Semantic Designs (United States)
In research, Semantic Designs (United States) stands highest in Social Sciences (#3,152 of 14,833 worldwide), Computer Science (#1,773 of 6,336 worldwide) and Physical Sciences (#8,221 of 17,446 worldwide), over all time. Relative to its size it is most specialised in Information Systems and Management, Literature and Literary Theory and Decision Sciences (Information Systems and Management is 31.9× its share of world research).
- World rank, all time
- #9,691 of 34,923
- Rank in United States
- #1,998 of 7,310
- Research works
- 467 ▲ 50% vs 2018-21
- Citations
- 2.9k 6.2 per fractional work
- Top-10% rate
- 29.1% all institutions 10.0%
- vs its own fields
- 1.30× 1.00× is exactly expected
- Open access
- 91% world 40%
- International
- 23% world 18%
What is Semantic Designs (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 |
|---|---|---|---|---|
| Social SciencesDomain | #3,152 of 14,833 | 28.9% | 257 | |
| Computer ScienceField | #1,773 of 6,336 | 25.1% | 137 | |
| Physical SciencesDomain | #8,221 of 17,446 | 23.9% | 178 |
Each strip is that field's whole ranked pool, with the notch where Semantic Designs (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 Semantic Designs (United States) work in?
In 2022-now, 60% of research at Semantic Designs (United States) is in Social Sciences, 33% in Physical Sciences. Its largest fields are Computer Science (25%), Social Sciences (22%), Arts and Humanities (18%). It does 2.4× the world's share of Social Sciences.
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.
Its 4 domains and 20 fields, with their numbers
- Social Sciences23460.2%
- Social Sciences8622.2%
- Arts and Humanities7018.1%
- Decision Sciences4110.5%
- Business, Management and Accounting143.7%
- Psychology143.6%
- Economics, Econometrics and Finance82.2%
- Physical Sciences13033.3%
- Computer Science9624.7%
- Materials Science112.9%
- Physics and Astronomy71.9%
- Engineering61.5%
- Environmental Science41.1%
- Earth and Planetary Sciences41.0%
- Mathematics10.2%
- Life Sciences143.5%
- Health Sciences123.0%
- Medicine112.9%
- Health Professions10.1%
What does Semantic Designs (United States) specialise in?
Where its research is concentrated relative to its size: Information Systems and Management takes 31.9× the share of its output that it takes of world research.
- Information Systems and ManagementSubfield · 35.4 works32×
- Literature and Literary TheorySubfield · 31.7 works15×
- Decision SciencesField · 41.0 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: Decision Sciences, 10.9×. Every wedge is a field page.
All 20 fields, with their numbers
- Decision Sciences10.90×41 works
- Arts and Humanities6.25×70 works
- Computer Science3.17×96 works
- Social Sciences1.75×86 works
- Psychology1.17×14 works
- Business, Management and Accounting1.15×14 works
- Economics, Econometrics and Finance1.02×8 works
- Physics and Astronomy0.84×7 works
- Materials Science0.82×11 works
- Neuroscience0.74×5 works
- Earth and Planetary Sciences0.66×4 works
- Biochemistry, Genetics and Molecular Biology0.34×7 works
- Environmental Science0.23×4 works
- Mathematics0.20×1 works
- Immunology and Microbiology0.19×1 works
- Medicine0.15×11 works
- Engineering0.10×6 works
- Agricultural and Biological Sciences0.06×1 works
- Health Professions0.05×0 works
- Pharmacology, Toxicology and Pharmaceutics0.03×0 works
- Decision Sciences 10.9×
- Arts and Humanities 6.2×
- Computer Science 3.2×
- Social Sciences 1.8×
- Psychology 1.2×
- Business, Management and Accounting 1.1×
- Economics, Econometrics and Finance 1.0×
- Physics and Astronomy 0.8×
- Materials Science 0.8×
- Neuroscience 0.7×
- Earth and Planetary Sciences 0.7×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Environmental Science 0.2×
- Mathematics 0.2×
- Immunology and Microbiology 0.2×
- Medicine 0.1×
- Engineering 0.1×
- Agricultural and Biological Sciences 0.1×
- Health Professions 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
Who are the top researchers at Semantic Designs (United States)?
Ranked on the quality score, Lee Sharks, Johannes Sigil and Talos Morrow lead among researchers whose main affiliation is Semantic Designs (United States).
