Daniela D’Auria

About

Daniela D’Auria is a scholar working on Artificial Intelligence, Sociology and Political Science and Surgery. According to data from OpenAlex, Daniela D’Auria has authored 13 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Surgery. Recurrent topics in Daniela D’Auria’s work include Digital Marketing and Social Media (2 papers), Human Mobility and Location-Based Analysis (2 papers) and COVID-19 diagnosis using AI (2 papers). Daniela D’Auria is often cited by papers focused on Digital Marketing and Social Media (2 papers), Human Mobility and Location-Based Analysis (2 papers) and COVID-19 diagnosis using AI (2 papers). Daniela D’Auria collaborates with scholars based in Italy, Sweden and Czechia. Daniela D’Auria's co-authors include Lorenzo Scalera, Francesco Cutugno, Marco Bietresato, Maria Escolino, Bruno Siciliano, Alessandro Gasparetto, Fabio Persia, Renato Vidoni, Ciro Esposito and Giovanni Carabin and has published in prestigious journals such as Injury, Future Generation Computer Systems and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Daniela D’Auria i

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Fields of papers citing papers by Daniela D’Auria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela D’Auria. 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 Daniela D’Auria. The network helps show where Daniela D’Auria may publish in the future.

Countries citing papers authored by Daniela D’Auria

Since Specialization

Citations

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