Tetsuya Kaji

614 total citations · 1 hit paper
6 papers, 263 citations indexed

About

Tetsuya Kaji is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Tetsuya Kaji has authored 6 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 1 paper in Statistical and Nonlinear Physics and 1 paper in Finance. Recurrent topics in Tetsuya Kaji's work include Statistical Methods and Inference (5 papers), Markov Chains and Monte Carlo Methods (1 paper) and Advanced Statistical Methods and Models (1 paper). Tetsuya Kaji is often cited by papers focused on Statistical Methods and Inference (5 papers), Markov Chains and Monte Carlo Methods (1 paper) and Advanced Statistical Methods and Models (1 paper). Tetsuya Kaji collaborates with scholars based in United States and Japan. Tetsuya Kaji's co-authors include Iván Fernández‐Val, Victor Chernozhukov, Elena Manresa, Veronika Ročková, Kiyotaka Kawai, Yuko Kamada, Masaru Hayashi and Kenichiro Hiraoka and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Visualized Experiments.

In The Last Decade

Tetsuya Kaji

5 papers receiving 258 citations

Hit Papers

Handbook of Quantile Regression 2017 2026 2020 2023 2017 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Handbook of Quantile Regression
    2017 247 citations Victor Chernozhukov, Iván Fernández‐Val et al. arXiv (Cornell University) profile →

Peers

Tetsuya Kaji
Rebecca J. Sela United States
Andréa V. Rocha Brazil
Esther Salazar United States
Marcello D’Orazio Italy
Man-Suk Oh South Korea
Nikolay Robinzonov Germany
Carlo Grillenzoni Italy
Márton Ispány Hungary
Fernando Tusell Spain
Vandna Jowaheer Mauritius
Rebecca J. Sela United States
Tetsuya Kaji
Citations per year, relative to Tetsuya Kaji Tetsuya Kaji (= 1×) peers Rebecca J. Sela

Countries citing papers authored by Tetsuya Kaji

Since Specialization
Citations

This map shows the geographic impact of Tetsuya Kaji'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 Tetsuya Kaji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Kaji more than expected).

Fields of papers citing papers by Tetsuya Kaji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tetsuya Kaji. 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 Tetsuya Kaji. The network helps show where Tetsuya Kaji may publish in the future.

Co-authorship network of co-authors of Tetsuya Kaji

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Kaji. A scholar is included among the top collaborators of Tetsuya Kaji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuya Kaji. Tetsuya Kaji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Kaji, Tetsuya, et al.. (2023). An Adversarial Approach to Structural Estimation. Econometrica. 91(6). 2041–2063. 3 indexed citations
2.
Kaji, Tetsuya & Veronika Ročková. (2022). Metropolis–Hastings via Classification. Journal of the American Statistical Association. 118(544). 2533–2547. 3 indexed citations
3.
Kaji, Tetsuya, et al.. (2021). Adversarial Inference Is Efficient. AEA Papers and Proceedings. 111. 621–625.
4.
Hiraoka, Kenichiro, et al.. (2021). Piezo-ICSI for Human Oocytes. Journal of Visualized Experiments. 7 indexed citations
5.
Kaji, Tetsuya, et al.. (2020). An Adversarial Approach to Structural Estimation. SSRN Electronic Journal. 3 indexed citations
6.
Chernozhukov, Victor, Iván Fernández‐Val, & Tetsuya Kaji. (2017). Handbook of Quantile Regression. arXiv (Cornell University). 247 indexed citations breakdown →

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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