Daniel Mato

55 papers and 253 indexed citations i.

About

Daniel Mato is a scholar working on Education, Sociology and Political Science and Cultural Studies. According to data from OpenAlex, Daniel Mato has authored 55 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Education, 17 papers in Sociology and Political Science and 17 papers in Cultural Studies. Recurrent topics in Daniel Mato’s work include Indigenous Cultures and Socio-Education (13 papers), Higher Education and Sustainability (9 papers) and Latin American Cultural Politics (8 papers). Daniel Mato is often cited by papers focused on Indigenous Cultures and Socio-Education (13 papers), Higher Education and Sustainability (9 papers) and Latin American Cultural Politics (8 papers). Daniel Mato collaborates with scholars based in Argentina, Venezuela and France. Daniel Mato's co-authors include and and has published in prestigious journals such as Organization, International Sociology and Cultural Studies.

In The Last Decade

No nodes

Fields of papers citing papers by Daniel Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mato

Since Specialization
Citations

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