Takashi Ninomiya

23 papers and 83 indexed citations i.

About

Takashi Ninomiya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Takashi Ninomiya has authored 23 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Takashi Ninomiya’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Multimodal Machine Learning Applications (5 papers). Takashi Ninomiya is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Multimodal Machine Learning Applications (5 papers). Takashi Ninomiya collaborates with scholars based in Japan, United States and United Kingdom. Takashi Ninomiya's co-authors include Akihiro Tamura, Hideki Nakayama, Yusuke Miyao, Jin-Dong Kim, Akane Yakushiji, Manabu Okumura, Tomoko Ohta, Jun’ichi Tsujii, Jun'ichi Tsujii and Yoshimasa Tsuruoka and has published in prestigious journals such as Lecture notes in computer science, Language Resources and Evaluation and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Co-authorship network of co-authors of Takashi Ninomiya i

Fields of papers citing papers by Takashi Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takashi Ninomiya

Since Specialization
Citations

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