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Researcher · Sony Computer Science Laboratories · Japan

Takashi Isozaki

Takashi Isozaki publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Bayesian Modeling and Causal Inference, Gaussian Processes and Bayesian Inference and AI-based Problem Solving and Planning.

ORCID 0009-0000-5697-7409 OpenAlex
World rank
#6,461,884
of 7,710,434 ranked researchers
Rank in Japan
#259,519
of 383,136
Works
22
Citations
79
Citations per work
3.6
h-index
6
i10-index 2Top 74% in Artificial Intelligence
Takashi Isozaki

What does Takashi Isozaki research?

Takashi Isozaki's work is mostly in Computer Science (55%), Decision Sciences (6%), Physics and Astronomy (4%).

Physical Sciences: 14 works · 62.1% of their workComputer Science: 12 works · 54.6% of their workArtificial Intelligence: 11 works · 48.5% of their workComputational Theory and Mathematics: 1 works · 6.1% of their workPhysics and Astronomy: 1 works · 4.5% of their workStatistical and Nonlinear Physics: 1 works · 4.5% of their workMathematics: 1 works · 3.0% of their workStatistics and Probability: 1 works · 3.0% of their workEverything else: 6 works · 28.8% of their workSocial Sciences: 1 works · 6.1% of their workDecision Sciences: 1 works · 6.1% of their workManagement Science and Operations Research: 1 works · 6.1% of their workHealth Sciences: 1 works · 3.0% of their workMedicine: 1 works · 3.0% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.0% of their workTHEIR WORKTakashi Isozaki22works
Physical Sciences62%Health Sciences3%Social Sciences6%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1254.6%
    2. Physics and Astronomy14.5%
    3. Mathematics13.0%
  2. Everything else628.8%
    1. Decision Sciences16.1%
    1. Medicine13.0%
  1. 1Artificial Intelligence48% of their works
  2. 2Computational Theory and Mathematics6% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Statistical and Nonlinear Physics4% of their works
  5. 5Statistics and Probability3% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Takashi Isozaki's research?

The keywords of their largest research topics: Bayesian Networks, Causal Inference, Big Data, Machine Learning, Deep Learning, Gaussian Processes, Sparse Regression and Variational Inference.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Bayesian Networks141 topic
  2. Causal Inference141 topic
  3. Big Data92 topics
  4. Machine Learning93 topics
  5. Deep Learning72 topics
  6. Gaussian Processes72 topics
  7. Sparse Regression51 topic
  8. Variational Inference51 topic
  9. Data Cleaning41 topic
  10. Heuristic Search41 topic
  11. Planning Systems41 topic
  12. Record Linkage41 topic
  13. Granular Computing31 topic
  14. Rough Sets31 topic
  15. Active Learning21 topic
  16. Fault Detection21 topic
  17. Interpretable Models21 topic
  18. Machine Learning Interpretability21 topic
  19. Process Monitoring21 topic
  20. Semi-Supervised Learning21 topic

Where does Takashi Isozaki work?

Takashi Isozaki's main affiliation in the publication record is Sony Computer Science Laboratories, Japan.

How many publications and citations does Takashi Isozaki have?

OpenAlex counts 22 works and 79 citations for Takashi Isozaki, an h-index of 6, ranking #6,461,884 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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