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Research facility · Auburn · United States

Machine Intelligence Research Labs

In research, Machine Intelligence Research Labs stands highest in Computer Science (#1,477 of 6,336 worldwide) and Physical Sciences (#5,470 of 17,446 worldwide), over all time. Relative to its size it is most specialised in Computer Science (Computer Science is 6.2× its share of world research).

mirlabs.orgROR OpenAlex
World rank, all time
#15,436
of 34,923
Rank in United States
#3,186
of 7,310
Research works
297
▼ 37% vs 2018-21
Citations
8.2k
27.5 per fractional work
Top-10% rate
27.6%
all institutions 10.0%
vs its own fields
1.29×
1.00× is exactly expected
Open access
21%
world 40%
International
86%
world 18%
Machine Intelligence Research Labs

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 #1,477 of 6,336 20.9%171
Physical SciencesDomain #5,470 of 17,446 19.8%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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).

Which fields of science does Machine Intelligence Research Labs work in?

In 2022-now, 66% of research at Machine Intelligence Research Labs is in Physical Sciences, 15% in Social Sciences. Its largest fields are Computer Science (48%), Engineering (11%), Medicine (10%). It does 1.6× the world's share of Physical Sciences.

Physical Sciences: 37 fractional works · 66.0% of its workComputer Science: 27 fractional works · 48.2% of its workArtificial Intelligence: 13 fractional works · 23.7% of its workComputer Vision and Pattern Recognition: 4 fractional works · 7.3% of its workInformation Systems: 4 fractional works · 6.8% of its workComputer Networks and Communications: 3 fractional works · 5.5% of its workSoftware: 1 fractional works · 1.8% of its workComputational Theory and Mathematics: 1 fractional works · 1.4% of its workSignal Processing: 1 fractional works · 1.0% of its workHuman-Computer Interaction: 0 fractional works · 0.4% of its workComputer Science Applications: 0 fractional works · 0.3% of its workEngineering: 6 fractional works · 11.4% of its workMedia Technology: 1 fractional works · 2.2% of its workIndustrial and Manufacturing Engineering: 1 fractional works · 2.1% of its workBiomedical Engineering: 1 fractional works · 1.6% of its workElectrical and Electronic Engineering: 1 fractional works · 1.6% of its workAutomotive Engineering: 1 fractional works · 1.3% of its workControl and Systems Engineering: 1 fractional works · 1.1% of its workBuilding and Construction: 0 fractional works · 0.4% of its workAerospace Engineering: 0 fractional works · 0.4% of its workMechanical Engineering: 0 fractional works · 0.3% of its workSafety, Risk, Reliability and Quality: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.2% of its workMathematics: 1 fractional works · 2.3% of its workModeling and Simulation: 1 fractional works · 1.5% of its workStatistics and Probability: 0 fractional works · 0.7% of its workEnvironmental Science: 1 fractional works · 2.2% of its workEcological Modeling: 0 fractional works · 0.6% of its workEcology: 0 fractional works · 0.6% of its workEnvironmental Engineering: 0 fractional works · 0.6% of its workWater Science and Technology: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.1% of its workChemistry: 0 fractional works · 0.7% of its workAnalytical Chemistry: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.4% of its workEarth and Planetary Sciences: 0 fractional works · 0.6% of its workAtmospheric Science: 0 fractional works · 0.6% of its workPhysics