Guglielmo Arzilli

1.1k total citations · 1 hit paper
28 papers, 665 citations indexed

About

Guglielmo Arzilli is a scholar working on Infectious Diseases, Health and Sociology and Political Science. According to data from OpenAlex, Guglielmo Arzilli has authored 28 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Health and 6 papers in Sociology and Political Science. Recurrent topics in Guglielmo Arzilli's work include Vaccine Coverage and Hesitancy (6 papers), COVID-19 diagnosis using AI (6 papers) and Misinformation and Its Impacts (5 papers). Guglielmo Arzilli is often cited by papers focused on Vaccine Coverage and Hesitancy (6 papers), COVID-19 diagnosis using AI (6 papers) and Misinformation and Its Impacts (5 papers). Guglielmo Arzilli collaborates with scholars based in Italy, Spain and United States. Guglielmo Arzilli's co-authors include Gaetano Pierpaolo Privitera, Caterina Rizzo, Luigi De Angelis, Francesco Baglivo, Paolo Ferragina, Alberto Eugenio Tozzi, Andrea Davide Porretta, Angelo Baggiani, Lara Tavoschi and Michele Totaro and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and JAMA Network Open.

In The Last Decade

Guglielmo Arzilli

24 papers receiving 640 citations

Hit Papers

ChatGPT and the rise of large language models: the new AI... 2023 2026 2024 2025 2023 100 200 300

Peers

Guglielmo Arzilli
Comparison fields: 5 of 107
  • Health Informatics 323
  • Artificial Intelligence 198
  • Radiology, Nuclear Medicine and Imaging 130
  • Sociology and Political Science 67
  • Infectious Diseases 64
Replace Zahir Kanjee with:
Zahir Kanjee United States
Susanne Gaube Germany
Mohamed Ali Ag Ahmed Canada
Ahmed Al Kuwaiti Saudi Arabia
Fatimah Alshahrani Saudi Arabia
Hadi Kazemi-Arpanahi Iran
Richard J Medford United States
Robert Challen United Kingdom
Mostafa Shanbehzadeh Iran
Megan Coffee United States
Zahir Kanjee United States View profile →
Citations per field, relative to Guglielmo Arzilli
Guglielmo Arzilli · 1×
Citations per year, relative to Guglielmo Arzilli
Guglielmo Arzilli · 1×

Countries citing papers authored by Guglielmo Arzilli

Since Specialization
Citations

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

Fields of papers citing papers by Guglielmo Arzilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guglielmo Arzilli

This figure shows the co-authorship network connecting the top 25 collaborators of Guglielmo Arzilli. A scholar is included among the top collaborators of Guglielmo Arzilli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guglielmo Arzilli. Guglielmo Arzilli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 1
5 16
6 3
7 1
8 0
9
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health breakdown →
396
10 37
11 6
12 2
13 6
14 10
15 0
16 8
17 17
18 0
19 43
20 1

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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2026