Cecilia Panigutti

5 papers and 166 indexed citations i.

About

Cecilia Panigutti is a scholar working on Artificial Intelligence, Health Informatics and Epidemiology. According to data from OpenAlex, Cecilia Panigutti has authored 5 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Health Informatics and 1 paper in Epidemiology. Recurrent topics in Cecilia Panigutti’s work include Artificial Intelligence in Healthcare and Education (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Machine Learning in Healthcare (3 papers). Cecilia Panigutti is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Machine Learning in Healthcare (3 papers). Cecilia Panigutti collaborates with scholars based in Italy, Belgium and France. Cecilia Panigutti's co-authors include Dino Pedreschi, Paolo Bajardi, Fosca Giannotti, Alan Perotti, Michele Tizzoni, Vittoria Colizza, Zbigniew Smoreda, André Panisson, Salvatore Rinzivillo and Isabelle Hupont and has published in prestigious journals such as Information Processing & Management, Royal Society Open Science and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Cecilia Panigutti i

Fields of papers citing papers by Cecilia Panigutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cecilia Panigutti

Since Specialization
Citations

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