and Astronomy: 0 fractional works · 0.5% of its workStatistical and Nonlinear Physics: 0 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.1% of its workMaterials Science: 0 fractional works · 0.2% of its workMaterials Chemistry: 0 fractional works · 0.2% of its workSocial Sciences: 8 fractional works · 15.0% of its workBusiness, Management and Accounting: 4 fractional works · 7.0% of its workManagement Information Systems: 2 fractional works · 3.0% of its workStrategy and Management: 1 fractional works · 2.0% of its workOrganizational Behavior and Human Resource Management: 1 fractional works · 1.5% of its workManagement of Technology and Innovation: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.2% of its workSocial Sciences: 2 fractional works · 3.9% of its workEducation: 1 fractional works · 1.9% of its workSociology and Political Science: 1 fractional works · 1.5% of its workTransportation: 0 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.1% of its workPsychology: 1 fractional works · 2.3% of its workExperimental and Cognitive Psychology: 0 fractional works · 0.7% of its workApplied Psychology: 0 fractional works · 0.6% of its workDevelopmental and Educational Psychology: 0 fractional works · 0.4% of its workClinical Psychology: 0 fractional works · 0.3% of its workSocial Psychology: 0 fractional works · 0.3% of its workEconomics, Econometrics and Finance: 1 fractional works · 1.0% of its workEconomics and Econometrics: 0 fractional works · 0.8% of its workSmaller subfields together: 0 fractional works · 0.2% of its workDecision Sciences: 0 fractional works · 0.7% of its workManagement Science and Operations Research: 0 fractional works · 0.4% of its workInformation Systems and Management: 0 fractional works · 0.3% of its workHealth Sciences: 6 fractional works · 10.1% of its workMedicine: 5 fractional works · 9.5% of its workRadiology, Nuclear Medicine and Imaging: 2 fractional works · 4.4% of its workPublic Health, Environmental and Occupational Health: 0 fractional works · 0.8% of its workHealth Informatics: 0 fractional works · 0.7% of its workOncology: 0 fractional works · 0.6% of its workPulmonary and Respiratory Medicine: 0 fractional works · 0.5% of its workOphthalmology: 0 fractional works · 0.5% of its workComplementary and alternative medicine: 0 fractional works · 0.3% of its workDermatology: 0 fractional works · 0.3% of its workOrthopedics and Sports Medicine: 0 fractional works · 0.3% of its workPathology and Forensic Medicine: 0 fractional works · 0.3% of its workPsychiatry and Mental health: 0 fractional works · 0.3% of its workReproductive Medicine: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.3% of its workDentistry: 0 fractional works · 0.3% of its workHealth Professions: 0 fractional works · 0.3% of its workLife Sciences: 5 fractional works · 8.9% of its workBiochemistry, Genetics and Molecular Biology: 3 fractional works · 4.8% of its workMolecular Biology: 3 fractional works · 4.6% of its workBiophysics: 0 fractional works · 0.3% of its workNeuroscience: 2 fractional works · 2.7% of its workCognitive Neuroscience: 1 fractional works · 1.3% of its workNeurology: 1 fractional works · 1.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workAgricultural and Biological Sciences: 1 fractional works · 1.5% of its workPlant Science: 1 fractional works · 1.2% of its workFood Science: 0 fractional works · 0.3% of its workALL ITS WORKMachineIntelligence…57fractional works, 2022-now
Life Sciences9%Physical Sciences66%Health Sciences10%Social Sciences15%

