Laura Po

34 papers and 252 indexed citations i.

About

Laura Po is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Laura Po has authored 34 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Molecular Biology and 8 papers in Signal Processing. Recurrent topics in Laura Po’s work include Semantic Web and Ontologies (14 papers), Biomedical Text Mining and Ontologies (9 papers) and Natural Language Processing Techniques (8 papers). Laura Po is often cited by papers focused on Semantic Web and Ontologies (14 papers), Biomedical Text Mining and Ontologies (9 papers) and Natural Language Processing Techniques (8 papers). Laura Po collaborates with scholars based in Italy, Spain and Greece. Laura Po's co-authors include Sonia Bergamaschi, Nikos Bikakis, George Papastefanatos, Maciej Gawinecki, Sergio Ilarri, Francesco Guerra, Michela Paolucci, Eduardo Mena, Javier López Cacheiro and Paolo Bouquet and has published in prestigious journals such as Sensors, IEEE Access and Environmental Modelling & Software.

In The Last Decade

Co-authorship network of co-authors of Laura Po i

Fields of papers citing papers by Laura Po

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Po

Since Specialization
Citations

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