Luca Marelli

24 papers receiving 377 citations

Peers

Luca Marelli
Comparison fields: 5 of 103
  • Health Informatics 17
  • Health 46
  • Applied Psychology 19
  • Health Information Management 15
  • Public Health, Environmental and Occupational Health 89
Replace Agata Ferretti with:
Agata Ferretti Switzerland
Momin M. Malik United States
Patrick Cheong‐Iao Pang Macao
Bill Fitzgerald
Anne Seymour United States
Luc Rocher United Kingdom
Ciara Staunton South Africa
Abigail Goben United States
Marcus Banks United States
Joanna Sleigh Switzerland
Luca Marelli relative to Agata Ferretti Switzerland Agata Ferretti's profile →
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Citations per year

Countries citing papers authored by Luca Marelli

Since Specialization
Citations

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

Fields of papers citing papers by Luca Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Marelli, 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 Luca Marelli Line = papers co-authored together Luca Marelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201942
3 201841
4 202233
5 202130
6 202329
7 202124
8 202117
9 202116
10 202215
11 202313
12 202113
13 201810
14 201710
15 20239
16 20207
17 20206
18 20235
19 20245
20 20243

About Luca Marelli

Luca Marelli is a scholar working on Health, Public Health, Environmental and Occupational Health, Physiology, Information Systems and Sociology and Political Science, having authored 27 papers that have together received 388 indexed citations. Recurring topics across this work include Ethics in Clinical Research (8 papers), Biomedical Ethics and Regulation (8 papers), COVID-19 Digital Contact Tracing (5 papers), Privacy, Security, and Data Protection (5 papers), Vaccine Coverage and Hesitancy (4 papers), Privacy-Preserving Technologies in Data (4 papers), Misinformation and Its Impacts (3 papers) and Global Security and Public Health (3 papers). The work is most often cited by research in Health Informatics (17 citations), Health (46 citations), Applied Psychology (19 citations), Health Information Management (15 citations) and Public Health, Environmental and Occupational Health (89 citations). Luca Marelli has collaborated with scholars based in Italy, Belgium and Austria. Frequent co-authors include Ine Van Hoyweghen, Giuseppe Testa, Mahsa Shabani, Susi Geiger, Katharina Kieslich, Barbara Prainsack, Bettina Zimmermann, Amelia Fiske, Tamar Sharon and Alessandro Blasimme. Their work appears in journals such as Science as Culture, Policy Studies, Health Policy, Critical Public Health and Public Understanding of Science.

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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