Davide Piaggio

35 papers receiving 294 citations

Peers

Davide Piaggio
Comparison fields: 5 of 108
  • Health Informatics 20
  • Medical Laboratory Technology 18
  • Business and International Management 16
  • Modeling and Simulation 23
  • General Dentistry 7
Replace Alessia Maccaro with:
Alessia Maccaro United Kingdom
Chioma Anthonia Okolo United States
Shawna Pandya Canada
Rakesh Yadav India
Sian Bradley Australia
Jeremiah Olawumi Arowoogun Nigeria
Ildar Fakhradiyev Kazakhstan
Rachel Marjorie Wei Wen Tseng Singapore
Mi-Jin Park South Korea
Oloruntoba Babawarun United States
Davide Piaggio relative to Alessia Maccaro United Kingdom Alessia Maccaro's profile →
Citations per field
00.5×1.6×
Alessia Maccaro · 1×
Citations per year

Countries citing papers authored by Davide Piaggio

Since Specialization
Citations

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

Fields of papers citing papers by Davide Piaggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Piaggio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Piaggio Line = papers co-authored together Davide Piaggio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 202132
3 202030
4 202119
5 201917
6 202315
7 201913
8 202412
9 202311
10 202410
11 202210
12 20229
13 20219
14 20238
15 20218
16 20195
17 20235
18 20234
19 20214
20 20214

About Davide Piaggio

Davide Piaggio is a scholar working on Biomedical Engineering, Public Health, Environmental and Occupational Health, Surgery, Pediatrics, Perinatology and Child Health and Health Informatics, having authored 39 papers that have together received 300 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Biomedical and Engineering Education (5 papers), Quality and Safety in Healthcare (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Vaccine Coverage and Hesitancy (3 papers), IoT and Edge/Fog Computing (3 papers), Global Maternal and Child Health (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Health Informatics (20 citations), Medical Laboratory Technology (18 citations), Business and International Management (16 citations), Modeling and Simulation (23 citations) and General Dentistry (7 citations). Davide Piaggio has collaborated with scholars based in United Kingdom, Italy and Benin. Frequent co-authors include Leandro Pecchia, Alessia Maccaro, Ernesto Iadanza, Rossana Castaldo, Marco Cinelli, Paolo Melillo, Sharifah Sekalala, Arti Ahluwalia, Carmelo De Maria and Concetta Anna Dodaro. Their work appears in journals such as BMC Health Services Research, Journal of Personalized Medicine, International Journal of Surgery, Scientific Reports and Biophysical Reviews.

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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