Ambra Ferrari

936 total citations · 1 hit paper
11 papers, 592 citations indexed

About

Ambra Ferrari is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology and Education. According to data from OpenAlex, Ambra Ferrari has authored 11 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 3 papers in Experimental and Cognitive Psychology and 3 papers in Education. Recurrent topics in Ambra Ferrari's work include Impact of Technology on Adolescents (6 papers), Child Development and Digital Technology (3 papers) and Social Media and Politics (2 papers). Ambra Ferrari is often cited by papers focused on Impact of Technology on Adolescents (6 papers), Child Development and Digital Technology (3 papers) and Social Media and Politics (2 papers). Ambra Ferrari collaborates with scholars based in Italy, United Kingdom and Australia. Ambra Ferrari's co-authors include Paolo Soraci, Mark D. Griffiths, Elena Del Fante, Fabrizia Mantovani, Federica Pallavicini, Alessandro Pepe, Carlo Chiorri, Marcello Sarini, Nadia Barberis and Eleonora Guaitoli and has published in prestigious journals such as Frontiers in Psychology, PRESENCE Virtual and Augmented Reality and Mindfulness.

In The Last Decade

Ambra Ferrari

11 papers receiving 571 citations

Hit Papers

Validation and Psychometric Evaluation of the Italian Ver... 2020 2026 2022 2024 2020 100 200 300

Peers

Ambra Ferrari
Comparison fields: 5 of 82
  • Clinical Psychology 336
  • Sociology and Political Science 168
  • Experimental and Cognitive Psychology 139
  • Social Psychology 100
  • Applied Psychology 98
Replace Tour Liu with:
Tour Liu China
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Nikolett Arató Hungary
Rick Harrington United States
Radek Trnka Czechia
Daniel Falla Spain
Giselle Pianowski Brazil
Paula Magalhães Portugal
Andreja Avsec Slovenia
Silvia Testa Italy
Tour Liu China View profile →
Citations per field, relative to Ambra Ferrari
Ambra Ferrari · 1×
Citations per year, relative to Ambra Ferrari
Ambra Ferrari · 1×

Countries citing papers authored by Ambra Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Ambra Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambra Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Ambra Ferrari. A scholar is included among the top collaborators of Ambra Ferrari 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 Ambra Ferrari. Ambra Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 3
3 11
4 14
5 11
6 5
7
Validation and Psychometric Evaluation of the Italian Version of the Fear of COVID-19 Scale breakdown →
336
8 23
9 31
10 118
11 38

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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