Fuhito Kojima

3.8k citations
68 papers · 2.0k indexed · 1 hit paper · h-index 23

Fuhito Kojima

63 papers receiving 2.0k citations

Hit Papers

Designing Random Allocation Mechanisms: Theory and Applic...2013202620172021201350100150

Peers

Fuhito Kojima
Comparison fields: 5 of 72
  • Economics and Econometrics 1.8k
  • Management Science and Operations Research 1.5k
  • Computational Theory and Mathematics 289
  • Safety Research 270
  • Education 190
Replace Lars Ehlers with:
Lars Ehlers Canada
Anna Bogomolnaia United States
Ulrich Kamecke Germany
Flip Klijn Spain
Eric Budish United States
Marek Pycia United States
Gabrielle Demange France
Itai Ashlagi United States
Marilda A. Oliveira Sotomayor Brazil
Andrew McLennan United States
Fuhito Kojima relative to Lars Ehlers Canada Lars Ehlers's profile →
Citations per field
00.5×1.5×2.3×
Lars Ehlers · 1×
Citations per year

Countries citing papers authored by Fuhito Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Fuhito Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuhito Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Fuhito Kojima. A scholar is included among the top collaborators of Fuhito Kojima 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 Fuhito Kojima. Fuhito Kojima 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 1
2 0
3 29
4 116
5 20
6 10
7 12
8 22
9 15
10 4
11
Matching with Couples: Stability and Incentives in Large Markets
7
12 102
13 3
14 81
15 87
16 216
17 59
18 18
19
Incentives and Stability in Large Two-Sided Matching Markets
16
20 4

About Fuhito Kojima

Fuhito Kojima is a scholar working on Management Science and Operations Research, Economics and Econometrics and Safety Research, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (60 papers), Auction Theory and Applications (49 papers) and Game Theory and Applications (15 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Economics and Econometrics (1.8k citations) and Safety Research (270 citations). Fuhito Kojima has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include John William Hatfield, Parag A. Pathak, Yuichiro Kamada, Yeon‐Koo Che, Mihai Manea, M. Utku Ünver, Paul Milgrom, Eric Budish, Alvin E. Roth and Yusuke Narita. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.

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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