Yuko Sakurai

1.3k total citations
54 papers, 708 citations indexed

About

Yuko Sakurai is a scholar working on Management Science and Operations Research, Economics and Econometrics and Marketing. According to data from OpenAlex, Yuko Sakurai has authored 54 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Management Science and Operations Research, 20 papers in Economics and Econometrics and 17 papers in Marketing. Recurrent topics in Yuko Sakurai's work include Auction Theory and Applications (40 papers), Game Theory and Voting Systems (19 papers) and Consumer Market Behavior and Pricing (16 papers). Yuko Sakurai is often cited by papers focused on Auction Theory and Applications (40 papers), Game Theory and Voting Systems (19 papers) and Consumer Market Behavior and Pricing (16 papers). Yuko Sakurai collaborates with scholars based in Japan, United States and Australia. Yuko Sakurai's co-authors include Makoto Yokoo, Shigeo Matsubara, Koji Kamei, Shigeki Matsubara, Yoshiro Maru, Taisuke Tomita, Atsushi Iwasaki, Taiki Todo, Hisashi Kashima and Yukino Baba and has published in prestigious journals such as Oncogene, Artificial Intelligence and Decision Support Systems.

In The Last Decade

Yuko Sakurai

47 papers receiving 660 citations

Peers

Yuko Sakurai
Ian A. Kash United States
Gagan Aggarwal United States
Renato Paes Leme United States
Mingyu Guo Australia
Amy Greenwald United States
Brendan Lucier United States
Aleksandar Pekeč United States
Tyler Lu Canada
Ian A. Kash United States
Yuko Sakurai
Citations per year, relative to Yuko Sakurai Yuko Sakurai (= 1×) peers Ian A. Kash

Countries citing papers authored by Yuko Sakurai

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Sakurai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Sakurai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Sakurai. A scholar is included among the top collaborators of Yuko Sakurai 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 Yuko Sakurai. Yuko Sakurai 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
1.
Skibski, Oskar, et al.. (2022). Measuring power in coalitional games with friends, enemies and allies. Artificial Intelligence. 313. 103792–103792.
2.
Koshimura, Miyuki, et al.. (2022). Concise integer linear programming formulation for clique partitioning problems. Constraints. 27(1-2). 99–115. 1 indexed citations
3.
Skibski, Oskar, Tomasz Michalak, Yuko Sakurai, Michael Wooldridge, & Makoto Yokoo. (2019). Partition decision trees: representation for efficient computation of the Shapley value extended to games with externalities. Autonomous Agents and Multi-Agent Systems. 34(1). 2 indexed citations
4.
Guo, Mingyu, Hong Shen, Taiki Todo, Yuko Sakurai, & Makoto Yokoo. (2015). Social Decision with Minimal Efficiency Loss: An Automated Mechanism Design Approach. Adaptive Agents and Multi-Agents Systems. 347–355. 1 indexed citations
5.
Skibski, Oskar, Tomasz Michalak, Yuko Sakurai, & Makoto Yokoo. (2015). A pseudo-polynomial algorithm for computing power indices in graph-restricted weighted voting games. International Conference on Artificial Intelligence. 631–637. 4 indexed citations
6.
Oka, Masaaki, et al.. (2015). Fairness and False-Name Manipulations in Randomized Cake Cutting. Adaptive Agents and Multi-Agents Systems. 2. 909–917. 1 indexed citations
7.
Oka, Masaaki, et al.. (2014). Optimal false-name-proof single-item redistribution mechanisms. Adaptive Agents and Multi-Agents Systems. 1. 221–228. 4 indexed citations
8.
Zhao, Dengji, Dongmo Zhang, Enrico Gerding, Yuko Sakurai, & Makoto Yokoo. (2014). Incentives in ridesharing with deficit control. Adaptive Agents and Multi-Agents Systems. 1021–1028. 20 indexed citations
9.
Oyama, Satoshi, Yukino Baba, Yuko Sakurai, & Hisashi Kashima. (2013). Accurate integration of crowdsourced labels using workers' self-reported confidence scores. International Joint Conference on Artificial Intelligence. 2554–2560. 33 indexed citations
10.
Tomita, Taisuke, et al.. (2011). Imbalance of Clara cell-mediated homeostatic inflammation is involved in lung metastasis. Oncogene. 30(31). 3429–3439. 54 indexed citations
11.
Iwasaki, Atsushi, Vincent Conitzer, Yuko Sakurai, et al.. (2010). Worst-case efficiency ratio in false-name-proof combinatorial auction mechanisms. Adaptive Agents and Multi-Agents Systems. 633–640. 17 indexed citations
12.
Suzuki, Takashi, et al.. (2010). Intraoperative multichannel audio-visual information recording and automatic surgical phase and incident detection. PubMed. 2010. 1190–1193. 13 indexed citations
13.
Todo, Taiki, Atsushi Iwasaki, Makoto Yokoo, & Yuko Sakurai. (2009). Characterizing false-name-proof allocation rules in combinatorial auctions. Adaptive Agents and Multi-Agents Systems. 265–272. 23 indexed citations
14.
Sakurai, Yuko, et al.. (2009). Sequential partition mechanism for strongly budget-balanced redistribution. Adaptive Agents and Multi-Agents Systems. 1285–1286.
15.
Sakurai, Yuko, et al.. (2008). Beyond quasi-linear utility: strategy/false-name-proof multi-unit auction protocols. Adaptive Agents and Multi-Agents Systems. 1609–1612.
16.
Sakurai, Yuko & Makoto Yokoo. (2002). An average-case budget-non-negative double auction protocol. 104–111. 7 indexed citations
17.
Yokoo, Makoto, Yuko Sakurai, & Shigeo Matsubara. (2001). Bundle Design in Robust Combinatorial Auction Protocol against False-name Bids. International Joint Conference on Artificial Intelligence. 20(4). 1095–1101. 8 indexed citations
18.
Yokoo, Makoto, Yuko Sakurai, & Shigeo Matsubara. (2001). Robust combinatorial auction protocol against false-name bids. Artificial Intelligence. 130(2). 167–181. 83 indexed citations
19.
Yokoo, Makoto, Yuko Sakurai, & Shigeo Matsubara. (2000). The effect of false-name declarations in mechanism design: Towards collective decision making on the internet. 17(5). 37–46. 3 indexed citations
20.
Sakurai, Yuko, Makoto Yokoo, & Shigeo Matsubara. (1999). A limitation of the generalized Vickrey auction in electronic commerce: robustness against false-name bids. National Conference on Artificial Intelligence. 17(2). 109–117. 33 indexed citations

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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