Syoji Kobashi

132 papers and 669 indexed citations i.

About

Syoji Kobashi is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Syoji Kobashi has authored 132 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 46 papers in Computer Vision and Pattern Recognition and 30 papers in Surgery. Recurrent topics in Syoji Kobashi’s work include Medical Image Segmentation Techniques (30 papers), Medical Imaging and Analysis (14 papers) and Brain Tumor Detection and Classification (14 papers). Syoji Kobashi is often cited by papers focused on Medical Image Segmentation Techniques (30 papers), Medical Imaging and Analysis (14 papers) and Brain Tumor Detection and Classification (14 papers). Syoji Kobashi collaborates with scholars based in Japan, Germany and United States. Syoji Kobashi's co-authors include Yutaka Hata, Hajime Kitagaki, Etsuro Mori, Fahad Parvez Mahdi, Katsuya Kondo, Nobutsugu Hirono, Kazunari Ishii, Shigeru Yamaji, Manabu Nii and Hiroshi Nakajima and has published in prestigious journals such as PLoS ONE, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Syoji Kobashi i

Fields of papers citing papers by Syoji Kobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Syoji Kobashi

Since Specialization
Citations

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