Miki Haseyama

351 papers and 1.3k indexed citations i.

About

Miki Haseyama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Miki Haseyama has authored 351 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Computer Vision and Pattern Recognition, 108 papers in Artificial Intelligence and 54 papers in Signal Processing. Recurrent topics in Miki Haseyama’s work include Video Analysis and Summarization (53 papers), Advanced Image and Video Retrieval Techniques (50 papers) and Image Retrieval and Classification Techniques (47 papers). Miki Haseyama is often cited by papers focused on Video Analysis and Summarization (53 papers), Advanced Image and Video Retrieval Techniques (50 papers) and Image Retrieval and Classification Techniques (47 papers). Miki Haseyama collaborates with scholars based in Japan, United States and China. Miki Haseyama's co-authors include Takahiro Ogawa, Ren Togo, Keisuke Maeda, H. Kitajima, Zongyao Li, Nobuyuki Yagi, Kenji Hirata, Jun Nakajima, Tomonari Akamatsu and Eui-Jin Kim and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Miki Haseyama i

Fields of papers citing papers by Miki Haseyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miki Haseyama

Since Specialization
Citations

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