Each strip is that field's whole ranked pool, with the notch where Sequoia (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 average mark, because the average
differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Sequoia (United States) work in?
Life Sciences11%Physical Sciences40%Health Sciences21%Social Sciences28%
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
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.
more than its size predictsabout as predictedless
Rings at 0.5×, 1× and 2×. Widest outward: Mathematics, 4.0×. Every wedge is a field page.
All 21 fields, with their numbers
Mathematics4.04×2 works
Arts and Humanities2.97×3 works
Pharmacology, Toxicology and Pharmaceutics2.17×0 works
Psychology2.17×2 works
Environmental Science2.09×3 works
Computer Science1.85×5 works
Agricultural and Biological Sciences1.26×2 works
Energy1.11×0 works
Medicine1.01×6 works
Decision Sciences0.96×0 works
Economics, Econometrics and Finance0.87×1 works
Earth and Planetary Sciences0.72×0 works
Social Sciences0.71×3 works
Health Professions0.65×1 works
Immunology and Microbiology0.58×0 works
Biochemistry, Genetics and Molecular Biology0.57×1 works
What are the most cited papers from Sequoia (United States)?
The most cited paper from Sequoia (United States) is "Generalized linear and generalized additive models in studies of species distributions: setting the scene" (Antoine Guisan, Thomas C. Edwards, Trevor Hastie, 2002), with 2,380 citations. Next come "Molecular analysis of the bacterial microbiota in the human stomach" (1,160) and "Extensions of compressed sensing" (956).
Which keywords describe research at Sequoia (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Social Network Analysis, Text Analysis, Treatment, Artificial Intelligence, Climate Change, Digital Humanities and Literary History.
▲ more of its work than of the world's◆ about the world's share▼ less than the world's
Size is fractional works in 2022-now 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 13 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 13 words, with their numbers
Machine Learning3▲ 2.6×11 topics
Climate Change2▲ 2.3×16 topics
Artificial Intelligence2▲ 3.6×5 topics
Treatment2▲ 4.1×5 topics
Deep Learning2▲ 1.30×5 topics
Social Network Analysis2▲ 39×3 topics
Epidemiology1◆ 1.07×7 topics
Text Analysis1▲ 97×2 topics
Innovation1▲ 3.5×3 topics
Digital Humanities1▲ 230×1 topic
Healthcare1▲ 3.0×3 topics
Literary History1▲ 113×1 topic
Biodiversity1▲ 4.2×5 topics
Which research topics does Sequoia (United States) publish most on?
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.
58%42%
openly available57.9%not open42.1%
World: 40% of research is openly available.
25%75%
with international co-authors25.1%domestic only74.9%
World: 18% is written across borders.
How has Sequoia (United States)'s research output changed?
Output in 2022-2025 was 63% lower than in 2018-2021.
grewheldshrank
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Sequoia (United States) as a percentage of every work published that year, 0.00015% in 2024.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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