Takanori Maehara

42 papers and 391 indexed citations i.

About

Takanori Maehara is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Takanori Maehara has authored 42 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Takanori Maehara’s work include Combinatorial Optimization and Complexity Theory (10 papers), Optimization and Search Problems (6 papers) and Topic Modeling (6 papers). Takanori Maehara is often cited by papers focused on Combinatorial Optimization and Complexity Theory (10 papers), Optimization and Search Problems (6 papers) and Topic Modeling (6 papers). Takanori Maehara collaborates with scholars based in Japan, United Kingdom and The Netherlands. Takanori Maehara's co-authors include Ken‐ichi Kawarabayashi, Kazuo Murota, Danushka Bollegala, Yoichi Iwata, Takuya Akiba, Satoshi Hara, Kohei Hayashi, Mario Coutiño, Geert Leus and Elvin Isufi and has published in prestigious journals such as PLoS ONE, Japanese Journal of Applied Physics and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of Takanori Maehara i

Fields of papers citing papers by Takanori Maehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takanori Maehara

Since Specialization
Citations

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