Computational Physics (United States)
In research, Computational Physics (United States) stands highest in Physical Sciences (#3,510 of 12,888 worldwide) and Physics and Astronomy (#1,355 of 1,646 worldwide), 2022–2025. Relative to its size it is most specialised in Astronomy and Astrophysics and Physics and Astronomy — Astronomy and Astrophysics is 15.9× its share of world research.
- World rank, 2022–2025
- #5,744 of 28,054 · #2,933 all time
- Rank in United States
- #776 of 4,192
- Research works
- 1.9k ▼ 15% vs 2013–17
- Citations
- 46k 23.7 per fractional work
- Top-10% rate
- 21.8% record average 16.5%
- Open access
- 39% world 28%
What is Computational Physics (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 | #3,510 of 12,888 | 21.4% | 219 | #2003 | |
| Physics and AstronomyField | #1,355 of 1,646 | 28.1% | 63 | #1800 |
Each strip is that field’s whole ranked pool, with the notch where Computational Physics (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 Computational Physics (United States) specialise in?
Where its research is concentrated relative to its size: Astronomy and Astrophysics takes 15.9× the share of its output that it takes of world research.
- Astronomy and AstrophysicsSubfield · 21.4 works16×
- Physics and AstronomyField · 63.3 works11×
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: Physics and Astronomy, 11.0×. Every wedge is a field page.
- Physics and Astronomy 11.0×
- Earth and Planetary Sciences 3.6×
- Materials Science 3.2×
- Chemistry 2.9×
- Chemical Engineering 2.7×
- Mathematics 2.0×
- Engineering 1.4×
- Computer Science 1.4×
- Decision Sciences 1.3×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Neuroscience 0.5×
- Energy 0.5×
- Environmental Science 0.5×
- Immunology and Microbiology 0.4×
- Dentistry 0.4×
- Economics, Econometrics and Finance 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Health Professions 0.2×
- Social Sciences 0.1×
- Nursing 0.1×
- Psychology 0.1×
- Arts and Humanities 0.1×
- Business, Management and Accounting 0.0×
Who are the top researchers at Computational Physics (United States)?
Ranked on the composite score, D. J. Strickland, J. S. Evans and Hans Gerd Evertz lead among researchers whose main affiliation is Computational Physics (United States).
- 1 D. J. Strickland United States · #573,525 worldwide 69 citations · 29 works
- 2 J. S. Evans United States · #759,241 worldwide 41 citations · 39 works
- 3 Hans Gerd Evertz United States · #823,573 worldwide 126 citations · 42 works
- 4 J. L. Gannon United States · #981,579 worldwide 41 citations · 21 works
- 5 Akshai K. Runchal United States · #1,069,709 worldwide 13 citations · 17 works
- 6 Winfried Kernbichler United States · #1,167,308 worldwide 44 citations · 59 works
- 7 James W. Rottman United States · #1,192,839 worldwide 30 citations · 20 works
- 8 D. J. Strickland United States · #1,226,535 worldwide 50 citations · 21 works
- 9 J. D. Lumpe United States · #1,383,329 worldwide 18 citations · 39 works
- 10 B. Schnizer United States · #1,532,631 worldwide 10 citations · 20 works
Which keywords describe research at Computational Physics (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Molecular Dynamics, Machine Learning, Solar Wind, Adaptive Mesh Refinement, High-Order Schemes, Superconductivity, Dark Matter and Quantum Information.
