Kei Takeuchi

1.0k citations
87 papers · 650 · h-index 12

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

Kei Takeuchi

68 papers receiving 592 citations

Peers

Kei Takeuchi
Comparison fields: 5 of 95
  • Statistics and Probability 326
  • Finance 98
  • Statistics, Probability and Uncertainty 66
  • Management Science and Operations Research 85
  • Artificial Intelligence 135
Replace Robert W. Keener with:
Robert W. Keener United States
B. Ya. Levit Canada
R. C. H. Cheng United Kingdom
D. R. Jensen United States
Arnak S. Dalalyan France
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Ivan Mizera Canada
Robert Lugannani United States
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Yaming Yu United States
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Citations per field
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Robert W. Keener · 1×
Citations per year

Countries citing papers authored by Kei Takeuchi

Since Specialization
Citations

This map shows the geographic impact of Kei Takeuchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kei Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Takeuchi more than expected).

Fields of papers citing papers by Kei Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei Takeuchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kei Takeuchi. The network helps show where Kei Takeuchi may publish in the future.

Co-authors

The 25 scholars most cited alongside Kei Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kei Takeuchi Line = papers co-authored together Kei Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011134
2 198184
3 199539
4 198130
5 199127
6 198223
7 197122
8 198519
9 200713
10 197513
11 198213
12 198712
13 200911
14 197611
15 201111
16 20109
17 20119
18 19798
19 19898
20 20118

About Kei Takeuchi

Kei Takeuchi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence and Finance, having authored 87 papers that have together received 650 indexed citations. Recurring topics across this work include Statistical Methods and Inference (22 papers), Advanced Statistical Methods and Models (18 papers), Bayesian Methods and Mixture Models (15 papers), Advanced Statistical Process Monitoring (11 papers), Statistical Distribution Estimation and Applications (11 papers), Probability and Risk Models (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Economic theories and models (5 papers). The work is most often cited by research in Statistics and Probability (326 citations), Finance (98 citations), Statistics, Probability and Uncertainty (66 citations), Management Science and Operations Research (85 citations) and Artificial Intelligence (135 citations). Kei Takeuchi has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Masafumi Akahira, Yoshio Takane, Haruo Yanai, Akimichi Takemura, Kazuo Murota, Kimio Morimune, Шун-ичи Амари, Diane Lambert, Olle Bunketorp and Norio OHIWA. Their work appears in journals such as Annals of the Institute of Statistical Mathematics, Lecture notes in mathematics, Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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