Hiromi Amano

12 papers and 411 indexed citations i.

About

Hiromi Amano is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Hiromi Amano has authored 12 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Hiromi Amano’s work include Text and Document Classification Technologies (4 papers), Topic Modeling (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Hiromi Amano is often cited by papers focused on Text and Document Classification Technologies (4 papers), Topic Modeling (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Hiromi Amano collaborates with scholars based in Japan. Hiromi Amano's co-authors include Hiroshi Ogura, Masato Kondo, N. Takahashi, Yasuto Taguchi, I. Nakamura, Toshio Suda, Taro Tsurukai, Eijiro Jimi, Kimie Ohyama and Takayuki Kuroda and has published in prestigious journals such as Endocrinology, Expert Systems with Applications and The Cleft Palate-Craniofacial Journal.

In The Last Decade

Co-authorship network of co-authors of Hiromi Amano i

Fields of papers citing papers by Hiromi Amano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hiromi Amano

Since Specialization
Citations

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