Gabriela Ferraro

21 papers and 176 indexed citations i.

About

Gabriela Ferraro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Gabriela Ferraro has authored 21 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in General Health Professions. Recurrent topics in Gabriela Ferraro’s work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Gabriela Ferraro is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Gabriela Ferraro collaborates with scholars based in Australia, Spain and France. Gabriela Ferraro's co-authors include Hanna Suominen, Leo Wanner, Leif Hanlen, Timothy Baldwin, Lizhen Qu, Mohamed Reda Bouadjenek, Scott Sanner, Luis Salvador‐Carulla, Marian-Andrei Rizoiu and Nathan Schneider and has published in prestigious journals such as Journal of Medical Internet Research, Knowledge-Based Systems and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Gabriela Ferraro i

Fields of papers citing papers by Gabriela Ferraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriela Ferraro

Since Specialization
Citations

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