María Pinto

34 papers and 293 indexed citations i.

About

María Pinto is a scholar working on Information Systems, Computer Science Applications and Library and Information Sciences. According to data from OpenAlex, María Pinto has authored 34 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 16 papers in Computer Science Applications and 13 papers in Library and Information Sciences. Recurrent topics in María Pinto’s work include E-Learning and Knowledge Management (14 papers), Library Science and Information Literacy (12 papers) and Web and Library Services (12 papers). María Pinto is often cited by papers focused on E-Learning and Knowledge Management (14 papers), Library Science and Information Literacy (12 papers) and Web and Library Services (12 papers). María Pinto collaborates with scholars based in Spain, Colombia and Mexico. María Pinto's co-authors include Dora Sales Salvador, Rosaura Fernández-Pascual, Alejandro Uribe Tirado, Francisco Javier García Marco, David Guerrero, Raquel Gómez‐Díaz, António Pulgarín Guerrero, Javier Andreu-Pérez, Kurtuluş İzzetoğlu and Andrés Fernández-Ramos and has published in prestigious journals such as Scientometrics, The Journal of Academic Librarianship and Journal of Information Science.

In The Last Decade

Co-authorship network of co-authors of María Pinto i

Fields of papers citing papers by María Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Pinto

Since Specialization
Citations

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