Martín Llamas Nistal

109 papers and 678 indexed citations i.

About

Martín Llamas Nistal is a scholar working on Computer Science Applications, Education and Artificial Intelligence. According to data from OpenAlex, Martín Llamas Nistal has authored 109 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Science Applications, 33 papers in Education and 23 papers in Artificial Intelligence. Recurrent topics in Martín Llamas Nistal’s work include Online Learning and Analytics (22 papers), E-Learning and Knowledge Management (20 papers) and Experimental Learning in Engineering (19 papers). Martín Llamas Nistal is often cited by papers focused on Online Learning and Analytics (22 papers), E-Learning and Knowledge Management (20 papers) and Experimental Learning in Engineering (19 papers). Martín Llamas Nistal collaborates with scholars based in Spain, United States and Egypt. Martín Llamas Nistal's co-authors include Manuel Caeiro Rodríguez, Fernando A. Mikic-Fonte, Manuel J. Fernández Iglesias, Luis Anido, Juan C. Burguillo, M. Castro, Juan M. Santos-Gago, Carlos Vaz de Carvalho, Virgínia Rodés and Inmaculada Plaza and has published in prestigious journals such as Expert Systems with Applications, Fertility and Sterility and Sensors.

In The Last Decade

Co-authorship network of co-authors of Martín Llamas Nistal i

Fields of papers citing papers by Martín Llamas Nistal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martín Llamas Nistal. 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 Martín Llamas Nistal. The network helps show where Martín Llamas Nistal may publish in the future.

Countries citing papers authored by Martín Llamas Nistal

Since Specialization
Citations

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