Mario Grande de Prado

About

Mario Grande de Prado is a scholar working on Information Systems, Computer Science Applications and Education. According to data from OpenAlex, Mario Grande de Prado has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 10 papers in Computer Science Applications and 9 papers in Education. Recurrent topics in Mario Grande de Prado’s work include Educational Innovations and Technology (11 papers), E-Learning and Knowledge Management (8 papers) and Digital literacy in education (7 papers). Mario Grande de Prado is often cited by papers focused on Educational Innovations and Technology (11 papers), E-Learning and Knowledge Management (8 papers) and Digital literacy in education (7 papers). Mario Grande de Prado collaborates with scholars based in Mexico and Spain. Mario Grande de Prado's co-authors include Victor Abella García, Francisco José García‐Peñalvo, Alfredo Corell, Isabel Cantón Mayo, Roberto Baelo Álvarez, Javier Martín-Peña, Iván Sánchez‐Iglesias, Bárbara Olivan‐Blázquez and Pedro J. Ramos‐Villagrasa and has published in prestigious journals such as Sustainability, Future Internet and Education Sciences.

In The Last Decade

Co-authorship network of co-authors of Mario Grande de Prado i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Mario Grande de Prado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Grande de Prado. 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 Mario Grande de Prado. The network helps show where Mario Grande de Prado may publish in the future.

Countries citing papers authored by Mario Grande de Prado

Since Specialization

Citations

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

Explore authors with similar magnitude of impact