Azucena Montes

14 papers and 233 indexed citations i.

About

Azucena Montes is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Azucena Montes has authored 14 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Azucena Montes’s work include Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Azucena Montes is often cited by papers focused on Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Azucena Montes collaborates with scholars based in Mexico, France and Canada. Azucena Montes's co-authors include Gerardo Sierra, David Pinto, J. G. González, Juan‐Manuel Torres‐Moreno, Francisco Ortiz, Victor J. Sosa‐Sosa and Jean-Pierre Desclés and has published in prestigious journals such as Pattern Recognition Letters, IEEE Latin America Transactions and International Journal of Web and Grid Services.

In The Last Decade

Co-authorship network of co-authors of Azucena Montes i

Fields of papers citing papers by Azucena Montes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Azucena Montes

Since Specialization
Citations

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