Hideatsu Tsukahara

495 citations
10 papers · 300 indexed · h-index 6
Topics
Financial Risk and Volatility Modeling (5 papers)Statistical Methods and Inference (5 papers)Statistical Distribution Estimation and Applications (3 papers)
Partner nations
JapanBelgium

In The Last Decade

Hideatsu Tsukahara

7 papers receiving 274 citations

Peers

Hideatsu Tsukahara
Comparison fields: 5 of 63
  • Finance 197
  • Statistics and Probability 159
  • Artificial Intelligence 45
  • Economics and Econometrics 45
  • Global and Planetary Change 36
Replace Miguel de Carvalho with:
Miguel de Carvalho United Kingdom
Zhibiao Zhao United States
Jakob Stöber Germany
Alessio Sancetta United Kingdom
Anna Clara Monti Italy
Victoria Zinde‐Walsh Canada
R. Keith Freeland Canada
Olivier Wintenberger France
Muneya Matsui Japan
Pavel Krupskii Canada
Hideatsu Tsukahara relative to Miguel de Carvalho United Kingdom Miguel de Carvalho's profile →
Citations per field
00.5×1.5×2.3×
Miguel de Carvalho · 1×
Citations per year

Countries citing papers authored by Hideatsu Tsukahara

Since Specialization
Citations

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

Fields of papers citing papers by Hideatsu Tsukahara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideatsu Tsukahara

This figure shows the co-authorship network connecting the top 25 collaborators of Hideatsu Tsukahara. A scholar is included among the top collaborators of Hideatsu Tsukahara 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 Hideatsu Tsukahara. Hideatsu Tsukahara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 40
2 10
3 1
4 11
5 0
6 200
7 6
8
Weak convergence and the prediction process
1
9 1
10 30

About Hideatsu Tsukahara

Hideatsu Tsukahara is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (5 papers), Statistical Methods and Inference (5 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Finance (197 citations), Statistics and Probability (159 citations) and General Economics, Econometrics and Finance (30 citations). Hideatsu Tsukahara has collaborated with scholars based in Japan and Belgium. Frequent co-authors include Johan Segers, Masaaki Sibuya, H. Mutoh, H. Hiraishi, Y. Hata, Akira Terano and T Sugimoto. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Multivariate Analysis and Mathematical Finance.

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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