Science Explorer Interactive view Map

Smart Information Flow Technologies (United States)

World rank, all time
#40,881
of 42,892
Rank in United States
#8,468
of 8,685
Research works
158
▼ 37% vs 2013–17
Citations
1.9k
11.9 per fractional work
Top-10% rate
8.4%
record average 16.5%
Open access
23%
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.

Biochemistry, Genetics and Molecular Biology: 0.46× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 1.21× its world share, 0 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 7.70× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 1.29× its world share, 0 worksChemical EngineeringComputer Science: 4.16× its world share, 6 worksComputer ScienceEarth and Planetary Sciences: 0.08× its world share, 0 worksEarth and Planetary …Engineering: 1.06× its world share, 3 worksEngineeringMathematics: 3.08× its world share, 1 worksMathematicsPhysics and Astronomy: 0.41× its world share, 0 worksPhysics and AstronomyHealth Professions: 1.54× its world share, 1 worksHealth ProfessionsMedicine: 0.46× its world share, 2 worksMedicineArts and Humanities: 0.63× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.56× its world share, 0 worksBusiness, Management…Decision Sciences: 2.26× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 1.48× its world share, 1 worksEconomics, Econometr…Psychology: 0.83× its world share, 0 worksPsychologySocial Sciences: 1.20× its world share, 3 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Pharmacology, Toxicology and Pharmaceutics, 7.7×. Every wedge is a field page.

Who are the top researchers at Smart Information Flow Technologies (United States)?

Ranked on the composite score, Robert P. Goldman, Christopher Geib and Chris Miller lead among researchers whose main affiliation is Smart Information Flow Technologies (United States).

  1. 1 Robert P. Goldman United States · #60,166 worldwide 309 citations · 47 works
  2. 2 Christopher Geib United States · #247,134 worldwide 123 citations · 25 works
  3. 3 Chris Miller United States · #571,436 worldwide 240 citations · 133 works
  4. 4 Christopher A. Miller United States · #964,676 worldwide 14 citations · 20 works
  5. 5 Peggy Wu United States · #1,585,102 worldwide 17 citations · 15 works
All ranked researchers at Smart Information Flow Technologies (United States)

Which keywords describe research at Smart Information Flow Technologies (United States)?

By fractional works in all years, weighted toward what it does more of than the world: Cognitive Load, Autonomous Vehicles, Trust, Human Factors, Automation, Driver Distraction, Autonomous Systems and Knowledge Representation.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Cognitive Load15▲ 239×2 topics
  2. Machine Learning14▲ 4.0×22 topics
  3. Autonomous Vehicles13▲ 58×3 topics
  4. Trust13▲ 31×3 topics
  5. Deep Learning12▲ 3.7×21 topics
  6. Human Factors12▲ 139×3 topics
  7. Automation12▲ 129×1 topic
  8. Driver Distraction12▲ 257×1 topic
  9. Autonomous Systems11▲ 228×3 topics
  10. Knowledge Representation11▲ 48×3 topics
  11. Cognitive Architecture10▲ 184×2 topics
  12. Heuristic Search10▲ 323×1 topic
  13. Planning Systems10▲ 323×1 topic
  14. Description Logics10▲ 63×2 topics
  15. Model Checking8▲ 48×3 topics
  16. Temporal Logic8▲ 64×2 topics
  17. Simulation7▲ 14×6 topics
  18. Multi-Agent Systems7▲ 23×5 topics
  19. Artificial Intelligence6▲ 4.7×7 topics
  20. Agent-Based Modeling6▲ 22×5 topics
  21. Data Integration6▲ 15×4 topics
  22. Semantic Web6▲ 24×3 topics
  23. Risk Assessment6▲ 5.8×5 topics
  24. Answer Set Programming5▲ 94×1 topic
  25. Modal Logic5▲ 58×1 topic
  26. Knowledge Management5▲ 7.1×8 topics
  27. Alarm Fatigue5▲ 231×1 topic
  28. Clinical Alarms5▲ 231×1 topic
  29. Linked Data5▲ 41×1 topic
  30. Ontology5▲ 18×1 topic
  31. Software Engineering5▲ 40×2 topics
  32. Negotiation4▲ 61×2 topics
  33. IoT Security4▲ 16×2 topics
  34. Social Media4▲ 3.5×7 topics
  35. Detection4▲ 8.6×2 topics
  36. Formal Methods4▲ 65×2 topics
  37. Argumentation Frameworks4▲ 110×1 topic
  38. Dialectical Argumentation4▲ 110×1 topic
  39. Collision Avoidance3▲ 18×4 topics
  40. Reinforcement Learning3▲ 26×3 topics

Which research topics does Smart Information Flow Technologies (United States) publish most on?

By volume in 2022–2025: Evacuation and Crowd Dynamics, Hungarian Social, Economic and Educational Studies, Modular Robots and Swarm Intelligence and Social Media and Politics.

  1. 1 Evacuation and Crowd Dynamics Ocean Engineering 1 works
  2. 2 Hungarian Social, Economic and Educational Studies Geography, Planning and Development 1 works
  3. 3 Modular Robots and Swarm Intelligence Mechanical Engineering 0 works
  4. 4 Social Media and Politics Communication 0 works
  5. 5 Hate Speech and Cyberbullying Detection Artificial Intelligence 0 works
  6. 6 Reinforcement Learning in Robotics Artificial Intelligence 0 works
  7. 7 Topic Modeling Artificial Intelligence 0 works
  8. 8 Logic, Reasoning, and Knowledge Artificial Intelligence 0 works
  9. 9 Digital Games and Media Sociology and Political Science 0 works
  10. 10 Distributed Control Multi-Agent Systems Computer Networks and Communications 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.

openly available22.7%not open77.3%

World: 28% of research is openly available.

with international co-authors9.5%domestic only90.5%

World: 19% is written across borders.

How has Smart Information Flow Technologies (United States)'s research output changed?

Output in 2018–2022 was 37% lower than in 2013–2017.

1990200020102020
grewheldshrank

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 Minneapolis

All research institutions in Minneapolis

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.