- 1
Lee Sharks
United States · #1,083 worldwide 1.8k citations · 372 works
- 2
Johannes Sigil
United States · #8,350 worldwide 774 citations · 210 works
- 3
Talos Morrow
United States · #48,671 worldwide 335 citations · 78 works
- 4
Rex Fraction
United States · #96,142 worldwide 267 citations · 65 works
- 5
Rex Fraction
United States · #116,737 worldwide 341 citations · 42 works
- 6
Sparrow Wells
United States · #167,815 worldwide 184 citations · 35 works
- 7
Assembly Chorus
United States · #234,965 worldwide 146 citations · 39 works
- 8
Ayanna Vox
United States · #316,153 worldwide 134 citations · 32 works
- 9
Johannes Sigil
United States · #357,059 worldwide 68 citations · 26 works
- 10
Sen Kuro
United States · #425,182 worldwide 112 citations · 20 works
Which keywords describe research at Semantic Designs (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Big Data, Artificial Intelligence, Ontologies, Workflow Management, Bioinformatics, Reproducibility and Scientific Workflows.
- International Law
- Computational Text Analysis
- Algorithmic Bias
- Knowledge Representation
- Discrimination
- Data Sharing
- Social Learning
- Ecology
- Cultural Evolution
- Data Mining
- Ethics
- Language
- Digital Repositories
- Natural Language Processing
- Digital Humanities
- Data Visualization
- Scientific Workflows
- Bioinformatics
- Ontologies
- Artificial Intelligence
- Machine Learning
- Big Data
- Workflow Management
- Reproducibility
- Text Mining
- Text Analysis
- Literary History
- Semantic Web
- Surveillance
- Data Integration
- Topic Modeling
- Linked Data
- Data Citation
- Phylogenetics
- Text Classification
- Scientific Data Management
- High-Throughput
- Materials Informatics
- Fairness
- Social Science Research
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 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 Learning55▲ 4.2×24 topics
- Artificial Intelligence37▲ 6.6×16 topics
- Big Data36▲ 9.7×14 topics
- Ontologies34▲ 155×2 topics
- Workflow Management34▲ 120×2 topics
- Bioinformatics32▲ 71×2 topics
- Reproducibility32▲ 211×1 topic
- Scientific Workflows32▲ 211×1 topic
- Text Mining31▲ 60×2 topics
- Data Visualization27▲ 128×3 topics
- Text Analysis26▲ 148×2 topics
- Digital Humanities25▲ 440×1 topic
- Literary History25▲ 216×1 topic
- Natural Language Processing20▲ 22×5 topics
- Semantic Web19▲ 52×4 topics
- Digital Repositories18▲ 131×2 topics
- Surveillance17▲ 15×4 topics
- Language17▲ 17×4 topics
- Data Integration16▲ 24×4 topics
- Ethics16▲ 8.1×10 topics
- Topic Modeling15▲ 26×2 topics
- Data Mining15▲ 5.2×6 topics
- Linked Data13▲ 85×2 topics
- Cultural Evolution13▲ 64×2 topics
- Data Citation13▲ 64×2 topics
- Ecology13▲ 19×2 topics
- Phylogenetics12▲ 63×1 topic
- Social Learning12▲ 111×1 topic
- Text Classification12▲ 19×2 topics
- Data Sharing12▲ 96×1 topic
- Scientific Data Management12▲ 116×1 topic
- Discrimination12▲ 14×2 topics
- High-Throughput11▲ 47×1 topic
- Knowledge Representation11▲ 33×5 topics
- Materials Informatics11▲ 47×1 topic
- Algorithmic Bias10▲ 31×1 topic
- Fairness10▲ 26×1 topic
- Computational Text Analysis10▲ 110×1 topic
- Social Science Research10▲ 102×1 topic
- International Law10▲ 8.1×6 topics
Which research topics does Semantic Designs (United States) publish most on?
By volume in 2022-now: Scientific Computing and Data Management, Digital Humanities and Scholarship, Language and cultural evolution and Research Data Management Practices.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Scientific Computing and Data Management Information Systems and Management 32 works
- 2 Digital Humanities and Scholarship Literature and Literary Theory 25 works
- 3 Language and cultural evolution Cultural Studies 12 works
- 4 Research Data Management Practices Information Systems 12 works
- 5 Machine Learning in Materials Science Materials Chemistry 11 works
- 6 Ethics and Social Impacts of AI Safety Research 10 works
- 7 Computational and Text Analysis Methods General Social Sciences 10 works
- 8 Innovation, Sustainability, Human-Machine Systems Sociology and Political Science 8 works
- 9 Semantic Web and Ontologies Artificial Intelligence 8 works
- 10 Authorship Attribution and Profiling Artificial Intelligence 7 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: 40% of research is openly available.
World: 18% is written across borders.
How has Semantic Designs (United States)'s research output changed?
Output in 2022-2025 was 50% higher than in 2018-2021.
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 Semantic Designs (United States) as a percentage of every work published that year, 0.000060% in 2024.
Fractional works of Semantic Designs (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Austin
- The University of Texas at Austin
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- The University of Texas System
- Office of the Attorney General
- Silicon Labs (United States)
- Texas Department of Transportation
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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