Teruko Mitamura

76 papers and 921 indexed citations i.

About

Teruko Mitamura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Teruko Mitamura has authored 76 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Teruko Mitamura’s work include Natural Language Processing Techniques (60 papers), Topic Modeling (53 papers) and Text Readability and Simplification (10 papers). Teruko Mitamura is often cited by papers focused on Natural Language Processing Techniques (60 papers), Topic Modeling (53 papers) and Text Readability and Simplification (10 papers). Teruko Mitamura collaborates with scholars based in United States, Japan and Taiwan. Teruko Mitamura's co-authors include Eduard Hovy, Mengqiu Wang, Noah A. Smith, Jun Araki, Eric Nyberg, Zhengzhong Liu, Steven Y. Feng, Varun Gangal, Sarath Chandar and Jason Wei and has published in prestigious journals such as Language Resources and Evaluation, Natural Language Engineering and Machine Translation.

In The Last Decade

Co-authorship network of co-authors of Teruko Mitamura i

Fields of papers citing papers by Teruko Mitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teruko Mitamura

Since Specialization
Citations

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