Daichi Mochihashi

About

Daichi Mochihashi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daichi Mochihashi has authored 35 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daichi Mochihashi’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (6 papers). Daichi Mochihashi is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (6 papers). Daichi Mochihashi collaborates with scholars based in Japan, United States and France. Daichi Mochihashi's co-authors include Tomoaki Nakamura, Takayuki Nagai, Ichiro Kobayashi, Kazuyoshi Yoshii, Masataka Goto, Ryota Tomioka, Hideki Asoh, Eiichiro Sumita, Masahide Kaneko and Kunio Kashino and has published in prestigious journals such as Machine Learning, Psychometrika and Communications Biology.

In The Last Decade

Co-authorship network of co-authors of Daichi Mochihashi i

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Fields of papers citing papers by Daichi Mochihashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daichi Mochihashi

Since Specialization

Citations

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