Taiki Todo

502 citations
31 papers · 250 indexed · h-index 11
Topics
Auction Theory and Applications (29 papers)Game Theory and Voting Systems (24 papers)Game Theory and Applications (9 papers)
Journals
Journal of Artificial Intelligence ResearchAutonomous Agents and Multi-Agent SystemsProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
JapanAustraliaFrance

In The Last Decade

Taiki Todo

29 papers receiving 246 citations

Peers

Taiki Todo
Comparison fields: 5 of 32
  • Management Science and Operations Research 190
  • Economics and Econometrics 157
  • Computer Science Applications 52
  • Information Systems 39
  • Marketing 35
Replace Omer Lev with:
Omer Lev Israel
Ruggiero Cavallo United States
Rupert Freeman United States
Alexandros A. Voudouris United Kingdom
Christina Aperjis United States
David L. Malec United States
Simina Brânzei United States
Meike Zehlike Germany
Christos Tzamos United States
Jens Witkowski Germany
Taiki Todo relative to Omer Lev Israel Omer Lev's profile →
Citations per field
00.5×3.5×
Omer Lev · 1×
Citations per year

Countries citing papers authored by Taiki Todo

Since Specialization
Citations

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

Fields of papers citing papers by Taiki Todo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiki Todo

This figure shows the co-authorship network connecting the top 25 collaborators of Taiki Todo. A scholar is included among the top collaborators of Taiki Todo 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 Taiki Todo. Taiki Todo 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 5
3 0
4 15
5 2
6 13
7 7
8 5
9 10
10 1
11 13
12 1
13
Exchange of indivisible objects with asymmetry
8
14 4
15 2
16 11
17 4
18 24
19 17
20 23

About Taiki Todo

Taiki Todo is a scholar working on Management Science and Operations Research, Computer Science Applications and Economics and Econometrics, having authored 31 papers that have together received 250 indexed citations. Recurring topics across this work include Auction Theory and Applications (29 papers), Game Theory and Voting Systems (24 papers) and Game Theory and Applications (9 papers). The work is most often cited by research in Management Science and Operations Research (190 citations), Computer Science Applications (52 citations) and Economics and Econometrics (157 citations). Taiki Todo has collaborated with scholars based in Japan, Australia and France. Frequent co-authors include Makoto Yokoo, Atsushi Iwasaki, Yuko Sakurai, Hideaki Hata, Kenichi Matsumoto, Vincent Conitzer, Pinyan Lu, Minming Li, Tomohiro Ono and Haixin Sun. Their work appears in journals such as Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

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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