Álvaro Tejeda-Lorente

About

Álvaro Tejeda-Lorente is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Álvaro Tejeda-Lorente has authored 21 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Álvaro Tejeda-Lorente’s work include Recommender Systems and Techniques (11 papers), Advanced Text Analysis Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Álvaro Tejeda-Lorente is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Text Analysis Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Álvaro Tejeda-Lorente collaborates with scholars based in Spain and Japan. Álvaro Tejeda-Lorente's co-authors include Enrique Herrera–Viedma, Carlos Porcel, Juan Bernabé-Moreno, María A. Martínez, Rosa Lorés Sanz, Eduardo Peis, Hamido Fujita, Pablo Galindo‐Moreno and Carmen Martínez-Cruz and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Álvaro Tejeda-Lorente i

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Fields of papers citing papers by Álvaro Tejeda-Lorente

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Álvaro Tejeda-Lorente. 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 Álvaro Tejeda-Lorente. The network helps show where Álvaro Tejeda-Lorente may publish in the future.

Countries citing papers authored by Álvaro Tejeda-Lorente

Since Specialization

Citations

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