Applied Biomathematics (United States)
- World rank, all time
- #20,786 of 42,892
- Rank in United States
- #4,496 of 8,685
- Research works
- 325 ▼ 24% vs 2013–17
- Citations
- 15k 45.9 per fractional work
- Top-10% rate
- 8.0% record average 16.5%
- Open access
- 30% world 28%
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: Mathematics, 8.6×. Every wedge is a field page.
- Mathematics 8.6×
- Veterinary 6.6×
- Medicine 2.6×
- Biochemistry, Genetics and Molecular Biology 2.1×
- Chemistry 1.3×
- Immunology and Microbiology 1.1×
- Health Professions 1.0×
- Decision Sciences 0.9×
- Social Sciences 0.8×
- Environmental Science 0.7×
- Computer Science 0.4×
- Nursing 0.4×
- Psychology 0.2×
- Agricultural and Biological Sciences 0.2×
- Engineering 0.1×
- Materials Science 0.1×
- Economics, Econometrics and Finance 0.1×
Who are the top researchers at Applied Biomathematics (United States)?
Ranked on the composite score, Scott Ferson lead among researchers whose main affiliation is Applied Biomathematics (United States).
- 1 Scott Ferson United States · #224,778 worldwide 289 citations · 66 works
Which keywords describe research at Applied Biomathematics (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Invasive Species, Bayesian Methods, Biodiversity, Sensitivity Analysis, Population Dynamics, Habitat Fragmentation, Population Genetics and Conservation Biology.
- Species Distribution Modeling
- Model Evaluation
- Clustering
- Variable Selection
- Survival Analysis
- Functional Diversity
- Community Ecology
- Uncertainty Quantification
- Polynomial Chaos
- High-Dimensional Data
- Bayesian Inference
- Monte Carlo Simulation
- Model Selection
- Stochastic Differential Equations
- Bayesian Networks
- Population Genetics
- Population Dynamics
- Biomarkers
- Invasive Species
- Climate Change
- Epidemiology
- Biodiversity
- Bayesian Methods
- Sensitivity Analysis
- Habitat Fragmentation
- Conservation Biology
- Regression Analysis
- Global Change
- Genetic Variation
- Ecosystem
- Causal Inference
- Biological Invasions
- Statistical Methods
- Adaptive Designs
- False Discovery Rate
- Species Richness
- Principal Component Analysis
- Outlier Detection
- Habitat Selection
- Ecological Niche
Size is fractional works in all years 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
- Epidemiology15▲ 1.17×61 topics
- Climate Change13▲ 1.47×26 topics
- Biodiversity11▲ 4.5×10 topics
- Invasive Species11▲ 5.9×9 topics
- Bayesian Methods9▲ 46×2 topics
- Biomarkers8▲ 4.2×12 topics
- Sensitivity Analysis8▲ 21×3 topics
- Population Dynamics8▲ 7.8×6 topics
- Habitat Fragmentation7▲ 7.7×4 topics
- Population Genetics7▲ 13×5 topics
- Conservation Biology7▲ 18×3 topics
- Bayesian Networks6▲ 23×2 topics
- Regression Analysis6▲ 32×2 topics
- Stochastic Differential Equations6▲ 26×2 topics
- Global Change6▲ 5.9×3 topics
- Model Selection6▲ 15×3 topics
- Genetic Variation6▲ 5.4×7 topics
- Monte Carlo Simulation5▲ 5.4×3 topics
- Ecosystem5▲ 11×2 topics
- Bayesian Inference5▲ 13×4 topics
- Causal Inference5▲ 46×2 topics
- High-Dimensional Data5▲ 16×3 topics
- Biological Invasions5▲ 14×2 topics
- Polynomial Chaos5▲ 36×1 topic
- Statistical Methods5▲ 35×2 topics
- Uncertainty Quantification5▲ 16×1 topic
- Adaptive Designs5▲ 61×1 topic
- Community Ecology5▲ 14×1 topic
- False Discovery Rate5▲ 61×1 topic
- Functional Diversity5▲ 22×1 topic
- Species Richness5▲ 19×2 topics
- Survival Analysis5▲ 5.5×6 topics
- Principal Component Analysis5▲ 10×3 topics
- Variable Selection5▲ 15×2 topics
- Outlier Detection4▲ 16×2 topics
- Clustering4▲ 13×2 topics
- Habitat Selection4▲ 14×2 topics
- Model Evaluation4▲ 12×2 topics
- Ecological Niche4▲ 26×1 topic
- Species Distribution Modeling4▲ 26×1 topic
Which research topics does Applied Biomathematics (United States) publish most on?
By volume in 2022–2025: Acute Myeloid Leukemia Research, Education and Critical Thinking Development, Advanced Causal Inference Techniques and Chronic Myeloid Leukemia Treatments.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Acute Myeloid Leukemia Research Hematology 1 works
- 2 Education and Critical Thinking Development Education 1 works
- 3 Advanced Causal Inference Techniques Statistics and Probability 1 works
- 4 Chronic Myeloid Leukemia Treatments Hematology 1 works
- 5 Statistical Methods and Inference Statistics and Probability 0 works
- 6 Privacy, Security, and Data Protection Sociology and Political Science 0 works
- 7 Statistical Methods and Bayesian Inference Statistics and Probability 0 works
- 8 Obesity, Physical Activity, Diet Public Health, Environmental and Occupational Health 0 works
- 9 Click Chemistry and Applications Organic Chemistry 0 works
- 10 Carcinogens and Genotoxicity Assessment Cancer Research 0 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 Applied Biomathematics (United States)'s research output changed?
Output in 2018–2022 was 24% 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.