Tatsuyoshi Saijo

3.5k citations
85 papers · 2.1k indexed · h-index 25
Topics
Experimental Behavioral Economics Studies (40 papers)Auction Theory and Applications (21 papers)Environmental Education and Sustainability (17 papers)

In The Last Decade

Tatsuyoshi Saijo

77 papers receiving 1.9k citations

Peers

Tatsuyoshi Saijo
Comparison fields: 5 of 117
  • Economics and Econometrics 802
  • Safety Research 638
  • Management Science and Operations Research 506
  • Sociology and Political Science 439
  • Management, Monitoring, Policy and Law 417
Replace James J. Murphy with:
James J. Murphy United States
Daan van Soest Netherlands
Olof Johansson‐Stenman Sweden
Michael Price United States
Kjell Arne Brekke Norway
John K. Stranlund United States
William D. Schulze United States
John K. Horowitz United States
Ronald G. Cummings United States
Renate Schubert Switzerland
Tatsuyoshi Saijo relative to James J. Murphy United States James J. Murphy's profile →
Citations per field
00.5×4.9×
James J. Murphy · 1×
Citations per year

Countries citing papers authored by Tatsuyoshi Saijo

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuyoshi Saijo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuyoshi Saijo

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuyoshi Saijo. A scholar is included among the top collaborators of Tatsuyoshi Saijo 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 Tatsuyoshi Saijo. Tatsuyoshi Saijo 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 0
2 0
3 4
4 1
5 4
6 6
7 24
8 6
9 5
10 21
11 6
12 75
13 3
14 1
15 0
16 141
17 157
18 188
19
Does the Varian Mechanism Work? -- Emissions Trading as an Example
8
20 8

About Tatsuyoshi Saijo

Tatsuyoshi Saijo is a scholar working on General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (40 papers), Auction Theory and Applications (21 papers) and Environmental Education and Sustainability (17 papers). The work is most often cited by research in General Decision Sciences (172 citations), Safety Research (638 citations) and Management Science and Operations Research (506 citations). Tatsuyoshi Saijo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Junyi Shen, Takehiko Yamato, Koji Kotani, Timothy N. Cason, Hideki Nakamura, Nori Tarui, Arthur Schram, Jordi Brandts, Yoshinori Nakagawa and Kenju Akai. Their work appears in journals such as Econometrica, The Journal of Physical Chemistry B and Scientific Reports.

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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