Ingenieurgesellschaft Auto und Verkehr (Germany)
In research, Ingenieurgesellschaft Auto und Verkehr (Germany) stands highest in Engineering (#5,605 of 6,636 worldwide) and Physical Sciences (#11,251 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Automotive Engineering — Automotive Engineering is 42.0× its share of world research.
- World rank, 2022–2025
- #20,694 of 28,054 · #19,793 all time
- Rank in Germany
- #808 of 1,178
- Research works
- 1.1k ▲ 17% vs 2013–17
- Citations
- 5.2k 4.8 per fractional work
- Top-10% rate
- 5.6% record average 16.5%
- Open access
- 13% world 28%
What is Ingenieurgesellschaft Auto und Verkehr (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 |
|---|---|---|---|---|---|
| EngineeringField | #5,605 of 6,636 | 5.1% | 122 | #5833 | |
| Physical SciencesDomain | #11,251 of 12,888 | 5.6% | 173 | #11189 |
Each strip is that field’s whole ranked pool, with the notch where Ingenieurgesellschaft Auto und Verkehr (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 Ingenieurgesellschaft Auto und Verkehr (Germany) specialise in?
Where its research is concentrated relative to its size: Automotive Engineering takes 42.0× the share of its output that it takes of world research.
- Automotive EngineeringSubfield · 46.4 works42×
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, 12.1×. Every wedge is a field page.
- Chemical Engineering 12.1×
- Engineering 4.0×
- Computer Science 1.9×
- Business, Management and Accounting 1.4×
- Decision Sciences 1.0×
- Energy 0.9×
- Materials Science 0.5×
- Environmental Science 0.5×
- Health Professions 0.4×
- Chemistry 0.3×
- Immunology and Microbiology 0.3×
- Social Sciences 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Psychology 0.2×
- Arts and Humanities 0.2×
- Physics and Astronomy 0.2×
- Medicine 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Mathematics 0.1×
- Neuroscience 0.1×
- Economics, Econometrics and Finance 0.1×
- Nursing 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at Ingenieurgesellschaft Auto und Verkehr (Germany)?
Ranked on the composite score, Peter Eckert, Matthias Scherge and Tobias Müller-Prothmann lead among researchers whose main affiliation is Ingenieurgesellschaft Auto und Verkehr (Germany).
- 1 Peter Eckert Germany · #720,161 worldwide 56 citations · 23 works
- 2 Matthias Scherge Germany · #796,116 worldwide 72 citations · 25 works
- 3 Tobias Müller-Prothmann Germany · #840,232 worldwide 6 citations · 23 works
- 4 Axel Schild Germany · #1,279,515 worldwide 40 citations · 21 works
- 5 Matthias Schultalbers Germany · #1,328,183 worldwide 22 citations · 21 works
Which keywords describe research at Ingenieurgesellschaft Auto und Verkehr (Germany)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Electric Vehicles, Model Predictive Control, Autonomous Vehicles, Control Systems, Renewable Energy, Deep Learning, Thermal Management and Smart Grid.
- Lithium-ion Batteries
- Engineering
- Big Data
- Vibration Analysis
- Hardware-in-the-Loop
- Neural Networks
- Active Steering
- Trajectory Prediction
- Soot Formation
- Vehicle Emissions
- Sensor Fusion
- Collision Avoidance
- Power Electronics
- Emissions
- Hybrid Vehicles
- Smart Grid
- Sustainability
- Control Systems
- Renewable Energy
- Deep Learning
- Electric Vehicles
- Model Predictive Control
- Autonomous Vehicles
- Machine Learning
- Thermal Management
- Energy Storage Systems
- Power Management Strategy
- Chemical Kinetics
- Renewable Energy Integration
- Fuel Consumption
- Eco-Driving
- Combustion
- Driver Assistance Systems
- Vehicle Dynamics
- Tire-Road Friction Estimation
- Electric Drives
- Real-Time Simulation
- Fluid Dynamics
- Mathematical Modeling
- Materials Science
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 Vehicles28▲ 45×4 topics
- Deep Learning23▲ 3.3×33 topics
- Model Predictive Control22▲ 40×5 topics
- Renewable Energy20▲ 6.6×13 topics
- Autonomous Vehicles19▲ 45×5 topics
- Control Systems19▲ 49×6 topics
- Machine Learning16▲ 2.3×19 topics
- Sustainability14▲ 2.9×10 topics
- Thermal Management13▲ 18×5 topics
- Smart Grid12▲ 16×7 topics
- Energy Storage Systems12▲ 41×2 topics
- Hybrid Vehicles12▲ 155×1 topic
- Power Management Strategy12▲ 155×1 topic
- Emissions11▲ 26×3 topics
- Chemical Kinetics11▲ 58×2 topics
- Power Electronics10▲ 15×6 topics
- Renewable Energy Integration10▲ 15×5 topics
- Collision Avoidance9▲ 25×3 topics
- Fuel Consumption9▲ 61×2 topics
- Sensor Fusion9▲ 41×3 topics
- Eco-Driving9▲ 83×1 topic
- Vehicle Emissions9▲ 83×1 topic
- Combustion9▲ 68×1 topic
- Soot Formation9▲ 93×1 topic
- Driver Assistance Systems9▲ 73×1 topic
- Trajectory Prediction9▲ 73×1 topic
- Vehicle Dynamics9▲ 72×2 topics
- Active Steering8▲ 145×1 topic
- Tire-Road Friction Estimation8▲ 145×1 topic
- Neural Networks8▲ 2.7×17 topics
- Electric Drives8▲ 97×2 topics
- Hardware-in-the-Loop8▲ 157×1 topic
- Real-Time Simulation8▲ 157×1 topic
- Vibration Analysis8▲ 14×4 topics
- Fluid Dynamics8▲ 26×3 topics
- Big Data7▲ 3.8×7 topics
- Mathematical Modeling7▲ 37×2 topics
- Engineering7▲ 70×1 topic
- Materials Science7▲ 79×1 topic
- Lithium-ion Batteries6▲ 6.9×3 topics
Which research topics does Ingenieurgesellschaft Auto und Verkehr (Germany) publish most on?
By volume in 2022–2025: Electric and Hybrid Vehicle Technologies, Vehicle emissions and performance, Advanced Combustion Engine Technologies and Autonomous Vehicle Technology and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Electric and Hybrid Vehicle Technologies Automotive Engineering 12 works
- 2 Vehicle emissions and performance Automotive Engineering 9 works
- 3 Advanced Combustion Engine Technologies Fluid Flow and Transfer Processes 9 works
- 4 Autonomous Vehicle Technology and Safety Automotive Engineering 9 works
- 5 Vehicle Dynamics and Control Systems Automotive Engineering 8 works
- 6 Real-time simulation and control systems Control and Systems Engineering 8 works
- 7 Physics and Engineering Research Articles Computational Mechanics 7 works
- 8 Advanced Battery Technologies Research Automotive Engineering 5 works
- 9 Safety Systems Engineering in Autonomy Safety, Risk, Reliability and Quality 4 works
- 10 Flexible and Reconfigurable Manufacturing Systems Industrial and Manufacturing 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: 28% of research is openly available.
World: 19% is written across borders.
How has Ingenieurgesellschaft Auto und Verkehr (Germany)'s research output changed?
Output in 2018–2022 was 17% 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 Berlin
- Freie Universität Berlin
- Technische Universität Berlin
- Humboldt-Universität zu Berlin
- Charité - Universitätsmedizin Berlin
- Fritz Haber Institute of the Max Planck Society
- Federal Institute For Materials Research and Testing
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
- Robert Koch Institute
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.