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Research facility · Auburn · United States

Machine Intelligence Research Labs

In research, Machine Intelligence Research Labs stands highest in Computer Science (#3,198 of 7,020 worldwide) and Physical Sciences (#15,128 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Computer Science — Computer Science is 6.0× its share of world research.

mirlabs.orgROR OpenAlex
World rank, all time
#25,669
of 42,892
Rank in United States
#5,495
of 8,685
Research works
297
▲ 20% vs 2013–17
Citations
8.2k
27.5 per fractional work
Top-10% rate
39.3%
record average 16.5%
Open access
21%
world 28%

What is Machine Intelligence Research Labs known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Computer ScienceField #3,198 of 7,020 37.1%171
Physical SciencesDomain #15,128 of 21,541 36.1%241

Each strip is that field’s whole ranked pool, with the notch where Machine Intelligence Research Labs 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).

What does Machine Intelligence Research Labs specialise in?

Where its research is concentrated relative to its size: Computer Science takes 6.0× the share of its output that it takes of world research.

  1. Computer ScienceField · 23.3 works6.0×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.35× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.02× its world share, 3 worksBiochemistry, Geneti…Neuroscience: 1.85× its world share, 2 worksNeuroscienceChemistry: 0.49× its world share, 0 worksChemistryComputer Science: 5.98× its world share, 23 worksComputer ScienceEarth and Planetary Sciences: 0.42× its world share, 0 worksEarth and Planetary …Engineering: 0.68× its world share, 5 worksEngineeringEnvironmental Science: 0.49× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.07× its world share, 0 worksMaterials ScienceMathematics: 2.17× its world share, 1 worksMathematicsPhysics and Astronomy: 0.23× its world share, 0 worksPhysics and AstronomyDentistry: 0.68× its world share, 0 worksDentistryHealth Professions: 0.11× its world share, 0 worksHealth ProfessionsMedicine: 0.53× its world share, 5 worksMedicineBusiness, Management and Accounting: 2.05× its world share, 3 worksBusiness, Management…Decision Sciences: 0.79× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.55× its world share, 1 worksEconomics, Econometr…Psychology: 0.76× its world share, 1 worksPsychologySocial Sciences: 0.35× its world share, 2 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.0×. Every wedge is a field page.

Who are the top researchers at Machine Intelligence Research Labs?

Ranked on the composite score, Ajith Abraham lead among researchers whose main affiliation is Machine Intelligence Research Labs.

  1. 1 Ajith Abraham United States · #58,789 worldwide 2.5k citations · 351 works
All ranked researchers at Machine Intelligence Research Labs

Which keywords describe research at Machine Intelligence Research Labs?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Medical Imaging, Feature Extraction, COVID-19 and Machine Translation.

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

Size is fractional works in 2022–2025 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. Deep Learning12▲ 7.1×45 topics
  2. Machine Learning10▲ 6.0×37 topics
  3. Neural Networks5▲ 6.2×15 topics
  4. Convolutional Neural Networks4▲ 11×10 topics
  5. COVID-193▲ 4.6×5 topics
  6. Medical Imaging3▲ 10×4 topics
  7. Feature Extraction3▲ 11×8 topics
  8. Artificial Intelligence2▲ 3.4×8 topics
  9. Machine Translation2▲ 29×1 topic
  10. Supply Chain Management2▲ 5.1×9 topics
  11. Word Representation2▲ 40×1 topic
  12. Classification2▲ 9.8×7 topics
  13. Transfer Learning2▲ 23×2 topics
  14. Evolutionary Algorithms2▲ 40×4 topics
  15. Image Processing2▲ 8.9×6 topics
  16. Internet of Things2▲ 4.6×7 topics
  17. Healthcare2▲ 3.4×9 topics
  18. Security2▲ 5.4×9 topics
  19. Particle Swarm Optimization2▲ 28×2 topics
  20. Chest X-Ray2▲ 42×1 topic
  21. Pneumonia Detection2▲ 42×1 topic
  22. Medical Image Analysis2▲ 16×4 topics
  23. Ant Colony Optimization1▲ 51×2 topics
  24. Metaheuristics1▲ 34×2 topics
  25. Differential Evolution1▲ 35×1 topic
  26. Firefly Algorithm1▲ 72×1 topic
  27. IoT1▲ 7.1×8 topics
  28. Environmental Monitoring1▲ 6.2×4 topics
  29. Wireless Sensor Networks1▲ 5.5×6 topics
  30. Anomaly Detection1▲ 7.2×4 topics
  31. Behavioral Analysis1▲ 18×2 topics
  32. Convolutional Neural Network1▲ 14×2 topics
  33. Emotion Recognition1▲ 11×2 topics
  34. Image Analysis1▲ 22×2 topics
  35. IoT Security1▲ 6.8×3 topics
  36. Knowledge Representation1▲ 25×2 topics
  37. Image Segmentation1▲ 16×2 topics
  38. Quantitative1▲ 22×1 topic
  39. Real-Time PCR1▲ 74×1 topic
  40. Support Vector Machines1▲ 6.4×4 topics

Which research topics does Machine Intelligence Research Labs publish most on?

By volume in 2022–2025: Topic Modeling, COVID-19 diagnosis using AI, Metaheuristic Optimization Algorithms Research and Molecular Biology Techniques and Applications.

Topic Modeling2Topic Modeling: 2 fractional worksCOVID-19 diagnosis using AI: 2 fractional worksMetaheuristic Optimizati…1Metaheuristic Optimization Algorithms Research: 1 fractional worksMolecular Biology Techni…1Molecular Biology Techniques and Applications: 1 fractional worksSpam and Phishing Detection: 1 fractional worksCOVID-19 epidemiological studies: 1 fractional worksSentiment Analysis and O…1Sentiment Analysis and Opinion Mining: 1 fractional worksNatural Language Processing Techniques: 1 fractional worksSemantic Web and Ontologies: 1 fractional worksBrain Tumor Detection and Classification: 1 fractional works
Artificial IntelligenceRadiology, Nuclear Medicine and ImagingMolecular BiologyInformation Systems2 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Topic Modeling Artificial Intelligence 2 works
  2. 2 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 2 works
  3. 3 Metaheuristic Optimization Algorithms Research Artificial Intelligence 1 works
  4. 4 Molecular Biology Techniques and Applications Molecular Biology 1 works
  5. 5 Spam and Phishing Detection Information Systems 1 works
  6. 6 COVID-19 epidemiological studies Modeling and Simulation 1 works
  7. 7 Sentiment Analysis and Opinion Mining Artificial Intelligence 1 works
  8. 8 Natural Language Processing Techniques Artificial Intelligence 1 works
  9. 9 Semantic Web and Ontologies Artificial Intelligence 1 works
  10. 10 Brain Tumor Detection and Classification Neurology 1 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 available21.3%not open78.7%

World: 28% of research is openly available.

with international co-authors86.4%domestic only13.6%

World: 19% is written across borders.

How has Machine Intelligence Research Labs's research output changed?

Output in 2018–2022 was 20% higher 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 Auburn

All research institutions in Auburn

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.