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Nonprofit · Toorak · Australia

Queen Jadwiga Foundation

qjfpl.orgROR OpenAlex
Research works
40
▼ 18% vs 2013–17
Citations
68
1.7 per fractional work
Top-10% rate
7.4%
record average 16.5%

Not ranked overall: Queen Jadwiga Foundation is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

What does Queen Jadwiga Foundation specialise in?

Where its research is concentrated relative to its size: Computer Science takes 9.0× the share of its output that it takes of world research.

  1. Computer ScienceField · 24.5 works9.0×
← 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.

    Who are the top researchers at Queen Jadwiga Foundation?

    Ranked on the composite score, Zbigniew Leś and Magdalena Les lead among researchers whose main affiliation is Queen Jadwiga Foundation.

    1. 1 Zbigniew Leś Australia · #1,613,744 worldwide 10 citations · 15 works
    2. 2 Magdalena Les Australia · #1,627,513 worldwide 1 citations · 16 works
    All ranked researchers at Queen Jadwiga Foundation

    Which keywords describe research at Queen Jadwiga Foundation?

    By fractional works in all years, weighted toward what it does more of than the world: Machine Learning, Content-Based Image Retrieval, Shape Matching, Neural Networks, Deep Learning, Backpropagation Learning, Self-Organizing Maps and Cultural Heritage.

    ▲ 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 32 words are chosen for being large and distinctive. Each links to the topic it comes from most.

    All 32 words, with their numbers
    1. Machine Learning10▲ 12×6 topics
    2. Content-Based Image Retrieval8▲ 453×1 topic
    3. Shape Matching8▲ 453×1 topic
    4. Neural Networks6▲ 15×4 topics
    5. Deep Learning6▲ 6.6×4 topics
    6. Backpropagation Learning4▲ 111×1 topic
    7. Self-Organizing Maps4▲ 111×1 topic
    8. Cultural Heritage3▲ 17×2 topics
    9. Fragmented Objects3▲ 255×1 topic
    10. Reconstruction3▲ 34×1 topic
    11. Cognitive Architecture2▲ 140×2 topics
    12. Aesthetic Emotions2▲ 217×2 topics
    13. Grey Literature2▲ 1056×1 topic
    14. Research Information Systems2▲ 1056×1 topic
    15. Artificial Intelligence2▲ 5.0×4 topics
    16. Cognition2▲ 26×2 topics
    17. Energy Efficiency2▲ 5.2×2 topics
    18. Heuristic Search2▲ 207×1 topic
    19. Language2▲ 18×2 topics
    20. Planning Systems2▲ 207×1 topic
    21. Deep Neural Networks2▲ 58×2 topics
    22. Consciousness1▲ 43×1 topic
    23. Data Mining1▲ 7.2×2 topics
    24. Fuzzy Controller1▲ 153×1 topic
    25. Physics of Mind1▲ 326×1 topic
    26. Redundant Transmission1▲ 153×1 topic
    27. Hyperparameter Optimization1▲ 118×1 topic
    28. Noisy Labels1▲ 169×1 topic
    29. Artificial Neural Network1▲ 23×2 topics
    30. Competitive Intelligence1▲ 258×1 topic
    31. Information Management1▲ 106×1 topic
    32. Spatial Reasoning1▲ 95×2 topics

    Which research topics does Queen Jadwiga Foundation publish most on?

    By volume: Image Retrieval and Classification Techniques, Neural Networks and Applications, Image Processing and 3D Reconstruction and Optics and Image Analysis.

    Image Retrieval and Clas…8Image Retrieval and Classification Techniques: 8 fractional worksNeural Networks and Applications: 4 fractional worksImage Processing and 3D Reconstruction: 3 fractional worksOptics and Image Analysis: 2 fractional worksAI-based Problem Solving…2AI-based Problem Solving and Planning: 2 fractional worksCognitive Science and Education Research: 1 fractional worksAdvanced Data Processing Techniques: 1 fractional worksMachine Learning and Data Classification: 1 fractional worksCompetitive and Knowledge Intelligence: 1 fractional worksManufacturing Process and Optimization: 1 fractional works
    Computer Vision and Pattern RecognitionArtificial IntelligenceManagement Information SystemsCognitive Neuroscience3 others

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

    1. 1 Image Retrieval and Classification Techniques Computer Vision and Pattern Recognition 8 works
    2. 2 Neural Networks and Applications Artificial Intelligence 4 works
    3. 3 Image Processing and 3D Reconstruction Computer Vision and Pattern Recognition 3 works
    4. 4 Optics and Image Analysis Management Information Systems 2 works
    5. 5 AI-based Problem Solving and Planning Artificial Intelligence 2 works
    6. 6 Cognitive Science and Education Research Cognitive Neuroscience 1 works
    7. 7 Advanced Data Processing Techniques Control and Systems Engineering 1 works
    8. 8 Machine Learning and Data Classification Artificial Intelligence 1 works
    9. 9 Competitive and Knowledge Intelligence Strategy and Management 1 works
    10. 10 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 1 works

    How has Queen Jadwiga Foundation's research output changed?

    Output in 2018–2022 was 18% lower than in 2013–2017.

    200520102015
    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 Toorak

    All research institutions in Toorak

    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.