Guglielmo Arzilli

51 total papers · 1.1k total citations
26 papers, 643 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 26 papers receiving a total of 643 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 Antibiotic Use and Resistance (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 Antibiotic Use and Resistance (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, Francesco Baglivo, Luigi De Angelis, Alberto Eugenio Tozzi, Paolo Ferragina, Andrea Davide Porretta, Lara Tavoschi, Angelo Baggiani and Simona Barnini 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

23 papers receiving 619 citations

Hit Papers

ChatGPT and the rise of l... 2023 2026 2024 2023 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guglielmo Arzilli 312 195 130 65 64 26 643
Zahir Kanjee 280 0.9× 182 0.9× 112 0.9× 11 0.2× 102 1.6× 32 663
Michiel Schinkel 356 1.1× 186 1.0× 197 1.5× 13 0.2× 50 0.8× 31 781
Khadijeh Moulaei 66 0.2× 91 0.5× 110 0.8× 22 0.3× 39 0.6× 66 580
Peyman Rezaei‐Hachesu 41 0.1× 134 0.7× 51 0.4× 25 0.4× 23 0.4× 55 728
Fatimah Alshahrani 77 0.2× 39 0.2× 43 0.3× 30 0.5× 290 4.5× 36 624
Luca Foschini 157 0.5× 207 1.1× 94 0.7× 27 0.4× 37 0.6× 28 682
Ran Ren 93 0.3× 38 0.2× 74 0.6× 39 0.6× 28 0.4× 54 706
Mahmood Alzubaidi 149 0.5× 152 0.8× 128 1.0× 67 1.0× 64 1.0× 49 680
Jesutofunmi A. Omiye 210 0.7× 181 0.9× 114 0.9× 10 0.2× 35 0.5× 16 561
Richard J Medford 29 0.1× 109 0.6× 44 0.3× 203 3.1× 85 1.3× 50 623

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

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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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