Chiara Zucco

18 papers and 470 indexed citations i.

About

Chiara Zucco is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Chiara Zucco has authored 18 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Chiara Zucco’s work include Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Mental Health via Writing (3 papers). Chiara Zucco is often cited by papers focused on Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Mental Health via Writing (3 papers). Chiara Zucco collaborates with scholars based in Italy and United Kingdom. Chiara Zucco's co-authors include Mario Cannataro, Graziella Bruno, Barbara Calabrese, Bartolomeo Lorenzati, Francesco Panero, Giulia Novelli, Paolo Fornengo, Massimo Perotto, Giuseppe Agapito and P. Cavallo‐Perin and has published in prestigious journals such as Diabetes Care, Diabetes and Sensors.

In The Last Decade

Co-authorship network of co-authors of Chiara Zucco i

Fields of papers citing papers by Chiara Zucco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chiara Zucco

Since Specialization
Citations

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