Ayumi Shinohara

55 papers and 648 indexed citations i.

About

Ayumi Shinohara is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Ayumi Shinohara has authored 55 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 19 papers in Molecular Biology and 16 papers in Computational Theory and Mathematics. Recurrent topics in Ayumi Shinohara’s work include Algorithms and Data Compression (29 papers), Network Packet Processing and Optimization (11 papers) and Machine Learning and Algorithms (10 papers). Ayumi Shinohara is often cited by papers focused on Algorithms and Data Compression (29 papers), Network Packet Processing and Optimization (11 papers) and Machine Learning and Algorithms (10 papers). Ayumi Shinohara collaborates with scholars based in Japan, United States and Hong Kong. Ayumi Shinohara's co-authors include Yoshio Takeda, Toshiya Masuda, Satoru Miyano, Tomomi Maekawa, Hidemasa Yamaguchi, Mami Nakata, Yasuo Oyama, Setsuo Arikawa, Masayuki Takeda and Shunsuke Inenaga and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Future Generation Computer Systems and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Ayumi Shinohara i

Fields of papers citing papers by Ayumi Shinohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ayumi Shinohara

Since Specialization
Citations

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