Miriam Fernández

69 papers and 1.3k indexed citations i.

About

Miriam Fernández is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Miriam Fernández has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Information Systems and 13 papers in Communication. Recurrent topics in Miriam Fernández’s work include Semantic Web and Ontologies (12 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Miriam Fernández is often cited by papers focused on Semantic Web and Ontologies (12 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Miriam Fernández collaborates with scholars based in United Kingdom, Spain and Cuba. Miriam Fernández's co-authors include Harith Alani, Hassan Saif, Pablo Castells, David Vallet, Yulan He, Vanessa López, Enrico Motta, Iván Cantador, T. Frey and Matthew Rowe and has published in prestigious journals such as Forest Ecology and Management, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Miriam Fernández i

Fields of papers citing papers by Miriam Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miriam Fernández

Since Specialization
Citations

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