Takamitsu Sawa

1.6k citations
25 papers · 997 indexed · h-index 15
Topics
Advanced Statistical Methods and Models (10 papers)Statistical and numerical algorithms (2 papers)Environmental Impact and Sustainability (2 papers)

In The Last Decade

Takamitsu Sawa

22 papers receiving 826 citations

Peers

Takamitsu Sawa
Comparison fields: 5 of 109
  • Statistics and Probability 484
  • Economics and Econometrics 274
  • General Economics, Econometrics and Finance 245
  • Finance 158
  • Management Science and Operations Research 143
Replace J. S. Mehta with:
J. S. Mehta United States
Teun Kloek Netherlands
D. F. Nicholls Australia
Neville Davies United Kingdom
Graciela González–Farías Mexico
Alan T. K. Wan Hong Kong
Agustı́n Maravall Spain
Jukka Nyblom Finland
William P. McCormick United States
David P. Hasza United States
Takamitsu Sawa relative to J. S. Mehta United States J. S. Mehta's profile →
Citations per field
00.5×
J. S. Mehta · 1×
Citations per year

Countries citing papers authored by Takamitsu Sawa

Since Specialization
Citations

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

Fields of papers citing papers by Takamitsu Sawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takamitsu Sawa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2
Policy Instruments to Combat Global Warming and Their Economic Consequences
2
3
Energy Price Shocks and Productivity Growth in the Japanese and U.S. Manufacturing Industries
1
4 18
5 31
6 3
7 53
8 91
9 2
10 2
11 3
12 52
13
DISTRIBUTIONS OF ESTIMATES OF COEFFICIENTS OF A SINGLE EQUATION IN A SIMULTANEOUS SYSTEM AND THEIR
1
14 61
15 14
16 75
17 17
18 18
19 91
20 2

About Takamitsu Sawa

Takamitsu Sawa is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 25 papers that have together received 997 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Statistical and numerical algorithms (2 papers) and Environmental Impact and Sustainability (2 papers). The work is most often cited by research in Statistics and Probability (484 citations), General Economics, Econometrics and Finance (245 citations) and Finance (158 citations). Takamitsu Sawa has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include T. W. Anderson, Roberto S. Mariano, Naoto Kunitomo, Kimio Morimune, Tetsuo Tezuka, Dennis J. Aigner, Ernst R. Berndt and David O. Wood. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Applied Energy.

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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