Miguel Arregui

537 total citations
8 papers, 346 citations indexed

About

Miguel Arregui is a scholar working on Molecular Biology, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Miguel Arregui has authored 8 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Miguel Arregui's work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (4 papers). Miguel Arregui is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (4 papers). Miguel Arregui collaborates with scholars based in United Kingdom, Spain and Switzerland. Miguel Arregui's co-authors include Harald Kirsch, Dietrich Rebholz‐Schuhmann, Sylvain Gaudan, Antonio Jimeno Yepes, Jean-Jack M. Riethoven, Peter Stoehr, Ekhi Zugasti, Chen Li, Goran Nenadić and F. Martínez and has published in prestigious journals such as Bioinformatics, Smart Materials and Structures and Journal of Biomedical Informatics.

In The Last Decade

Miguel Arregui

8 papers receiving 328 citations

Peers

Miguel Arregui

MB

AI

CTM

GENET

ISM

David Campos Portugal

Heinz‐Theodor Mevissen Germany

Harald Kirsch United Kingdom

Christophe Roeder United States

K. B. Cohen United States

Larry Smith United States

Andre Skusa Germany

Christopher Ochs United States

Hong-Jie Dai Taiwan

André Lamúrias Portugal

David Campos Portugal

Miguel Arregui

255 ×0.8

MB

213 ×1.1

AI

43 ×1.0

CTM

25 ×1.2

GENET

11 ×0.7

ISM

Citations per year, relative to Miguel Arregui Miguel Arregui (= 1×) peers David Campos

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).

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.

Co-authorship network of co-authors of Miguel Arregui

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Arregui. A scholar is included among the top collaborators of Miguel Arregui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel Arregui. Miguel Arregui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

García‐Serrano, Alicia, et al.. (2021). Grouping behaviour of Iberian wild goat during the parturition period in the Iberian System. Galemys Spanish Journal of Mammalogy. 33. 42–46. 1 indexed citations

2.

Li, Chen, Antonio Jimeno Yepes, Miguel Arregui, Harald Kirsch, & Dietrich Rebholz‐Schuhmann. (2013). PCorral—interactive mining of protein interactions from MEDLINE. Database. 2013. bat030–bat030. 9 indexed citations

3.

Zugasti, Ekhi, et al.. (2012). A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower. Advances in science and technology. 83. 232–239. 1 indexed citations

4.

Zugasti, Ekhi, et al.. (2012). NullSpace and AutoRegressive damage detection: a comparative study. Smart Materials and Structures. 21(8). 85010–85010. 10 indexed citations

5.

Rebholz‐Schuhmann, Dietrich, Antonio Jimeno Yepes, Miguel Arregui, & Harald Kirsch. (2009). Measuring prediction capacity of individual verbs for the identification of protein interactions. Journal of Biomedical Informatics. 43(2). 200–207. 14 indexed citations

6.

Rebholz‐Schuhmann, Dietrich, Harald Kirsch, Miguel Arregui, et al.. (2007). EBIMed—text crunching to gather facts for proteins from Medline. Bioinformatics. 23(2). e237–e244. 144 indexed citations

7.

Rebholz‐Schuhmann, Dietrich, Miguel Arregui, Sylvain Gaudan, Harald Kirsch, & Antonio Jimeno Yepes. (2007). Text processing through Web services: calling Whatizit. Bioinformatics. 24(2). 296–298. 156 indexed citations

8.

Rebholz‐Schuhmann, Dietrich, Harald Kirsch, Sylvain Gaudan, Miguel Arregui, & Goran Nenadić. (2006). Annotation and disambiguation of semantic types in biomedical text. 11–11. 11 indexed citations

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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