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Smart Information Flow Technologies (United States)

World rank, all time
#28,183
of 34,923
Rank in United States
#5,914
of 7,310
Research works
158
▼ 23% vs 2018-21
Citations
1.9k
11.9 per fractional work
Top-10% rate
4.3%
all institutions 10.0%
vs its own fields
0.97×
1.00× is exactly expected
Open access
23%
world 40%
International
10%
world 18%
Smart Information Flow Technologies (United States)

Which fields of science does Smart Information Flow Technologies (United States) work in?

In all years, 61% of research at Smart Information Flow Technologies (United States) is in Physical Sciences, 30% in Social Sciences. Its largest fields are Computer Science (44%), Psychology (14%), Engineering (14%). It does 1.5× the world's share of Physical Sciences.

Physical Sciences: 96 fractional works · 60.7% of its workComputer Science: 70 fractional works · 44.2% of its workArtificial Intelligence: 40 fractional works · 25.5% of its workComputer Networks and Communications: 6 fractional works · 3.9% of its workInformation Systems: 5 fractional works · 3.3% of its workSoftware: 4 fractional works · 2.8% of its workSignal Processing: 4 fractional works · 2.7% of its workComputational Theory and Mathematics: 3 fractional works · 1.8% of its workComputer Vision and Pattern Recognition: 2 fractional works · 1.6% of its workHuman-Computer Interaction: 2 fractional works · 1.4% of its workHardware and Architecture: 1 fractional works · 0.6% of its workComputer Science Applications: 1 fractional works · 0.6% of its workEngineering: 23 fractional works · 14.3% of its workAerospace Engineering: 5 fractional works · 3.1% of its workBiomedical Engineering: 3 fractional works · 1.9% of its workOcean Engineering: 3 fractional works · 1.8% of its workControl and Systems Engineering: 2 fractional works · 1.5% of its workMechanical Engineering: 2 fractional works · 1.4% of its workElectrical and Electronic Engineering: 2 fractional works · 1.0% of its workSafety, Risk, Reliability and Quality: 2 fractional works · 1.0% of its workIndustrial and Manufacturing Engineering: 1 fractional works · 0.8% of its workMechanics of Materials: 1 fractional works · 0.8% of its workAutomotive Engineering: 1 fractional works · 0.6% of its workSmaller subfields together: 1 fractional works · 0.3% of its workPhysics and Astronomy: 2 fractional works · 1.4% of its workStatistical and Nonlinear Physics: 1 fractional works · 0.6% of its workNuclear and High Energy Physics: 1 fractional works · 0.5% of its workAstronomy and Astrophysics: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workMathematics: 1 fractional works · 0.4% of its workStatistics and Probability: 1 fractional works · 0.4% of its workChemistry: 1 fractional works · 0.3% of its workOrganic Chemistry: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workChemical Engineering: 0 fractional works · 0.1% of its workSocial Sciences: 48 fractional works · 30.2% of its workPsychology: 23 fractional works · 14.4% of its workSocial Psychology: 18 fractional works · 11.5% of its workClinical Psychology: 1 fractional works · 0.9% of its workExperimental and Cognitive Psychology: 1 fractional works · 0.7% of its workApplied Psychology: 1 fractional works · 0.6% of its workDevelopmental and Educational Psychology: 1 fractional works · 0.6% of its workSocial Sciences: 12 fractional works · 7.5% of its workSociology and Political Science: 4 fractional works · 2.8% of its workCommunication: 2 fractional works · 1.1% of its workSafety Research: 