Jun Nakabayashi

424 total citations
13 papers, 161 citations indexed

About

Jun Nakabayashi is a scholar working on Management Science and Operations Research, Marketing and Strategy and Management. According to data from OpenAlex, Jun Nakabayashi has authored 13 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 7 papers in Marketing and 6 papers in Strategy and Management. Recurrent topics in Jun Nakabayashi's work include Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (7 papers) and Experimental Behavioral Economics Studies (5 papers). Jun Nakabayashi is often cited by papers focused on Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (7 papers) and Experimental Behavioral Economics Studies (5 papers). Jun Nakabayashi collaborates with scholars based in Japan, United States and United Kingdom. Jun Nakabayashi's co-authors include Kei Kawai, Juan Ortner, Sylvain Chassang and Naoki Watanabe and has published in prestigious journals such as Econometrica, Journal of Political Economy and The Review of Economic Studies.

In The Last Decade

Jun Nakabayashi

11 papers receiving 147 citations

Peers

Jun Nakabayashi
Comparison fields: 5 of 32
  • Economics and Econometrics 91
  • Management Science and Operations Research 80
  • Strategy and Management 71
  • Marketing 54
  • Sociology and Political Science 21
Replace Thomas Blake with:
Thomas Blake United States
Juan Ortner United States
Johan Stennek Sweden
T. Sabri Öncü United States
Iwan Bos Netherlands
Gábor Virág United States
Alex Xi He United States
Daniel F. Garrett France
Chenghuan Sean Chu United States
Serge Moresi United States
Thomas Blake United States View profile →
Citations per field, relative to Jun Nakabayashi
Jun Nakabayashi · 1×
Citations per year, relative to Jun Nakabayashi
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Countries citing papers authored by Jun Nakabayashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nakabayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nakabayashi

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 2
3 27
4 23
5 13
6 1
7 7
8 2
9 1
10 37
11 47
12 0
13
At heoretical analysis of scoring auctions with ag eneral form of scoring rules
1

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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