Tetsuya Kaji
- Statistics and Probability top 5%
- Economics and Econometrics
- Artificial Intelligence
- General Economics, Econometrics and Finance
- Finance
- Co-authors
- Iván Fernández‐ValVictor ChernozhukovElena ManresaVeronika RočkováKiyotaka KawaiYuko KamadaMasaru HayashiKenichiro Hiraoka
- Topics
- Statistical Methods and Inference (5 papers)Markov Chains and Monte Carlo Methods (1 paper)Advanced Statistical Methods and Models (1 paper)
- Cited by
- Statistics and ProbabilityComputational MathematicsGeneral Economics, Econometrics and Finance
- Journals
- Journal of the American Statistical AssociationEconometricaJournal of Visualized Experiments
- Partner nations
- United StatesJapan
In The Last Decade
Tetsuya Kaji
5 papers receiving 258 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Statistics and Probability 112
- Economics and Econometrics 52
- Artificial Intelligence 40
- General Economics, Econometrics and Finance 23
- Finance 21
Countries citing papers authored by Tetsuya Kaji
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | Handbook of Quantile Regressionbreakdown → | 247 |
About Tetsuya Kaji
Tetsuya Kaji is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Economics, Econometrics and Finance, having authored 6 papers that have together received 263 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Markov Chains and Monte Carlo Methods (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (112 citations), Computational Mathematics (2 citations) and General Economics, Econometrics and Finance (23 citations). Tetsuya Kaji has collaborated with scholars based in United States and Japan. Frequent co-authors include Iván Fernández‐Val, Victor Chernozhukov, Elena Manresa, Veronika Ročková, Kiyotaka Kawai, Yuko Kamada, Masaru Hayashi and Kenichiro Hiraoka. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Journal of Visualized Experiments.
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.