Alicia Ageno

17 papers and 152 indexed citations i.

About

Alicia Ageno is a scholar working on Artificial Intelligence, Education and Management Science and Operations Research. According to data from OpenAlex, Alicia Ageno has authored 17 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Education and 2 papers in Management Science and Operations Research. Recurrent topics in Alicia Ageno’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Engineering Education and Curriculum Development (2 papers). Alicia Ageno is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Engineering Education and Curriculum Development (2 papers). Alicia Ageno collaborates with scholars based in Spain, Canada and Mexico. Alicia Ageno's co-authors include Jordi Turmo, Joan Aranda, Karina Gibert, Fermín Sánchez Carracedo, David López Álvarez, Jordi García, Mihai Surdeanu, Daniel Ferrés, M. Antònia Martí and Germán Rigau and has published in prestigious journals such as ACM Computing Surveys, BMC Medical Informatics and Decision Making and Journal of Science Education and Technology.

In The Last Decade

Co-authorship network of co-authors of Alicia Ageno i

Fields of papers citing papers by Alicia Ageno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alicia Ageno

Since Specialization
Citations

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