María del Carmen Malbrán

About

María del Carmen Malbrán is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, María del Carmen Malbrán has authored 5 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Science Applications, 1 paper in Artificial Intelligence and 1 paper in Education. Recurrent topics in María del Carmen Malbrán’s work include Open Education and E-Learning (1 paper), E-Learning and Knowledge Management (1 paper) and Online and Blended Learning (1 paper). María del Carmen Malbrán is often cited by papers focused on Open Education and E-Learning (1 paper), E-Learning and Knowledge Management (1 paper) and Online and Blended Learning (1 paper). María del Carmen Malbrán collaborates with scholars based in Argentina. María del Carmen Malbrán's co-authors include Juan José Gagliardino and Charles M. Clark and has published in prestigious journals such as Distance Education, Diabetes Spectrum and Cambridge University Press eBooks.

In The Last Decade

Co-authorship network of co-authors of María del Carmen Malbrán i

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Fields of papers citing papers by María del Carmen Malbrán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María del Carmen Malbrán. 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 María del Carmen Malbrán. The network helps show where María del Carmen Malbrán may publish in the future.

Countries citing papers authored by María del Carmen Malbrán

Since Specialization

Citations

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