Kengo Kato
- Statistics and Probability top 0.2%
- Economics and Econometrics top 2%
- Artificial Intelligence top 5%
- Finance top 5%
- General Economics, Econometrics and Finance top 5%
- Co-authors
- Victor ChernozhukovDenis ChetverikovAntonio F. GalvaoAlexandre BelloniGabriel Montes‐RojasXiaohong ChenYuya SasakiNobuo Ueno
- Topics
- Statistical Methods and Inference (38 papers)Statistical Methods and Bayesian Inference (15 papers)Bayesian Methods and Mixture Models (11 papers)
- Journals
- Journal of the American Statistical AssociationApplied Physics LettersThe Journal of Physical Chemistry C
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kengo Kato
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 1.1k
- Economics and Econometrics 397
- Artificial Intelligence 286
- Finance 248
- General Economics, Econometrics and Finance 191
Countries citing papers authored by Kengo Kato
This map shows the geographic impact of Kengo Kato'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 Kengo Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kengo Kato more than expected).
Fields of papers citing papers by Kengo Kato
This network shows the impact of papers produced by Kengo Kato. 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 Kengo Kato. The network helps show where Kengo Kato may publish in the future.
Co-authorship network of co-authors of Kengo Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Kato. A scholar is included among the top collaborators of Kengo Kato 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 Kengo Kato. Kengo Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | Uniform Post Selection Inference for LAD Regression Models | 1 |
| 17 | 17 | |
| 18 | 40 | |
| 19 | 31 | |
| 20 | The Information Content of Financial and Economic Variables: Empirical Tests of Information Variables in Japan | 3 |
About Kengo Kato
Kengo Kato is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Applied Mathematics, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (15 papers) and Bayesian Methods and Mixture Models (11 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Finance (248 citations) and General Economics, Econometrics and Finance (191 citations). Kengo Kato has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Victor Chernozhukov, Denis Chetverikov, Antonio F. Galvao, Alexandre Belloni, Gabriel Montes‐Rojas, Xiaohong Chen, Yuya Sasaki, Nobuo Ueno, Satoshi Kera and Alexander Hinderhofer. Their work appears in journals such as Journal of the American Statistical Association, Applied Physics Letters and The Journal of Physical Chemistry C.
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.