle Dynamics, Mechanical Properties, Deep Learning, Control Systems and Control Strategies.
- Thermal Runaway
- Machining
- Fuel Consumption
- Battery Management Systems
- Renewable Resources
- Composite Materials
- Driver Assistance Systems
- Smart Grid
- Surface Roughness
- Tire-Road Friction Estimation
- Collision Avoidance
- Active Steering
- Power Management Strategy
- Tool Wear
- Digital Transformation
- Control Systems
- Vehicle Dynamics
- Machine Learning
- Model Predictive Control
- Deep Learning
- Electric Vehicles
- Sustainability
- Autonomous Vehicles
- Mechanical Properties
- Microstructure
- Control Strategies
- Energy Storage Systems
- Hybrid Vehicles
- Lithium-ion Batteries
- Additive Manufacturing
- Optimization
- Sensor Fusion
- Thermal Management
- Battery Technology
- Trajectory Prediction
- Polymer Composites
- Socio-Technical Systems
- Eco-Driving
- High-Speed Trains
- Surface Integrity
Size is fractional works in 2022-now 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 Vehicles20▲ 24×4 topics
- Deep Learning17▲ 1.70×40 topics
- Sustainability13▲ 1.90×19 topics
- Model Predictive Control13▲ 18×4 topics
- Autonomous Vehicles13▲ 22×4 topics
- Machine Learning12▲ 1.20×26 topics
- Mechanical Properties11▲ 4.0×22 topics
- Vehicle Dynamics9▲ 56×2 topics
- Microstructure8▲ 5.1×10 topics
- Control Systems7▲ 14×3 topics
- Control Strategies7▲ 18×3 topics
- Digital Transformation7▲ 4.5×3 topics
- Energy Storage Systems7▲ 17×2 topics
- Tool Wear7▲ 19×3 topics
- Hybrid Vehicles7▲ 63×1 topic
- Power Management Strategy7▲ 63×1 topic
- Lithium-ion Batteries6▲ 5.0×3 topics
- Active Steering6▲ 69×1 topic
- Additive Manufacturing6▲ 6.5×6 topics
- Collision Avoidance6▲ 11×2 topics
- Optimization6▲ 4.5×7 topics
- Tire-Road Friction Estimation6▲ 69×1 topic
- Sensor Fusion6▲ 18×2 topics
- Surface Roughness5▲ 14×4 topics
- Thermal Management5▲ 5.7×5 topics
- Smart Grid5▲ 5.1×3 topics
- Battery Technology5▲ 6.5×2 topics
- Driver Assistance Systems5▲ 32×1 topic
- Trajectory Prediction5▲ 32×1 topic
- Composite Materials5▲ 7.9×5 topics
- Polymer Composites5▲ 6.1×4 topics
- Renewable Resources5▲ 9.1×5 topics
- Socio-Technical Systems4▲ 60×2 topics
- Battery Management Systems4▲ 9.7×1 topic
- Eco-Driving4▲ 29×1 topic
- Fuel Consumption4▲ 20×1 topic
- High-Speed Trains4▲ 22×3 topics
- Machining4▲ 26×1 topic
- Surface Integrity4▲ 26×1 topic
- Thermal Runaway4▲ 9.7×1 topic
Which research topics does Daimler (Germany) publish most on?
By volume in 2022-now: Electric and Hybrid Vehicle Technologies, Vehicle Dynamics and Control Systems, Autonomous Vehicle Technology and Safety and Advanced machining processes and optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Electric and Hybrid Vehicle Technologies Automotive Engineering 7 works
- 2 Vehicle Dynamics and Control Systems Automotive Engineering 6 works
- 3 Autonomous Vehicle Technology and Safety Automotive Engineering 5 works
- 4 Advanced machining processes and optimization Mechanical Engineering 4 works
- 5 Advanced Battery Technologies Research Automotive Engineering 4 works
- 6 Vehicle emissions and performance Automotive Engineering 4 works
- 7 Corporate Management and Leadership Organizational Behavior and Human Resource Management 4 works
- 8 Electric Vehicles and Infrastructure Electrical and Electronic Engineering 4 works
- 9 Flexible and Reconfigurable Manufacturing Systems Industrial and Manufacturing Engineering 4 works
- 10 Aerodynamics and Fluid Dynamics Research Aerospace Engineering 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: 40% of research is openly available.
World: 18% is written across borders.
How has Daimler (Germany)'s research output changed?
Output in 2022-2025 was 52% 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 Daimler (Germany) as a percentage of every work published that year, 0.0010% in 2024.
Fractional works of Daimler (Germany) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 14.0% in 2006.
Other research institutions in Stuttgart
- University of Stuttgart
- University of Hohenheim
- Stuttgart Observatory
- Alcatel Lucent (Germany)
- Robert Bosch (Germany)
- Stuttgart Technical University of Applied Sciences
- Olgahospital
- Baden-Wuerttemberg Cooperative State University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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