Mercedes Gómez-Albarrán

13 papers and 121 indexed citations i.

About

Mercedes Gómez-Albarrán is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Mercedes Gómez-Albarrán has authored 13 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Artificial Intelligence and 5 papers in Developmental and Educational Psychology. Recurrent topics in Mercedes Gómez-Albarrán’s work include Teaching and Learning Programming (5 papers), Semantic Web and Ontologies (5 papers) and Educational Games and Gamification (4 papers). Mercedes Gómez-Albarrán is often cited by papers focused on Teaching and Learning Programming (5 papers), Semantic Web and Ontologies (5 papers) and Educational Games and Gamification (4 papers). Mercedes Gómez-Albarrán collaborates with scholars based in Spain. Mercedes Gómez-Albarrán's co-authors include Guillermo Jiménez-Díaz, Pedro A. González-Calero, Antonio Sarasa Cabezuelo, José Luis Sierra, Belén Dı́az-Agudo and Marco Antonio Gómez-Martín and has published in prestigious journals such as Computers in Human Behavior, Sustainability and The Computer Journal.

In The Last Decade

Co-authorship network of co-authors of Mercedes Gómez-Albarrán i

Fields of papers citing papers by Mercedes Gómez-Albarrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercedes Gómez-Albarrán. 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 Mercedes Gómez-Albarrán. The network helps show where Mercedes Gómez-Albarrán may publish in the future.

Countries citing papers authored by Mercedes Gómez-Albarrán

Since Specialization
Citations

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

Rankless by CCL
2025