Y. Fujikoshi
Y. Fujikoshi publishes mostly in Statistics and Probability, Artificial Intelligence and Molecular Biology, on topics such as Bayesian Methods and Mixture Models, Advanced Statistical Methods and Models and Statistical Methods and Inference.
- World rank
- #5,502,299 of 7,710,434 ranked researchers
- Rank in Japan
- #187,445 of 383,136
- Works
- 29
- Citations
- 430
- Citations per work
- 14.8
What does Y. Fujikoshi research?
Y. Fujikoshi's work is mostly in Mathematics (51%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (7%).
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
- Physical Sciences2068.9%
- Mathematics1551.3%
- Computer Science413.5%
- Chemistry14.1%
- Everything else621.6%
- Life Sciences26.8%
- Social Sciences12.7%
- 1Statistics and Probability46% of their works
- 2Artificial Intelligence14% of their works
- 3Molecular Biology7% of their works
- 4Applied Mathematics5% of their works
- 5Analytical Chemistry4% of their works
- 6Economics and Econometrics3% of their works
Research topics
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Random Matrices and Applications
- Spectroscopy and Chemometric Analyses
- Mathematical functions and polynomials
Which keywords describe Y. Fujikoshi's research?
The keywords of their largest research topics: Bayesian Inference, Principal Component Analysis, Clustering, Mixture Models, Variable Selection, Multicollinearity, Regression Analysis and Random Matrix Theory.
- Quadrature Methods
- Near-Infrared Spectroscopy
- Multiple Imputation
- Covariance Matrices
- Skew Distributions
- Lasso
- Random Matrix Theory
- Multicollinearity
- Mixture Models
- Principal Component Analysis
- Bayesian Inference
- Clustering
- Variable Selection
- Regression Analysis
- Generalized Exponential
- Regularization
- Bayesian Modeling
- Eigenvalues
- Multivariate Calibration
- Orthogonal Polynomials
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.
All 20 words, with their numbers
- Bayesian Inference172 topics
- Principal Component Analysis173 topics
- Clustering101 topic
- Mixture Models101 topic
- Variable Selection102 topics
- Multicollinearity91 topic
- Regression Analysis91 topic
- Random Matrix Theory82 topics
- Generalized Exponential71 topic
- Lasso71 topic
- Regularization71 topic
- Skew Distributions71 topic
- Bayesian Modeling51 topic
- Covariance Matrices51 topic
- Eigenvalues51 topic
- Multiple Imputation51 topic
- Multivariate Calibration31 topic
- Near-Infrared Spectroscopy31 topic
- Orthogonal Polynomials31 topic
- Quadrature Methods31 topic
Where does Y. Fujikoshi work?
Y. Fujikoshi's main affiliation in the publication record is Hiroshima University, Japan.
How many publications and citations does Y. Fujikoshi have?
OpenAlex counts 29 works and 430 citations for Y. Fujikoshi, an h-index of 10, ranking #5,502,299 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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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