Motoshi Saeki

41 papers and 1.0k indexed citations i.

About

Motoshi Saeki is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Motoshi Saeki has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 17 papers in Artificial Intelligence and 15 papers in Software. Recurrent topics in Motoshi Saeki’s work include Software Engineering Research (18 papers), Advanced Software Engineering Methodologies (13 papers) and Software Engineering Techniques and Practices (10 papers). Motoshi Saeki is often cited by papers focused on Software Engineering Research (18 papers), Advanced Software Engineering Methodologies (13 papers) and Software Engineering Techniques and Practices (10 papers). Motoshi Saeki collaborates with scholars based in Japan, France and United States. Motoshi Saeki's co-authors include Shinpei Hayashi, Hiroyuki Ohta, Taminori Obayashi, Kengo Kinoshita, Takeshi Obayashi, Kiyoshi Kinoshita, Daisuke Shibata, Kazuki Saito, Kenta Nakai and S. Sekine and has published in prestigious journals such as Nucleic Acids Research, Journal of Lightwave Technology and The Journal of Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Motoshi Saeki i

Fields of papers citing papers by Motoshi Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Motoshi Saeki

Since Specialization
Citations

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