Estudios de Cultura Maya

494 papers and 1.1k indexed citations i.

About

The 494 papers published in Estudios de Cultura Maya in the last decades have received a total of 1.1k indexed citations. Papers published in Estudios de Cultura Maya usually cover Visual Arts and Performing Arts (227 papers), Cultural Studies (172 papers) and Management, Monitoring, Policy and Law (108 papers) specifically the topics of Latin American history and culture (225 papers), Indigenous Cultures and Socio-Education (120 papers) and Mexican Socioeconomic and Environmental Dynamics (106 papers). The most active scholars publishing in Estudios de Cultura Maya are Tatiana Proskouriakoff, Evon Z. Vogt, Anthony Andrews, William T. Sanders, John E. Clark, Thomas A. Lee, Munro S. Edmonson, Anabel Ford, John B. Haviland and Andrea Cucina.

In The Last Decade

Fields of papers published in Estudios de Cultura Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Estudios de Cultura Maya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Estudios de Cultura Maya.

Countries where authors publish in Estudios de Cultura Maya

Since Specialization
Citations

This map shows the geographic impact of research published in Estudios de Cultura Maya. 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 papers published in Estudios de Cultura Maya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estudios de Cultura Maya 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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