Miguel Arregui

7 papers and 295 indexed citations i.

About

Miguel Arregui is a scholar working on Molecular Biology, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Miguel Arregui has authored 7 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Mechanical Engineering. Recurrent topics in Miguel Arregui’s work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (3 papers). Miguel Arregui is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (3 papers). Miguel Arregui collaborates with scholars based in United Kingdom, Spain and Australia. Miguel Arregui's co-authors include Harald Kirsch, Dietrich Rebholz‐Schuhmann, Sylvain Gaudan, Antonio Jimeno Yepes, Jean-Jack M. Riethoven, Peter Stoehr, Ekhi Zugasti, F. Martínez, Chen Li and Alicia García‐Serrano and has published in prestigious journals such as Bioinformatics, Smart Materials and Structures and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Miguel Arregui i

Fields of papers citing papers by Miguel Arregui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miguel Arregui

Since Specialization
Citations

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