Eiji Takimoto
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Aerospace Engineering
- Co-authors
- Kohei HatanoManfred K. WarmuthSherief HashimaEhab Mahmoud MohamedAkira MaruokaMarcus HütterTakao NishizekiMasayuki Takeda
- Topics
- Machine Learning and Algorithms (15 papers)Advanced Bandit Algorithms Research (14 papers)Optimization and Search Problems (5 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Eiji Takimoto
36 papers receiving 198 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 118
- Electrical and Electronic Engineering 74
- Management Science and Operations Research 51
- Computer Networks and Communications 49
- Aerospace Engineering 20
Countries citing papers authored by Eiji Takimoto
This map shows the geographic impact of Eiji Takimoto'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 Eiji Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Takimoto more than expected).
Fields of papers citing papers by Eiji Takimoto
This network shows the impact of papers produced by Eiji Takimoto. 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 Eiji Takimoto. The network helps show where Eiji Takimoto may publish in the future.
Co-authorship network of co-authors of Eiji Takimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Takimoto. A scholar is included among the top collaborators of Eiji Takimoto 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 Eiji Takimoto. Eiji Takimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Time Series Classification Based on Random Shapelets | 1 |
| 7 | 1 | |
| 8 | Minimax fixed-design linear regression | 4 |
| 9 | 7 | |
| 10 | Online Rank Aggregation | 7 |
| 11 | 7 | |
| 12 | 9 | |
| 13 | Size-Energy Tradeoff for Threshold Logic Circuits Computing MOD Functions | 1 |
| 14 | 10 | |
| 15 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: Preface | 1 |
| 16 | 6 | |
| 17 | 12 | |
| 18 | The Minimax Strategy for Gaussian Density Estimation. pp | 18 |
| 19 | 1 | |
| 20 | 4 |
About Eiji Takimoto
Eiji Takimoto is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 41 papers that have together received 205 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (15 papers), Advanced Bandit Algorithms Research (14 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Management Science and Operations Research (51 citations), Artificial Intelligence (118 citations) and Computational Mathematics (2 citations). Eiji Takimoto has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Kohei Hatano, Manfred K. Warmuth, Sherief Hashima, Ehab Mahmoud Mohamed, Akira Maruoka, Marcus Hütter, Takao Nishizeki, Masayuki Takeda, Vladimir Vovk and Yoshifumi Sakai. Their work appears in journals such as IEEE Access, IEEE Communications Letters and Theoretical Computer Science.
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.