Akiko Takeda

100 papers and 888 indexed citations i.

About

Akiko Takeda is a scholar working on Numerical Analysis, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Akiko Takeda has authored 100 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Numerical Analysis, 30 papers in Computational Mechanics and 26 papers in Artificial Intelligence. Recurrent topics in Akiko Takeda’s work include Advanced Optimization Algorithms Research (30 papers), Sparse and Compressive Sensing Techniques (29 papers) and Risk and Portfolio Optimization (15 papers). Akiko Takeda is often cited by papers focused on Advanced Optimization Algorithms Research (30 papers), Sparse and Compressive Sensing Techniques (29 papers) and Risk and Portfolio Optimization (15 papers). Akiko Takeda collaborates with scholars based in Japan, United Kingdom and United States. Akiko Takeda's co-authors include Jun‐ya Gotoh, Takafumi Kanamori, Satoru Iwata, Masakazu Kojima, Yuji Nakatsukasa, Masashi Sugiyama, Ting Kei Pong, Katsuki Fujisawa, Mahesan Niranjan and Satoru Adachi 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 i

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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