- Turbulent Flows
- Optical Lattices
- Entanglement
- Superfluidity
- Nucleosynthesis
- Large-Eddy Simulation
- Crystal Growth
- Quantum Simulation
- Turbulence Modeling
- Shock-Wave Interactions
- Electronic Structure
- Supernovae
- Gravitational Waves
- Radial Basis Functions
- Ionosphere
- Density Functional Theory
- Dark Matter
- High-Order Schemes
- Solar Wind
- Deep Learning
- Machine Learning
- Molecular Dynamics
- Adaptive Mesh Refinement
- Superconductivity
- Quantum Information
- Quantum Mechanics
- Magnetosphere
- Computational Chemistry
- Crystal Structures
- Black Holes
- Fluid-Structure Interaction
- Tomography
- Two-Dimensional Materials
- Vortex Dynamics
- High-Throughput
- Materials Informatics
- Particle Physics
- Hydrogen Bonding
- Fluid Mechanics
- Particle Image Velocimetry
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
- Machine Learning16▲ 1.91×45 topics
- Deep Learning9◆ 1.02×34 topics
- Molecular Dynamics8▲ 19×6 topics
- Solar Wind7▲ 30×2 topics
- Adaptive Mesh Refinement6▲ 35×2 topics
- High-Order Schemes6▲ 35×2 topics
- Superconductivity5▲ 12×9 topics
- Dark Matter5▲ 17×4 topics
- Quantum Information5▲ 16×3 topics
- Density Functional Theory5▲ 18×6 topics
- Quantum Mechanics5▲ 23×3 topics
- Ionosphere5▲ 33×1 topic
- Magnetosphere5▲ 33×1 topic
- Radial Basis Functions5▲ 26×2 topics
- Computational Chemistry5▲ 25×4 topics
- Gravitational Waves5▲ 32×2 topics
- Crystal Structures4▲ 22×2 topics
- Supernovae4▲ 20×2 topics
- Black Holes4▲ 17×3 topics
- Electronic Structure4▲ 8.8×8 topics
- Fluid-Structure Interaction4▲ 10×5 topics
- Shock-Wave Interactions4▲ 41×1 topic
- Tomography4▲ 8.8×5 topics
- Turbulence Modeling4▲ 41×1 topic
- Two-Dimensional Materials4▲ 6.7×4 topics
- Quantum Simulation4▲ 19×2 topics
- Vortex Dynamics4▲ 13×3 topics
- Crystal Growth4▲ 5.2×7 topics
- High-Throughput4▲ 28×1 topic
- Large-Eddy Simulation4▲ 7.7×4 topics
- Materials Informatics4▲ 28×1 topic
- Nucleosynthesis4▲ 29×3 topics
- Particle Physics4▲ 18×2 topics
- Superfluidity4▲ 32×2 topics
- Hydrogen Bonding4▲ 16×5 topics
- Entanglement3▲ 7.9×4 topics
- Fluid Mechanics3▲ 16×2 topics
- Optical Lattices3▲ 17×2 topics
- Particle Image Velocimetry3▲ 16×1 topic
- Turbulent Flows3▲ 11×1 topic
Which research topics does Computational Physics (United States) publish most on?
By volume in 2022–2025: Ionosphere and magnetosphere dynamics, Computational Fluid Dynamics and Aerodynamics, Machine Learning in Materials Science and Fluid Dynamics and Turbulent Flows.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Ionosphere and magnetosphere dynamics Astronomy and Astrophysics 5 works
- 2 Computational Fluid Dynamics and Aerodynamics Computational Mechanics 4 works
- 3 Machine Learning in Materials Science Materials Chemistry 4 works
- 4 Fluid Dynamics and Turbulent Flows Computational Mechanics 3 works
- 5 Cold Atom Physics and Bose-Einstein Condensates Atomic and Molecular Physics, and Optics 3 works
- 6 Particle physics theoretical and experimental studies Nuclear and High Energy Physics 2 works
- 7 Solar and Space Plasma Dynamics Astronomy and Astrophysics 2 works
- 8 Advanced Chemical Physics Studies Atomic and Molecular Physics, and Optics 2 works
- 9 Pulsars and Gravitational Waves Research Astronomy and Astrophysics 2 works
- 10 Gamma-ray bursts and supernovae Astronomy and Astrophysics 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 Computational Physics (United States)'s research output changed?
Output in 2018–2022 was 15% 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.
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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.