Meiko Makita

34 papers and 313 indexed citations i.

About

Meiko Makita is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Demography. According to data from OpenAlex, Meiko Makita has authored 34 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 10 papers in Sociology and Political Science and 9 papers in Demography. Recurrent topics in Meiko Makita’s work include scientometrics and bibliometrics research (11 papers), Migration, Aging, and Tourism Studies (6 papers) and Meta-analysis and systematic reviews (6 papers). Meiko Makita is often cited by papers focused on scientometrics and bibliometrics research (11 papers), Migration, Aging, and Tourism Studies (6 papers) and Meta-analysis and systematic reviews (6 papers). Meiko Makita collaborates with scholars based in United Kingdom, India and Mexico. Meiko Makita's co-authors include Mike Thelwall, Emma Stuart, Amalia Más-Bleda, Kayvan Kousha, Mahshid Abdoli, Jonathan M. Levitt, Paul Wilson, Judith Sixsmith, Ryan Woolrych and Jenny Fisher and has published in prestigious journals such as PLoS ONE, Research Policy and Scientometrics.

In The Last Decade

Co-authorship network of co-authors of Meiko Makita i

Fields of papers citing papers by Meiko Makita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meiko Makita

Since Specialization
Citations

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