Daiki Ikami

4 papers and 50 indexed citations
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About

Daiki Ikami is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Daiki Ikami has authored 4 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Daiki Ikami’s work include Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Vision and Imaging (1 paper). Daiki Ikami is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Vision and Imaging (1 paper). Daiki Ikami collaborates with scholars based in Japan and United States. Daiki Ikami's co-authors include Kiyoharu Aizawa, Shota Horiguchi, Go Irie, Akari Asai and Qing Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Daiki Ikami

This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Ikami. A scholar is included among the top collaborators of Daiki Ikami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daiki Ikami. Daiki Ikami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Daiki Ikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daiki Ikami

Since Specialization
Citations

This map shows the geographic impact of Daiki Ikami'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 Daiki Ikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Ikami 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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2026