Mahito Sugiyama

27 papers and 291 indexed citations i.

About

Mahito Sugiyama is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Mahito Sugiyama has authored 27 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Mahito Sugiyama’s work include Data Mining Algorithms and Applications (6 papers), Algorithms and Data Compression (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Mahito Sugiyama is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Algorithms and Data Compression (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Mahito Sugiyama collaborates with scholars based in Japan, Switzerland and Germany. Mahito Sugiyama's co-authors include Karsten Borgwardt, Felipe Llinares-López, Dominik G. Grimm, Koji Tsuda, Takeshi Yanai, Yoshinobu Kawahara, Chloé‐Agathe Azencott, Kai‐Chun Chang, Mehrisadat Makki Alamdari and Chul‐Woo Kim and has published in prestigious journals such as Bioinformatics, Journal of Chemical Theory and Computation and Mechanical Systems and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Mahito Sugiyama i

Fields of papers citing papers by Mahito Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahito Sugiyama

Since Specialization
Citations

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