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 19 fields, with their numbers
    1. Computer Science2748.2%
    2. Engineering611.4%
    3. Mathematics12.3%
    4. Environmental Science12.2%
    5. Chemistry00.7%
    6. Earth and Planetary Sciences00.6%
    7. Physics and Astronomy00.5%
    8. Materials Science00.2%
    1. Business, Management and Accounting47.0%
    2. Social Sciences23.9%
    3. Psychology12.3%
    4. Economics, Econometrics and Finance11.0%
    5. Decision Sciences00.7%
    1. Medicine59.5%
    2. Dentistry00.3%
    3. Health Professions00.3%
    1. Biochemistry, Genetics and Molecular Biology34.8%
    2. Neuroscience22.7%
    3. Agricultural and Biological Sciences11.5%
All of science, and how each field's share has moved since 1950: the Science domain explorer

What does Machine Intelligence Research Labs specialise in?

Where its research is concentrated relative to its size: Computer Science takes 6.2× the share of its output that it takes of world research.

  1. Computer ScienceField · 27.3 works6.2×
← 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: 0.31× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.90× its world share, 3 worksBiochemistry, Geneti…Neuroscience: 1.64× its world share, 2 worksNeuroscienceChemistry: 0.44× its world share, 0 worksChemistryComputer Science: 6.20× its world share, 27 worksComputer ScienceEarth and Planetary Sciences: 0.37× its world share, 0 worksEarth and Planetary …Engineering: 0.76× its world share, 6 worksEngineeringEnvironmental Science: 0.44× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.06× its world share, 0 worksMaterials ScienceMathematics: 1.92× its world share, 1 worksMathematicsPhysics and Astronomy: 0.20× its world share, 0 worksPhysics and AstronomyDentistry: 0.61× its world share, 0 worksDentistryHealth Professions: 0.10× its world share, 0 worksHealth ProfessionsMedicine: 0.50× its world share, 5 worksMedicineBusiness, Management and Accounting: 2.18× its world share, 4 worksBusiness, Management…Decision Sciences: 0.70× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.49× its world share, 1 worksEconomics, Econometr…Psychology: 0.77× its world share, 1 worksPsychologySocial Sciences: 0.31× 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, 6.2×. Every wedge is a field page.

All 19 fields, with their numbers
  1. Computer Science6.20×27 works
  2. Business, Management and Accounting2.18×4 works
  3. Mathematics1.92×1 works
  4. Neuroscience1.64×2 works
  5. Biochemistry, Genetics and Molecular Biology0.90×3 works
  6. Psychology0.77×1 works
  7. Engineering0.76×6 works
  8. Decision Sciences0.70×0 works
  9. Dentistry0.61×0 works
  10. Medicine0.50×5 works
  11. Economics, Econometrics and Finance0.49×1 works
  12. Chemistry0.44×0 works
  13. Environmental Science0.44×1 works
  14. Earth and Planetary Sciences0.37×0 works
  15. Agricultural and Biological Sciences0.31×1 works
  16. Social Sciences0.31×2 works
  17. Physics and Astronomy0.20×0 works
  18. Health Professions0.10×0 works
  19. Materials Science0.06×0 works

Who are the top researchers at Machine Intelligence Research Labs?

Ranked on the quality score, Ajith Abraham and Meera Ramadas lead among researchers whose main affiliation is Machine Intelligence Research Labs.

  1. 1 Ajith Abraham United States · #651,270 worldwide 47k citations · 1,595 works
  2. 2 Meera Ramadas United States · #4,564,466 worldwide 129 citations · 26 works
All ranked researchers at Machine Intelligence Research Labs

What are the most cited papers from Machine Intelligence Research Labs?

The most cited paper from Machine Intelligence Research Labs is "Differential Evolution: A review of more than two decades of research" (Bilal, Millie Pant, Hira Zaheer et al., 2020), with 1,007 citations. Next come "AI for next generation computing: Emerging trends and future directions" (688) and "Metaheuristic design of feedforward neural networks: A review of two decades of research" (608).

Most cited papers
#PaperReleasedCitations
1 Differential Evolution: A review of more than two decades of research Bilal, Millie Pant, Hira Zaheer et al. · Engineering Applications of Artificial Intelligence Open access 18 Feb 2020 1,007
2 AI for next generation computing: Emerging trends and future directions Sukhpal Singh Gill et al. · Internet of Things Open access 5 Mar 2022 688
3 Metaheuristic design of feedforward neural networks: A review of two decades of research Varun Ojha, Ajith Abraham, Václav Snåšel · Engineering Applications of Artificial Intelligence Open access 10 Feb 2017 608
4 Inertia Weight strategies in Particle Swarm Optimization Jagdish Chand Bansal, Poonam Singh, Mukesh Saraswat et al. Conference paper Oct 2011 577
5 Industry 4.0: A bibliometric analysis and detailed overview Pranab Kumar Muhuri, Amit K. Shukla, Ajith Abraham · Engineering Applications of Artificial Intelligence 12 Dec 2018 552
All 60 most cited papers, with filters and sorting

Which keywords describe research at Machine Intelligence Research Labs?

By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Medical Imaging, Machine Translation, Word Representation and Supply Chain Management.

