María Ruiz-Casado

4 papers and 53 indexed citations i.

About

María Ruiz-Casado is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, María Ruiz-Casado has authored 4 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Communication. Recurrent topics in María Ruiz-Casado’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Web Data Mining and Analysis (2 papers). María Ruiz-Casado is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Web Data Mining and Analysis (2 papers). María Ruiz-Casado collaborates with scholars based in Spain and Japan. María Ruiz-Casado's co-authors include Enrique Alfonseca, Pablo Castells, Antonio Moreno Sandoval and Manabu Okumura and has published in prestigious journals such as Language Resources and Evaluation, Data & Knowledge Engineering and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of María Ruiz-Casado i

Fields of papers citing papers by María Ruiz-Casado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Ruiz-Casado. 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 María Ruiz-Casado. The network helps show where María Ruiz-Casado may publish in the future.

Countries citing papers authored by María Ruiz-Casado

Since Specialization
Citations

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