Mayu Otani

29 papers and 318 indexed citations i.

About

Mayu Otani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mayu Otani has authored 29 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Mayu Otani’s work include Multimodal Machine Learning Applications (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (8 papers). Mayu Otani is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (8 papers). Mayu Otani collaborates with scholars based in Japan, Finland and United States. Mayu Otani's co-authors include Yuta Nakashima, Chenhui Chu, Noa García, Janne Heikkilä, Esa Rahtu, Edgar Simo‐Serra, Kotaro Kikuchi, Kota Yamaguchi, Haruo Takemura and Zekun Yang and has published in prestigious journals such as IEEE Access, Neurocomputing and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Mayu Otani i

Fields of papers citing papers by Mayu Otani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayu Otani

Since Specialization
Citations

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