Akiko Takeda

100 papers and 849 indexed citations
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About

Akiko Takeda is a scholar working on Computational Mechanics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Akiko Takeda has authored 100 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 31 papers in Numerical Analysis and 24 papers in Artificial Intelligence. Recurrent topics in Akiko Takeda’s work include Advanced Optimization Algorithms Research (30 papers), Sparse and Compressive Sensing Techniques (30 papers) and Risk and Portfolio Optimization (16 papers). Akiko Takeda is often cited by papers focused on Advanced Optimization Algorithms Research (30 papers), Sparse and Compressive Sensing Techniques (30 papers) and Risk and Portfolio Optimization (16 papers). Akiko Takeda collaborates with scholars based in Japan, United Kingdom and Hong Kong. Akiko Takeda's co-authors include Jun‐ya Gotoh, Takafumi Kanamori, Satoru Iwata, Yuji Nakatsukasa, Masakazu Kojima, Ting Kei Pong, Katsuki Fujisawa, Satoru Adachi, Mahesan Niranjan and Yoshinobu Kawahara and has published in prestigious journals such as Applied Physics Letters, Bioinformatics and IEEE Transactions on Automatic Control.

In The Last Decade

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.

Fields of papers citing papers by Akiko Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Akiko Takeda

Since Specialization
Citations

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).

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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