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Researcher · Tokyo International University · Japan

Seiji Nabeya

Seiji Nabeya publishes mostly in Statistics and Probability, Finance and Artificial Intelligence, on topics such as Financial Risk and Volatility Modeling, Statistical Methods and Inference and Bayesian Methods and Mixture Models.

OpenAlex
World rank
#2,657,151
of 7,710,434 ranked researchers
Rank in Japan
#55,491
of 383,136
Works
41
Citations
702
Citations per work
17.1
h-index
12
i10-index 14Top 43% in Statistics and Probability
Seiji Nabeya

What does Seiji Nabeya research?

Seiji Nabeya's work is mostly in Mathematics (41%), Economics, Econometrics and Finance (21%), Computer Science (11%).

Physical Sciences: 21 works · 52.0% of their workMathematics: 17 works · 41.4% of their workStatistics and Probability: 11 works · 26.6% of their workApplied Mathematics: 3 works · 7.4% of their workMathematical Physics: 3 works · 7.4% of their workComputer Science: 4 works · 10.6% of their workArtificial Intelligence: 4 works · 10.6% of their workEverything else: 11 works · 26.7% of their workSocial Sciences: 9 works · 21.3% of their workEconomics, Econometrics and Finance: 9 works · 21.3% of their workFinance: 6 works · 14.9% of their workEconomics and Econometrics: 3 works · 6.4% of their workTHEIR WORKSeiji Nabeya41works
Physical Sciences52%Social Sciences21%

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. Mathematics1741.4%
    2. Computer Science410.6%
  2. Everything else1126.7%
    1. Economics, Econometrics and Finance921.3%
  1. 1Statistics and Probability27% of their works
  2. 2Finance15% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Applied Mathematics7% of their works
  5. 5Mathematical Physics7% of their works
  6. 6Economics and Econometrics6% of their works

Research topics

Which keywords describe Seiji Nabeya's research?

The keywords of their largest research topics: Bayesian Inference, GARCH Models, Volatility, Regularization, Variable Selection, Clustering, Mixture Models and Generalized Exponential.

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 17 words, with their numbers
  1. Bayesian Inference132 topics
  2. GARCH Models131 topic
  3. Volatility131 topic
  4. Regularization111 topic
  5. Variable Selection111 topic
  6. Clustering81 topic
  7. Mixture Models81 topic
  8. Generalized Exponential51 topic
  9. Skew Distributions51 topic
  10. Fiscal Policy41 topic
  11. Monetary Policy41 topic
  12. Geometry31 topic
  13. Hyperbolic31 topic
  14. Interacting Particle Systems31 topic
  15. Multicollinearity31 topic
  16. Regression Analysis31 topic
  17. Scaling Limits31 topic

Where does Seiji Nabeya work?

Seiji Nabeya's main affiliation in the publication record is Tokyo International University, Japan.

How many publications and citations does Seiji Nabeya have?

OpenAlex counts 41 works and 702 citations for Seiji Nabeya, an h-index of 12, ranking #2,657,151 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.

Discussion

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