Miriam Baglioni

7 papers and 133 indexed citations i.

About

Miriam Baglioni is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Miriam Baglioni has authored 7 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Miriam Baglioni’s work include Data Management and Algorithms (2 papers), Semantic Web and Ontologies (2 papers) and Research Data Management Practices (1 paper). Miriam Baglioni is often cited by papers focused on Data Management and Algorithms (2 papers), Semantic Web and Ontologies (2 papers) and Research Data Management Practices (1 paper). Miriam Baglioni collaborates with scholars based in Italy, Brazil and Canada. Miriam Baglioni's co-authors include Marco Pellegrini, Filippo Geraci, Chiara Renso, Paolo Manghi, José Antônio Fernandes de Macêdo, Roberto Trasarti, Mónica Wachowicz, Thomas W. Crowther, Antica Čulina and Marcel E. Visser and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Nature Ecology & Evolution.

In The Last Decade

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

Fields of papers citing papers by Miriam Baglioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miriam Baglioni

Since Specialization
Citations

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