2 fractional works · 1.0% of its workPolitical Science and International Relations: 1 fractional works · 0.8% of its workGeography, Planning and Development: 1 fractional works · 0.7% of its workCultural Studies: 1 fractional works · 0.4% of its workDemography: 0 fractional works · 0.2% of its workGeneral Social Sciences: 0 fractional works · 0.2% of its workSmaller subfields together: 1 fractional works · 0.4% of its workDecision Sciences: 6 fractional works · 3.8% of its workInformation Systems and Management: 4 fractional works · 2.3% of its workManagement Science and Operations Research: 2 fractional works · 1.1% of its workStatistics, Probability and Uncertainty: 1 fractional works · 0.4% of its workBusiness, Management and Accounting: 4 fractional works · 2.5% of its workManagement Information Systems: 2 fractional works · 1.4% of its workManagement of Technology and Innovation: 1 fractional works · 0.7% of its workStrategy and Management: 0 fractional works · 0.2% of its workTourism, Leisure and Hospitality Management: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workArts and Humanities: 2 fractional works · 1.3% of its workLanguage and Linguistics: 1 fractional works · 0.8% of its workLiterature and Literary Theory: 1 fractional works · 0.4% of its workEconomics, Econometrics and Finance: 1 fractional works · 0.7% of its workEconomics and Econometrics: 1 fractional works · 0.7% of its workHealth Sciences: 13 fractional works · 7.9% of its workMedicine: 10 fractional works · 6.0% of its workSurgery: 5 fractional works · 3.3% of its workPhysiology: 2 fractional works · 1.2% of its workNeurology: 1 fractional works · 0.4% of its workCardiology and Cardiovascular Medicine: 0 fractional works · 0.3% of its workSmaller subfields together: 1 fractional works · 0.8% of its workHealth Professions: 3 fractional works · 1.9% of its workRadiological and Ultrasound Technology: 2 fractional works · 1.2% of its workMedical Laboratory Technology: 0 fractional works · 0.2% of its workSmaller subfields together: 1 fractional works · 0.5% of its workLife Sciences: 2 fractional works · 1.1% of its workBiochemistry, Genetics and Molecular Biology: 1 fractional works · 0.4% of its workMolecular Biology: 1 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.1% of its workNeuroscience: 1 fractional works · 0.4% of its workCognitive Neuroscience: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.1% of its workPharmacology, Toxicology and Pharmaceutics: 0 fractional works · 0.3% of its workToxicology: 0 fractional works · 0.3% of its workALL ITS WORKSmart InformationFlow Technologie…158fractional works, all years
Life Sciences1%Physical Sciences61%Health Sciences8%Social Sciences30%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. 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 18 fields, with their numbers
    1. Computer Science7044.2%
    2. Engineering2314.3%
    3. Physics and Astronomy21.4%
    4. Mathematics10.4%
    5. Chemistry10.3%
    6. Chemical Engineering00.1%
    7. Earth and Planetary Sciences00.0%
    1. Psychology2314.4%
    2. Social Sciences127.5%
    3. Decision Sciences63.8%
    4. Business, Management and Accounting42.5%
    5. Arts and Humanities21.3%
    6. Economics, Econometrics and Finance10.7%
    1. Medicine106.0%
    2. Health Professions31.9%
    1. Biochemistry, Genetics and Molecular Biology10.4%
    2. Neuroscience10.4%
    3. Pharmacology, Toxicology and Pharmaceutics00.3%
All of science, and how each field's share has moved since 1950: the Science domain explorer