▲ 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-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
  1. Deep Learning13▲ 6.7×46 topics
  2. Machine Learning10▲ 5.5×37 topics
  3. Neural Networks6▲ 6.5×16 topics
  4. Convolutional Neural Networks4▲ 11×10 topics
  5. COVID-193▲ 4.3×5 topics
  6. Artificial Intelligence3▲ 3.8×9 topics
  7. Medical Imaging3▲ 10×4 topics
  8. Supply Chain Management3▲ 6.0×9 topics
  9. Machine Translation3▲ 29×1 topic
  10. Word Representation3▲ 39×1 topic
  11. Internet of Things3▲ 5.5×7 topics
  12. Feature Extraction3▲ 10×8 topics
  13. Transfer Learning3▲ 24×3 topics
  14. Classification2▲ 8.8×7 topics
  15. Healthcare2▲ 3.5×9 topics
  16. Evolutionary Algorithms2▲ 36×4 topics
  17. Big Data2▲ 3.6×6 topics
  18. Image Processing2▲ 8.0×6 topics
  19. Security2▲ 5.1×9 topics
  20. Anomaly Detection2▲ 11×4 topics
  21. Particle Swarm Optimization2▲ 25×2 topics
  22. Chest X-Ray2▲ 39×1 topic
  23. Pneumonia Detection2▲ 39×1 topic
  24. Wireless Sensor Networks2▲ 6.2×6 topics
  25. Environmental Monitoring2▲ 7.0×4 topics
  26. Medical Image Analysis2▲ 14×4 topics
  27. Ant Colony Optimization1▲ 46×2 topics
  28. Knowledge Representation1▲ 29×2 topics
  29. Metaheuristics1▲ 30×2 topics
  30. Differential Evolution1▲ 33×1 topic
  31. Firefly Algorithm1▲ 66×1 topic
  32. IoT1▲ 6.2×8 topics
  33. Deep Neural Networks1▲ 17×2 topics
  34. Distributed Systems1▲ 12×3 topics
  35. Behavioral Analysis1▲ 17×2 topics
  36. Convolutional Neural Network1▲ 12×2 topics
  37. Emotion Recognition1▲ 9.5×2 topics
  38. Image Analysis1▲ 19×2 topics
  39. Image Classification1▲ 10×2 topics
  40. MAC Protocols1▲ 26×2 topics

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

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

Topic Modeling3Topic Modeling: 3 fractional worksCOVID-19 diagnosis using AI: 2 fractional worksMetaheuristic Optimization Algorithms Research: 1 fractional worksMolecular Biology Techniques and Applications: 1 fractional worksExplainable Artificial Intelligence (XAI): 1 fractional worksSoftware System Performance and Reliability: 1 fractional worksSpam and Phishing Detect…1Spam and Phishing Detection: 1 fractional worksDigital Transformation in Industry: 1 fractional worksCOVID-19 epidemiological studies: 1 fractional worksSentiment Analysis and O…1Sentiment Analysis and Opinion Mining: 1 fractional works
Artificial IntelligenceRadiology, Nuclear Medicine and ImagingMolecular BiologyComputer Networks and Communications3 others

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

  1. 1 Topic Modeling Artificial Intelligence 3 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 Explainable Artificial Intelligence (XAI) Artificial Intelligence 1 works
  6. 6 Software System Performance and Reliability Computer Networks and Communications 1 works
  7. 7 Spam and Phishing Detection Information Systems 1 works
  8. 8 Digital Transformation in Industry Industrial and Manufacturing Engineering 1 works
  9. 9 COVID-19 epidemiological studies Modeling and Simulation 1 works
  10. 10 Sentiment Analysis and Opinion Mining Artificial Intelligence 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: 40% of research is openly available.

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

World: 18% is written across borders.

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

Output in 2022-2025 was 37% 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 Machine Intelligence Research Labs as a percentage of every work published that year, 0.000063% in 2024.

still counting0.00025%0.00050%0.00075%Machine Intelligence Research Labs0.00013% in 202519801990200020102020

Fractional works of Machine Intelligence Research Labs over all fractional works that year. How the balance of science has shifted.

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Machine Intelligence Research Labs on Science Explorer

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