Valeria d’Andrea

794 citations
17 papers · 285 indexed · 2 hit papers · h-index 8

Valeria d’Andrea

15 papers receiving 279 citations

Hit Papers

Challenges and opportunitie...3420232026202420254080120

Peers

Valeria d’Andrea
Comparison fields: 5 of 71
  • Modeling and Simulation 96
  • Infectious Diseases 145
  • Health 60
  • Health Informatics 8
  • Communication 17
Replace Shayla Sharmin with:
Shayla Sharmin Bangladesh
Yair E. Lewis Israel
Baihan Lin United States
Roxanne Khamsi Canada
Matthew DeVerna United States
Jonas B. Sandbrink United Kingdom
Vivian Wan In Wei Hong Kong
Sebastián Contreras Chile
Divya Hosangadi United States
Prashanth Selvaraj United States
Valeria d’Andrea relative to Shayla Sharmin Bangladesh Shayla Sharmin's profile →
Citations per field
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Shayla Sharmin · 1×
Citations per year

Countries citing papers authored by Valeria d’Andrea

Since Specialization
Citations

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

Fields of papers citing papers by Valeria d’Andrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valeria d’Andrea. 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 Valeria d’Andrea. The network helps show where Valeria d’Andrea may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1
Challenges and opportunities for digital twins in precision medicine from a complex systems perspectivebreakdown →
202534
2 20251
3 20240
4 20237
5 20231
6 20234
7
Evaluation of Waning of SARS-CoV-2 Vaccine–Induced Immunitybreakdown →
2023137
8 20236
9 202221
10 20226
11 202214
12 202216
13 20228
14 20220
15 202114
16 20211
17 201815

About Valeria d’Andrea

Valeria d’Andrea is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 17 papers that have together received 285 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (4 papers), Neural dynamics and brain function (2 papers), Misinformation and Its Impacts (2 papers), Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (96 citations), Infectious Diseases (145 citations) and Health (60 citations). Valeria d’Andrea has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Manlio De Domenico, Agnese Zardini, Stefano Merler, Mattia Manica, Valentina Marziano, Piero Poletti, Filippo Trentini, Marco Ajelli, Giorgio Guzzetta and Francesco Menegale. Their work appears in journals such as Scientific Reports, PLoS Computational Biology and JAMA Network Open.

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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