Megumi Kameyama

8 papers and 122 indexed citations i.

About

Megumi Kameyama is a scholar working on Artificial Intelligence, Language and Linguistics and Materials Chemistry. According to data from OpenAlex, Megumi Kameyama has authored 8 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 1 paper in Materials Chemistry. Recurrent topics in Megumi Kameyama’s work include Natural Language Processing Techniques (4 papers), Syntax, Semantics, Linguistic Variation (3 papers) and Speech and dialogue systems (2 papers). Megumi Kameyama is often cited by papers focused on Natural Language Processing Techniques (4 papers), Syntax, Semantics, Linguistic Variation (3 papers) and Speech and dialogue systems (2 papers). Megumi Kameyama collaborates with scholars based in United States and Japan. Megumi Kameyama's co-authors include Stanley Peters, Saša Buvač, Hirofumi Takeuchi, Hiromitsu Yamamoto and Yoshiaki Kawashimà and has published in prestigious journals such as Journal of Logic Language and Information, Journal of Japanese Linguistics and Journal of the Society of Powder Technology Japan.

In The Last Decade

Co-authorship network of co-authors of Megumi Kameyama i

Fields of papers citing papers by Megumi Kameyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megumi Kameyama

Since Specialization
Citations

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