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 Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Pharmacology, Toxicology and Pharmaceutics, 7.7×. Every wedge is a field page.

All 17 fields, with their numbers
  1. Pharmacology, Toxicology and Pharmaceutics7.70×0 works
  2. Computer Science4.16×6 works
  3. Mathematics3.08×1 works
  4. Decision Sciences2.26×0 works
  5. Health Professions1.54×1 works
  6. Economics, Econometrics and Finance1.48×1 works
  7. Chemical Engineering1.29×0 works
  8. Neuroscience1.21×0 works
  9. Social Sciences1.20×3 works
  10. Engineering1.06×3 works
  11. Psychology0.83×0 works
  12. Arts and Humanities0.63×0 works
  13. Business, Management and Accounting0.56×0 works
  14. Biochemistry, Genetics and Molecular Biology0.46×0 works
  15. Medicine0.46×2 works
  16. Physics and Astronomy0.41×0 works
  17. Earth and Planetary Sciences0.08×0 works

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

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

  1. 1 Robert P. Goldman United States · #1,318,315 worldwide 3.7k citations · 200 works
  2. 2 John Maraist United States · #1,830,017 worldwide 571 citations · 19 works
  3. 3 Christopher Geib United States · #1,845,180 worldwide 1.9k citations · 85 works
  4. 4 Christopher A. Miller United States · #3,417,346 worldwide 1.2k citations · 89 works
  5. 5 Sonja Schmer-Galunder United States · #3,532,986 worldwide 213 citations · 42 works
  6. 6 Tammy E. Ott United States · #3,567,384 worldwide 262 citations · 39 works
  7. 7 Dan Thomsen United States · #4,006,335 worldwide 301 citations · 54 works
  8. 8 Harry B. Funk United States · #4,116,042 worldwide 182 citations · 19 works
  9. 9 Matthew D. McLure United States · #4,409,590 worldwide 133 citations · 17 works
  10. 10 Jeffrey M. Rye United States · #4,806,541 worldwide 117 citations · 29 works
All ranked researchers at Smart Information Flow Technologies (United States)

What are the most cited papers from Smart Information Flow Technologies (United States)?

The most cited paper from Smart Information Flow Technologies (United States) is "Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control" (Chris Miller, Raja Parasuraman, 2007), with 430 citations. Next come "Trust and etiquette in high-criticality automated systems" (316) and "A probabilistic plan recognition algorithm based on plan tree grammars" (206).

Most cited papers
#PaperReleasedCitations
1 Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control Chris Miller, Raja Parasuraman · Human Factors The Journal of the Human Factors and Ergonomics Society 20 Jan 2007 430
2 Trust and etiquette in high-criticality automated systems Raja Parasuraman, Chris Miller · Communications of the ACM Apr 2004 316
3 A probabilistic plan recognition algorithm based on plan tree grammars Christopher Geib, Robert P. Goldman · Artificial Intelligence Open access 26 Mar 2009 206
4 A Flexible Delegation-Type Interface Enhances System Performance in Human Supervision of Multiple Robots: Empirical Studies With RoboFlag Raja Parasuraman, Scott M. Galster, Peter Squire et al. · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 22 Jun 2005 148
5 Teams in Space Exploration Eduardo Salas, Scott I. Tannenbaum, Steve W. J. Kozlowski et al. · Current Directions in Psychological Science Jun 2015 94
All 60 most cited papers, with filters and sorting

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-now: Evacuation and Crowd Dynamics, Hungarian Social, Economic and Educational Studies, Hate Speech and Cyberbullying Detection and Modular Robots and Swarm Intelligence.

  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 Hate Speech and Cyberbullying Detection Artificial Intelligence 0 works
  4. 4 Modular Robots and Swarm Intelligence Mechanical Engineering 0 works
  5. 5 Reinforcement Learning in Robotics Artificial Intelligence 0 works
  6. 6 Topic Modeling Artificial Intelligence 0 works
  7. 7 Social Media and Politics Communication 0 works
  8. 8 Digital Games and Media Sociology and Political Science 0 works
  9. 9 Artificial Intelligence in Games Artificial Intelligence 0 works
  10. 10 Logic, Reasoning, and Knowledge Artificial Intelligence 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: 40% of research is openly available.

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

World: 18% is written across borders.

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

Output in 2022-2025 was 23% lower than in 2018-2021.

still counting1990200020102020
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 Smart Information Flow Technologies (United States) as a percentage of every work published that year, 0.00012% in 2024.

still counting0.00020%0.00040%0.00060%Smart Information Flow Technologies (United States)0.000032% in 202519801990200020102020

Fractional works of Smart Information Flow Technologies (United States) over all fractional works that year. How the balance of science has shifted.

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Smart Information Flow Technologies (United States) on Science Explorer

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