Mercè García-Milà

About

Mercè García-Milà is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Mercè García-Milà has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 25 papers in Developmental and Educational Psychology and 7 papers in Statistics and Probability. Recurrent topics in Mercè García-Milà’s work include Innovative Teaching and Learning Methods (17 papers), Education and Critical Thinking Development (15 papers) and Educational Strategies and Epistemologies (14 papers). Mercè García-Milà is often cited by papers focused on Innovative Teaching and Learning Methods (17 papers), Education and Critical Thinking Development (15 papers) and Educational Strategies and Epistemologies (14 papers). Mercè García-Milà collaborates with scholars based in Spain, United States and Portugal. Mercè García-Milà's co-authors include Sandra Gilabert, Mark Felton, Christopher Andersen, Leona Schauble, Chrysi Rapanta, Deanna Kuhn, Anat Zohar, Sharon M. Carver, David Klahr and Sheldon H. White and has published in prestigious journals such as Review of Educational Research, Sustainability and Science Education.

In The Last Decade

Co-authorship network of co-authors of Mercè García-Milà i

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Fields of papers citing papers by Mercè García-Milà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercè García-Milà. 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 Mercè García-Milà. The network helps show where Mercè García-Milà may publish in the future.

Countries citing papers authored by Mercè García-Milà

Since Specialization

Citations

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