Akiko Takeda
- Management Science and Operations Research top 2%
- Computational Mechanics top 5%
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jun‐ya GotohTakafumi KanamoriSatoru IwataMasakazu KojimaYuji NakatsukasaKatsuki FujisawaMasashi SugiyamaTing Kei Pong
- Topics
- Advanced Optimization Algorithms Research (35 papers)Sparse and Compressive Sensing Techniques (34 papers)Risk and Portfolio Optimization (18 papers)
- Cited by
- Numerical AnalysisManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akiko Takeda
102 papers receiving 977 citations
Peers
Comparison fields: 5 of 124
- Management Science and Operations Research 251
- Computational Mechanics 240
- Computational Theory and Mathematics 232
- Numerical Analysis 221
- Artificial Intelligence 177
Countries citing papers authored by Akiko Takeda
This map shows the geographic impact of Akiko Takeda'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 Akiko Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Takeda more than expected).
Fields of papers citing papers by Akiko Takeda
This network shows the impact of papers produced by Akiko Takeda. 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 Akiko Takeda. The network helps show where Akiko Takeda may publish in the future.
Co-authorship network of co-authors of Akiko Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Takeda. A scholar is included among the top collaborators of Akiko Takeda 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 Akiko Takeda. Akiko Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization | 5 |
| 7 | Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization | 3 |
| 8 | Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization | 1 |
| 9 | Hyperparameter Learning for Bilevel Nonsmooth Optimization | 2 |
| 10 | 3 | |
| 11 | Nonconvex Optimization for Regression with Fairness Constraints. | 22 |
| 12 | A unified formulation and fast accelerated proximal gradient method for classification | 16 |
| 13 | Position-based Multiple-play Bandit Problem with Unknown Position Bias | 5 |
| 14 | Robust Cost Sensitive Support Vector Machine | 8 |
| 15 | Geometric intuition and algorithms for Ev-SVM | 3 |
| 16 | Global Optimization Methods for Extended Fisher Discriminant Analysis | 3 |
| 17 | Conjugate relation between loss functions and uncertainty sets in classification problems | 9 |
| 18 | A modified algorithm for nonconvex support vector classification | 1 |
| 19 | A linear classification model based on conditional geometric score | 17 |
| 20 | COMPARISON OF EXTRAVASCULAR LUNG WATER VOLUME WITH RADIOGRAPHIC FINDINGS IN DOGS WITH INCREASED PERMEABILITY PULMONARY EDEMA | 1 |
About Akiko Takeda
Akiko Takeda is a scholar working on Numerical Analysis, Statistics and Probability and Management Science and Operations Research, having authored 116 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (35 papers), Sparse and Compressive Sensing Techniques (34 papers) and Risk and Portfolio Optimization (18 papers). The work is most often cited by research in Numerical Analysis (221 citations), Management Science and Operations Research (251 citations) and Computational Theory and Mathematics (232 citations). Akiko Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jun‐ya Gotoh, Takafumi Kanamori, Satoru Iwata, Masakazu Kojima, Yuji Nakatsukasa, Katsuki Fujisawa, Masashi Sugiyama, Ting Kei Pong, Mahesan Niranjan and Naoki Ito. Their work appears in journals such as Applied Physics Letters, Bioinformatics and IEEE Transactions on Automatic Control.
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.