Boeing (United States)
In research, Boeing (United States) stands highest in Physical Sciences (#8,419 of 12,888 worldwide) and Engineering (#4,862 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Aerospace Engineering — Aerospace Engineering is 13.6× its share of world research.
- World rank, 2022–2025
- #16,020 of 28,054 · #1,076 all time
- Rank in United States
- #2,266 of 4,192
- Research works
- 8.4k ▼ 39% vs 2013–17
- Citations
- 147k 17.4 per fractional work
- Top-10% rate
- 14.9% record average 16.5%
- Open access
- 15% world 28%
What is Boeing (United States) 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 | #8,419 of 12,888 | 15.5% | 147 | #772 | |
| EngineeringField | #4,862 of 6,636 | 15.5% | 94 | #247 |
Each strip is that field’s whole ranked pool, with the notch where Boeing (United States) 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 Boeing (United States) specialise in?
Where its research is concentrated relative to its size: Aerospace Engineering takes 13.6× the share of its output that it takes of world research.
- Aerospace EngineeringSubfield · 26.9 works14×
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, 3.7×. Every wedge is a field page.
- Engineering 3.7×
- Decision Sciences 2.6×
- Physics and Astronomy 2.2×
- Computer Science 1.9×
- Materials Science 1.5×
- Chemical Engineering 1.1×
- Economics, Econometrics and Finance 1.0×
- Environmental Science 0.8×
- Earth and Planetary Sciences 0.7×
- Business, Management and Accounting 0.6×
- Mathematics 0.6×
- Pharmacology, Toxicology and Pharmaceutics 0.6×
- Chemistry 0.4×
- Psychology 0.2×
- Health Professions 0.2×
- Social Sciences 0.2×
- Neuroscience 0.1×
- Dentistry 0.1×
- Arts and Humanities 0.1×
- Medicine 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
Who are the top researchers at Boeing (United States)?
Ranked on the composite score, Philippe R. Spalart, Eugene Lavretsky and George Marsaglia lead among researchers whose main affiliation is Boeing (United States).
- 1 Philippe R. Spalart United States · #10,469 worldwide 1.1k citations · 61 works
- 2 Eugene Lavretsky United States · #59,493 worldwide 480 citations · 58 works
- 3 George Marsaglia United States · #66,946 worldwide 630 citations · 26 works
- 4 K. R. Housen United States · #72,050 worldwide 368 citations · 46 works
- 5 L. J. Hart-Smith United States · #73,169 worldwide 341 citations · 27 works
- 6 Kevin A. Wise United States · #89,098 worldwide 315 citations · 26 works
- 7 John Vian United States · #114,976 worldwide 193 citations · 27 works
- 8 Edward N. Tinoco United States · #196,188 worldwide 193 citations · 22 works
- 9 John E. Bussoletti United States · #201,989 worldwide 169 citations · 21 works
- 10 Kamiar Karimi United States · #230,381 worldwide 222 citations · 17 works
Which keywords describe research at Boeing (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Large-Eddy Simulation, Heat Transfer, Additive Manufacturing, Microstructure, Turbulent Flow, Turbulent Flows, Mechanical Properties and Vortex Dynamics.
- Aerodynamics
- Complex Adaptive Systems
- Shock-Wave Interactions
- Boundary Layer
- Radial Basis Functions
- Shape Memory Alloys
- Flow Control
- Robotics Programming
- Humanoid Robotics
- Learning Environments
- STEM Education
- Risk Assessment
- Big Data
- Boundary Layer Transition
- Design for Manufacture
- Vortex Dynamics
- Turbulent Flow
- Sustainability
- Mechanical Properties
- Heat Transfer
- Large-Eddy Simulation
- Additive Manufacturing
- Microstructure
- Education
- Turbulent Flows
- Assembly Planning
- Engineering Design
- Particle Image Velocimetry
- Mental Workload
- Supply Chain Management
- Air Quality
- Brain Activity
- Hypersonic Effect
- Ultrasonic Perception
- Martensitic Transformation
- Monetary Policy
- Adaptive Mesh Refinement
- High-Order Schemes
- Turbulence Modeling
- Neural Network
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
- Large-Eddy Simulation9▲ 28×5 topics
- Heat Transfer8▲ 9.3×10 topics
- Additive Manufacturing7▲ 13×6 topics
- Mechanical Properties7▲ 4.0×16 topics
- Microstructure7▲ 7.7×9 topics
- Sustainability6▲ 1.55×7 topics
- Education6▲ 1.90×7 topics
- Turbulent Flow5▲ 25×3 topics
- Turbulent Flows5▲ 29×2 topics
- Vortex Dynamics5▲ 25×2 topics
- Assembly Planning5▲ 36×1 topic
- Design for Manufacture5▲ 36×1 topic
- Engineering Design4▲ 39×3 topics
- Boundary Layer Transition4▲ 37×1 topic
- Particle Image Velocimetry4▲ 37×1 topic
- Big Data4▲ 2.8×7 topics
- Mental Workload4▲ 48×2 topics
- Risk Assessment4▲ 3.6×6 topics
- Supply Chain Management4▲ 2.6×5 topics
- STEM Education4▲ 5.0×2 topics
- Air Quality4▲ 12×3 topics
- Learning Environments4▲ 79×2 topics
- Brain Activity4▲ 37×2 topics
- Humanoid Robotics4▲ 222×1 topic
- Hypersonic Effect4▲ 155×1 topic
- Robotics Programming4▲ 222×1 topic
- Ultrasonic Perception4▲ 155×1 topic
- Flow Control3▲ 36×2 topics
- Martensitic Transformation3▲ 134×1 topic
- Shape Memory Alloys3▲ 134×1 topic
- Monetary Policy3▲ 7.4×2 topics
- Radial Basis Functions3▲ 25×2 topics
- Adaptive Mesh Refinement3▲ 27×2 topics
- Boundary Layer3▲ 13×3 topics
- High-Order Schemes3▲ 27×2 topics
- Shock-Wave Interactions3▲ 41×1 topic
- Turbulence Modeling3▲ 41×1 topic
- Complex Adaptive Systems3▲ 53×2 topics
- Neural Network2▲ 7.8×2 topics
- Aerodynamics2▲ 21×3 topics
Which research topics does Boeing (United States) publish most on?
By volume in 2022–2025: Manufacturing Process and Optimization, Fluid Dynamics and Turbulent Flows, Educational Robotics and Engineering and Human auditory perception and evaluation.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 5 works
- 2 Fluid Dynamics and Turbulent Flows Computational Mechanics 4 works
- 3 Educational Robotics and Engineering Artificial Intelligence 4 works
- 4 Human auditory perception and evaluation Aerospace Engineering 4 works
- 5 Shape Memory Alloy Transformations Materials Chemistry 3 works
- 6 Computational Fluid Dynamics and Aerodynamics Computational Mechanics 3 works
- 7 Spacecraft Design and Technology Aerospace Engineering 2 works
- 8 Aerodynamics and Acoustics in Jet Flows Aerospace Engineering 2 works
- 9 Diverse Scientific and Economic Studies Economics and Econometrics 2 works
- 10 Big Data and Business Intelligence Management Information Systems 2 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 Boeing (United States)'s research output changed?
Output in 2018–2022 was 39% 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 Chicago
- University of Chicago
- University of Illinois Chicago
- Loyola University Chicago
- Rush University Medical Center
- Illinois Institute of Technology
- DePaul University
- Experimental Station
- University of Chicago Medical Center
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.