Kazuki Nakashima

6 papers and 397 indexed citations i.

About

Kazuki Nakashima is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Building and Construction. According to data from OpenAlex, Kazuki Nakashima has authored 6 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Computational Theory and Mathematics and 1 paper in Building and Construction. Recurrent topics in Kazuki Nakashima’s work include Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Kazuki Nakashima is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Kazuki Nakashima collaborates with scholars based in Japan. Kazuki Nakashima's co-authors include Hiroshi Sako, Hiromichi Fujisawa, Cheng‐Lin Liu, Yasuaki Nakano, Ichiro Matsuda and Masashi Koga and has published in prestigious journals such as Pattern Recognition, Machine Vision and Applications and IEICE Transactions on Information and Systems.

In The Last Decade

Co-authorship network of co-authors of Kazuki Nakashima i

Fields of papers citing papers by Kazuki Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuki Nakashima

Since Specialization
Citations

This map shows the geographic impact of Kazuki Nakashima'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 Kazuki Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Nakashima 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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2025