Masao Maruyama

About

Masao Maruyama is a scholar working on Cultural Studies, Organizational Behavior and Human Resource Management and Industrial relations. According to data from OpenAlex, Masao Maruyama has authored 8 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cultural Studies, 1 paper in Organizational Behavior and Human Resource Management and 0 papers in Industrial relations. Recurrent topics in Masao Maruyama’s work include Japanese History and Culture (2 papers) and Family Business Performance and Succession (1 paper). Masao Maruyama is often cited by papers focused on Japanese History and Culture (2 papers) and Family Business Performance and Succession (1 paper). Masao Maruyama collaborates with scholars based in Japan. Masao Maruyama's co-authors include Ivan Morris, Delmer M. Brown, Hilary Conroy and William Hill Brown and has published in prestigious journals such as The American Historical Review, British Journal of Sociology and Pacific Affairs.

In The Last Decade

Co-authorship network of co-authors of Masao Maruyama i

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Fields of papers citing papers by Masao Maruyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masao Maruyama

Since Specialization

Citations

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