Modus Operandi (United States)
In research, Modus Operandi (United States) stands highest in Computer Science (#3,189 of 7,020 worldwide) and Physical Sciences (#16,505 of 21,541 worldwide), over all time.
- World rank, all time
- #31,213 of 42,892
- Rank in United States
- #6,675 of 8,685
- Research works
- 202 ▲ 16% vs 2013–17
- Citations
- 3.8k 19.0 per fractional work
- Top-10% rate
- 9.0% record average 16.5%
- Open access
- 19% world 28%
What is Modus Operandi (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 |
|---|---|---|---|---|
| Computer ScienceField | #3,189 of 7,020 | 29.8% | 133 | |
| Physical SciencesDomain | #16,505 of 21,541 | 28.4% | 164 |
Each strip is that field’s whole ranked pool, with the notch where Modus Operandi (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).
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: Psychology, 5.1×. Every wedge is a field page.
Who are the top researchers at Modus Operandi (United States)?
Ranked on the composite score, John E. Gaffney lead among researchers whose main affiliation is Modus Operandi (United States).
- 1 John E. Gaffney United States · #607,035 worldwide 58 citations · 22 works
Which keywords describe research at Modus Operandi (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Requirements Engineering, Machine Learning, Code Clone Detection, Refactoring, Agile Software Development, Empirical Studies, Open Source Software and Model-Based Development.
- Metamodeling
- Software Development
- High-Performance Computing
- QoS-Aware Middleware
- Data Integration
- Technology Readiness Levels
- Supply Chain Management
- User-Generated Content
- Crowdsourcing
- Performance Prediction
- Innovation
- Anomaly Detection
- Model-Based Systems Engineering
- Complex Adaptive Systems
- Architecture-Based Approach
- Self-Adaptive Systems
- Model-Based Development
- Empirical Studies
- Refactoring
- Machine Learning
- Requirements Engineering
- Code Clone Detection
- Agile Software Development
- Open Source Software
- Autonomic Computing
- Distributed Systems
- Software Reliability Modeling
- Socio-Technical Systems
- Value-Driven Design
- Risk Assessment
- Log Analysis
- Collaboration
- Community-Based Innovation
- Semantic Web Services
- System Maturity
- Model Checking
- Workflow Management
- Service-Oriented Computing
- Knowledge Representation
- Ontology
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
- Requirements Engineering39▲ 290×2 topics
- Machine Learning33▲ 7.5×11 topics
- Code Clone Detection28▲ 307×1 topic
- Refactoring28▲ 307×1 topic
- Agile Software Development25▲ 425×1 topic
- Empirical Studies25▲ 425×1 topic
- Open Source Software17▲ 173×2 topics
- Model-Based Development15▲ 189×2 topics
- Autonomic Computing14▲ 220×1 topic
- Self-Adaptive Systems14▲ 220×1 topic
- Distributed Systems13▲ 26×4 topics
- Architecture-Based Approach10▲ 168×1 topic
- Software Reliability Modeling10▲ 168×1 topic
- Complex Adaptive Systems10▲ 130×2 topics
- Socio-Technical Systems10▲ 214×2 topics
- Model-Based Systems Engineering9▲ 529×1 topic
- Value-Driven Design9▲ 529×1 topic
- Anomaly Detection8▲ 25×2 topics
- Risk Assessment8▲ 6.8×5 topics
- Innovation8▲ 4.2×4 topics
- Log Analysis8▲ 109×1 topic
- Performance Prediction8▲ 67×1 topic
- Collaboration7▲ 54×2 topics
- Crowdsourcing7▲ 59×2 topics
- Community-Based Innovation7▲ 237×1 topic
- User-Generated Content7▲ 42×1 topic
- Semantic Web Services6▲ 34×2 topics
- Supply Chain Management6▲ 5.8×7 topics
- System Maturity6▲ 134×1 topic
- Technology Readiness Levels6▲ 134×1 topic
- Model Checking5▲ 22×3 topics
- Data Integration4▲ 9.3×3 topics
- Workflow Management4▲ 23×2 topics
- QoS-Aware Middleware4▲ 36×1 topic
- Service-Oriented Computing4▲ 36×1 topic
- High-Performance Computing4▲ 12×2 topics
- Knowledge Representation3▲ 12×4 topics
- Software Development3▲ 28×2 topics
- Ontology3▲ 9.3×2 topics
- Metamodeling3▲ 33×2 topics
Which research topics does Modus Operandi (United States) publish most on?
By volume in 2022–2025: Diverse Cultural and Historical Studies, Education and Public Policy, Educational and Psychological Assessments and Social and Economic Solidarity.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Diverse Cultural and Historical Studies Cultural Studies 0 works
- 2 Education and Public Policy Political Science and International Relations 0 works
- 3 Educational and Psychological Assessments Developmental and Educational Psychology 0 works
- 4 Social and Economic Solidarity Sociology and Political Science 0 works
- 5 Social and Political Issues Sociology and Political Science 0 works
- 6 Eating Disorders and Behaviors Clinical Psychology 0 works
- 7 Agricultural and Food Sciences Forestry 0 works
- 8 E-Learning and Knowledge Management Computer Science Applications 0 works
- 9 Islamic Finance and Banking Studies Accounting 0 works
- 10 Health Education and Validation Education 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 Modus Operandi (United States)'s research output changed?
Output in 2018–2022 was 16% 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 Melbourne
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- Medicomp (United States)
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.