Naoya Akedo

2 papers and 204 indexed citations i.

About

Naoya Akedo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Naoya Akedo has authored 2 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Management Science and Operations Research. Recurrent topics in Naoya Akedo’s work include Advanced Multi-Objective Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Optimal Experimental Design Methods (1 paper). Naoya Akedo is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Optimal Experimental Design Methods (1 paper). Naoya Akedo collaborates with scholars based in Japan. Naoya Akedo's co-authors include Yusuke Nojima and Hisao Ishibuchi and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation and World Automation Congress.

In The Last Decade

Co-authorship network of co-authors of Naoya Akedo i

Fields of papers citing papers by Naoya Akedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naoya Akedo

Since Specialization
Citations

This map shows the geographic impact of Naoya Akedo'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 Naoya Akedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Akedo 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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2025