Predictive Science (United States)
In research, Predictive Science (United States) stands highest in Physical Sciences (#17,915 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Astronomy and Astrophysics and Physics and Astronomy — Astronomy and Astrophysics is 43.4× its share of world research.
- World rank, 2022–2025
- #19,937 of 28,054 · #24,534 all time
- Rank in United States
- #2,902 of 4,192
- Research works
- 383 ▲ 19% vs 2013–17
- Citations
- 9.3k 24.2 per fractional work
- Top-10% rate
- 15.4% record average 16.5%
- Open access
- 63% world 28%
What is Predictive Science (United States) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #17,915 of 21,541 | 25.4% | 200 |
Each strip is that field’s whole ranked pool, with the notch where Predictive Science (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 Predictive Science (United States) specialise in?
Where its research is concentrated relative to its size: Astronomy and Astrophysics takes 43.4× the share of its output that it takes of world research.
- Astronomy and AstrophysicsSubfield · 23.3 works43×
- Physics and AstronomyField · 23.8 works10×
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, 10.3×. Every wedge is a field page.
- Physics and Astronomy 10.3×
- Decision Sciences 2.7×
- Computer Science 2.0×
- Immunology and Microbiology 1.6×
- Mathematics 1.6×
- Veterinary 1.5×
- Energy 1.3×
- Biochemistry, Genetics and Molecular Biology 1.3×
- Pharmacology, Toxicology and Pharmaceutics 1.2×
- Earth and Planetary Sciences 1.2×
- Psychology 1.2×
- Medicine 1.1×
- Business, Management and Accounting 0.7×
- Environmental Science 0.6×
- Engineering 0.6×
- Health Professions 0.4×
- Neuroscience 0.4×
- Nursing 0.4×
- Economics, Econometrics and Finance 0.3×
- Chemistry 0.2×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.0×
- Materials Science 0.0×
Who are the top researchers at Predictive Science (United States)?
Ranked on the composite score, J. A. Linker, V. S. Titov and Pete Riley lead among researchers whose main affiliation is Predictive Science (United States).
- 1 J. A. Linker United States · #73,867 worldwide 421 citations · 123 works
- 2 V. S. Titov United States · #90,438 worldwide 141 citations · 41 works
- 3 Pete Riley United States · #155,543 worldwide 372 citations · 100 works
- 4 R. Lionello United States · #635,001 worldwide 121 citations · 85 works
- 5 Tibor Török United States · #636,380 worldwide 67 citations · 60 works
- 6 O. Panasenco United States · #946,715 worldwide 2 citations · 24 works
- 7 Pat S. Bolding United States · #967,842 worldwide 15 citations · 16 works
- 8 Cooper Downs United States · #1,000,543 worldwide 56 citations · 52 works
- 9 Gary Miner United States · #1,137,313 worldwide 38 citations · 70 works
- 10 Linda A. Winters-Miner United States · #1,225,967 worldwide 15 citations · 19 works
Which keywords describe research at Predictive Science (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Solar Wind, Coronal Mass Ejections, Solar Dynamics Observatory, Ionosphere, Magnetosphere, Big Data, Machine Learning and Solar System Abundances.
- Business Intelligence
- Virtualization
- Species Distribution Modeling
- Ecological Niche
- Hydrological Modeling
- Model Evaluation
- Modeling
- Photovoltaic Power
- Forecasting
- Pandemic
- Exoplanets
- Magnetosome Formation
- COVID-19
- Solar System Abundances
- Renewable Energy
- Epidemiology
- Deep Learning
- Magnetosphere
- Machine Learning
- Coronal Mass Ejections
- Solar Wind
- Solar Dynamics Observatory
- Ionosphere
- Big Data
- Climate Change
- Healthcare
- Sustainability
- Terrestrial Planets
- Geomagnetic Field
- Artificial Neural Networks
- Stellar Astrophysics
- Solar Energy
- Distributed Systems
- Solar Radiation
- Cloud Computing
- Data Science
- Resource Management
- MapReduce
- Stroke
- Analytics
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
- Solar Wind17▲ 175×2 topics
- Coronal Mass Ejections11▲ 279×1 topic
- Solar Dynamics Observatory11▲ 279×1 topic
- Machine Learning9▲ 2.6×30 topics
- Ionosphere6▲ 106×1 topic
- Magnetosphere6▲ 106×1 topic
- Big Data6▲ 6.2×12 topics
- Deep Learning6▲ 1.63×23 topics
- Climate Change5▲ 1.90×11 topics
- Epidemiology5◆ 1.13×16 topics
- Healthcare4▲ 3.1×8 topics
- Renewable Energy4▲ 2.4×5 topics
- Sustainability3▲ 1.35×6 topics
- Solar System Abundances3▲ 60×1 topic
- Terrestrial Planets3▲ 60×1 topic
- COVID-193▲ 2.1×6 topics
- Geomagnetic Field3▲ 128×1 topic
- Magnetosome Formation3▲ 128×1 topic
- Artificial Neural Networks3▲ 5.7×3 topics
- Exoplanets3▲ 67×1 topic
- Stellar Astrophysics3▲ 67×1 topic
- Pandemic2▲ 2.2×6 topics
- Solar Energy2▲ 7.2×2 topics
- Forecasting2▲ 11×3 topics
- Distributed Systems2▲ 12×3 topics
- Photovoltaic Power2▲ 46×1 topic
- Solar Radiation2▲ 46×1 topic
- Modeling2▲ 7.5×3 topics
- Cloud Computing2▲ 6.6×2 topics
- Model Evaluation2▲ 14×2 topics
- Data Science2▲ 15×2 topics
- Hydrological Modeling2▲ 6.7×3 topics
- Resource Management2▲ 9.3×2 topics
- Ecological Niche2▲ 25×1 topic
- MapReduce2▲ 25×1 topic
- Species Distribution Modeling2▲ 25×1 topic
- Stroke2▲ 8.4×4 topics
- Virtualization2▲ 18×1 topic
- Analytics1▲ 15×1 topic
- Business Intelligence1▲ 15×1 topic
Which research topics does Predictive Science (United States) publish most on?
By volume in 2022–2025: Solar and Space Plasma Dynamics, Ionosphere and magnetosphere dynamics, Astro and Planetary Science and Geomagnetism and Paleomagnetism Studies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Solar and Space Plasma Dynamics Astronomy and Astrophysics 11 works
- 2 Ionosphere and magnetosphere dynamics Astronomy and Astrophysics 6 works
- 3 Astro and Planetary Science Astronomy and Astrophysics 3 works
- 4 Geomagnetism and Paleomagnetism Studies Molecular Biology 3 works
- 5 Stellar, planetary, and galactic studies Astronomy and Astrophysics 3 works
- 6 Solar Radiation and Photovoltaics Artificial Intelligence 2 works
- 7 Species Distribution and Climate Change Ecological Modeling 2 works
- 8 Cloud Computing and Resource Management Information Systems 2 works
- 9 Big Data and Business Intelligence Management Information Systems 1 works
- 10 Advanced Control Systems Optimization Control and Systems Engineering 1 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 Predictive Science (United States)'s research output changed?
Output in 2018–2022 was 19% 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 San Diego
- University of California San Diego
- San Diego State University
- Scripps Research Institute
- University of San Diego
- University of California San Diego Medical Center
- General Atomics (United States)
- Scripps Health
- Naval Medical Center San Diego
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.