Makoto Arima

105 papers and 3.0k indexed citations i.

About

Makoto Arima is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Makoto Arima has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Geophysics, 18 papers in Artificial Intelligence and 9 papers in Atmospheric Science. Recurrent topics in Makoto Arima’s work include Geological and Geochemical Analysis (83 papers), earthquake and tectonic studies (62 papers) and High-pressure geophysics and materials (58 papers). Makoto Arima is often cited by papers focused on Geological and Geochemical Analysis (83 papers), earthquake and tectonic studies (62 papers) and High-pressure geophysics and materials (58 papers). Makoto Arima collaborates with scholars based in Japan, India and Canada. Makoto Arima's co-authors include A. D. Edgar, Rajat Mazumder, Masahiro Ishikawa, F. E. Lloyd, Rajib Shaw, Vivek P. Malviya, A.J. van Loon, Jayanta Kumar Pati, Yusuke Kozai and Hiroo Kagami and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta and Earth and Planetary Science Letters.

In The Last Decade

Co-authorship network of co-authors of Makoto Arima i

Fields of papers citing papers by Makoto Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makoto Arima

Since Specialization
Citations

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