Gaku Narita

4 papers and 204 indexed citations i.

About

Gaku Narita is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Gaku Narita has authored 4 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Gaku Narita’s work include Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Gaku Narita is often cited by papers focused on Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Gaku Narita collaborates with scholars based in United States and Japan. Gaku Narita's co-authors include Tomoya Ishikawa, Yoshihiro Watanabe and Masatoshi Ishikawa and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Co-authorship network of co-authors of Gaku Narita i

Fields of papers citing papers by Gaku Narita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaku Narita

Since Specialization
Citations

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