Mercedes-Benz (Germany)
In research, Mercedes-Benz (Germany) stands highest in Physical Sciences (#6,672 of 12,888 worldwide), Engineering (#3,645 of 6,636 worldwide) and Computer Science (#2,606 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Automotive Engineering and Industrial and Manufacturing Engineering — Automotive Engineering is 25.2× its share of world research.
- World rank, 2022–2025
- #11,653 of 28,054 · #14,150 all time
- Rank in Germany
- #465 of 1,178
- Research works
- 1.2k ▲ 294% vs 2013–17
- Citations
- 9.6k 8.3 per fractional work
- Top-10% rate
- 10.8% record average 16.5%
- Open access
- 25% world 28%
What is Mercedes-Benz (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 | #6,672 of 12,888 | 9.9% | 334 | #8553 | |
| EngineeringField | #3,645 of 6,636 | 8.9% | 228 | #5349 | |
| Computer ScienceField | #2,606 of 4,667 | 14.7% | 72 | #3160 |
Each strip is that field’s whole ranked pool, with the notch where Mercedes-Benz (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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#8,553 #6,672
- Engineering#5,349 #3,645
- Computer Science#3,160 #2,606
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Mercedes-Benz (Germany) specialise in?
Where its research is concentrated relative to its size: Automotive Engineering takes 25.2× the share of its output that it takes of world research.
- Automotive EngineeringSubfield · 52.8 works25×
- Industrial and Manufacturing EngineeringSubfield · 26.6 works13×
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, 3.9×. Every wedge is a field page.
- Engineering 3.9×
- Chemical Engineering 2.9×
- Computer Science 2.4×
- Business, Management and Accounting 1.4×
- Decision Sciences 1.1×
- Materials Science 1.0×
- Psychology 0.7×
- Environmental Science 0.5×
- Energy 0.5×
- Physics and Astronomy 0.5×
- Neuroscience 0.3×
- Arts and Humanities 0.3×
- Economics, Econometrics and Finance 0.1×
- Social Sciences 0.1×
- Agricultural and Biological Sciences 0.1×
- Health Professions 0.1×
- Mathematics 0.1×
- Medicine 0.1×
- Earth and Planetary Sciences 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemistry 0.1×
- Immunology and Microbiology 0.0×
Who are the top researchers at Mercedes-Benz (Germany)?
Ranked on the composite score, Marius Cordts, Gunter Schöbel and Rodolfo Schöneburg lead among researchers whose main affiliation is Mercedes-Benz (Germany).
- 1 Marius Cordts Germany · #181,723 worldwide 3.1k citations · 17 works
- 2 Gunter Schöbel Germany · #667,057 worldwide 2 citations · 18 works
- 3 Rodolfo Schöneburg Germany · #1,319,596 worldwide 1 citations · 20 works
- 4 Mario Bijelic Germany · #1,538,653 worldwide 21 citations · 19 works
Which keywords describe research at Mercedes-Benz (Germany)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Electric Vehicles, Deep Learning, Lithium-ion Batteries, Autonomous Vehicles, Thermal Management, Model Predictive Control, Cathode Materials and Battery Management Systems.
- Tire-Road Friction Estimation
- Vibration Analysis
- Power Management Strategy
- Design for Manufacture
- Control Strategies
- Vehicle Dynamics
- Nanostructured Anodes
- Battery Materials
- Smart Grid
- Rechargeable Batteries
- Trajectory Prediction
- Renewable Energy Integration
- Energy Storage
- Renewable Energy
- Control Systems
- Battery Management Systems
- Cathode Materials
- Thermal Management
- Lithium-ion Batteries
- Electric Vehicles
- Deep Learning
- Machine Learning
- Autonomous Vehicles
- Neural Networks
- Model Predictive Control
- Thermal Runaway
- Battery Technology
- Collision Avoidance
- Sensor Fusion
- Driver Assistance Systems
- Convolutional Neural Networks
- Power Electronics
- Industrial Automation
- Flexible Automation
- Reconfigurable Manufacturing Systems
- Energy Storage Systems
- Assembly Planning
- Hybrid Vehicles
- Intelligent Transportation Systems
- Active Steering
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 Learning46▲ 3.5×46 topics
- Electric Vehicles33▲ 28×4 topics
- Machine Learning25▲ 1.92×33 topics
- Lithium-ion Batteries24▲ 15×3 topics
- Autonomous Vehicles22▲ 27×5 topics
- Thermal Management20▲ 15×6 topics
- Neural Networks17▲ 2.8×22 topics
- Cathode Materials17▲ 11×3 topics
- Model Predictive Control17▲ 16×5 topics
- Battery Management Systems14▲ 24×1 topic
- Thermal Runaway14▲ 24×1 topic
- Control Systems14▲ 19×5 topics
- Battery Technology14▲ 12×2 topics
- Renewable Energy13▲ 2.2×14 topics
- Collision Avoidance12▲ 17×4 topics
- Energy Storage12▲ 4.8×5 topics
- Sensor Fusion12▲ 27×3 topics
- Renewable Energy Integration11▲ 8.5×6 topics
- Driver Assistance Systems11▲ 50×1 topic
- Trajectory Prediction11▲ 50×1 topic
- Convolutional Neural Networks10▲ 3.6×9 topics
- Rechargeable Batteries10▲ 9.6×2 topics
- Power Electronics10▲ 7.7×6 topics
- Smart Grid10▲ 6.7×5 topics
- Industrial Automation10▲ 37×2 topics
- Battery Materials10▲ 15×1 topic
- Flexible Automation10▲ 97×1 topic
- Nanostructured Anodes10▲ 15×1 topic
- Reconfigurable Manufacturing Systems10▲ 97×1 topic
- Vehicle Dynamics9▲ 41×2 topics
- Energy Storage Systems8▲ 15×2 topics
- Control Strategies8▲ 15×2 topics
- Assembly Planning8▲ 27×1 topic
- Design for Manufacture8▲ 27×1 topic
- Hybrid Vehicles8▲ 56×1 topic
- Power Management Strategy8▲ 56×1 topic
- Intelligent Transportation Systems8▲ 13×4 topics
- Vibration Analysis7▲ 7.0×7 topics
- Active Steering7▲ 60×1 topic
- Tire-Road Friction Estimation7▲ 60×1 topic
Which research topics does Mercedes-Benz (Germany) publish most on?
By volume in 2022–2025: Advanced Battery Technologies Research, Autonomous Vehicle Technology and Safety, Advancements in Battery Materials and Flexible and Reconfigurable Manufacturing Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Battery Technologies Research Automotive Engineering 14 works
- 2 Autonomous Vehicle Technology and Safety Automotive Engineering 11 works
- 3 Advancements in Battery Materials Electrical and Electronic Engineering 10 works
- 4 Flexible and Reconfigurable Manufacturing Systems Industrial and Manufacturing Engineering 10 works
- 5 Electric and Hybrid Vehicle Technologies Automotive Engineering 8 works
- 6 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 8 works
- 7 Vehicle Dynamics and Control Systems Automotive Engineering 7 works
- 8 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 6 works
- 9 Vehicle emissions and performance Automotive Engineering 6 works
- 10 Real-time simulation and control systems Control and Systems Engineering 5 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 Mercedes-Benz (Germany)'s research output changed?
Output in 2018–2022 was 294% higher 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)
- Daimler (Germany)
- Robert Bosch (Germany)
- Stuttgart Technical University of Applied Sciences
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.