Francisco M. Couto

85 papers and 1.8k indexed citations i.

About

Francisco M. Couto is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Francisco M. Couto has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 60 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Francisco M. Couto’s work include Biomedical Text Mining and Ontologies (62 papers), Semantic Web and Ontologies (30 papers) and Topic Modeling (29 papers). Francisco M. Couto is often cited by papers focused on Biomedical Text Mining and Ontologies (62 papers), Semantic Web and Ontologies (30 papers) and Topic Modeling (29 papers). Francisco M. Couto collaborates with scholars based in Portugal, United States and United Kingdom. Francisco M. Couto's co-authors include Cátia Pesquita, Daniel Faria, André O. Falcão, Phillip Lord, Mário J. Silva, Pedro M. Coutinho, André Lamúrias, Hugo Bastos, António E. N. Ferreira and Dietrich Rebholz‐Schuhmann and has published in prestigious journals such as Bioinformatics, PLoS ONE and PLoS Biology.

In The Last Decade

Co-authorship network of co-authors of Francisco M. Couto i

Fields of papers citing papers by Francisco M. Couto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco M. Couto. 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 Francisco M. Couto. The network helps show where Francisco M. Couto may publish in the future.

Countries citing papers authored by Francisco M. Couto

Since Specialization
Citations

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