Mauro Cherubini

1.6k total citations
54 papers, 959 citations indexed

About

Mauro Cherubini is a scholar working on Sociology and Political Science, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Mauro Cherubini has authored 54 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 17 papers in Human-Computer Interaction and 14 papers in Artificial Intelligence. Recurrent topics in Mauro Cherubini's work include Privacy, Security, and Data Protection (10 papers), Impact of Technology on Adolescents (8 papers) and Usability and User Interface Design (8 papers). Mauro Cherubini is often cited by papers focused on Privacy, Security, and Data Protection (10 papers), Impact of Technology on Adolescents (8 papers) and Usability and User Interface Design (8 papers). Mauro Cherubini collaborates with scholars based in Switzerland, Spain and United States. Mauro Cherubini's co-authors include Nuria Oliver, Rodrigo Cardoso de Oliveira, Rob DeLine, Gina Venolia, Amy J. Ko, Pierre Dillenbourg, Karen Church, Marc-Antoine Nüssli, Juan Pablo Carrascal and Vijay Erramilli and has published in prestigious journals such as Computers in Human Behavior, ACM Computing Surveys and International Journal of Human-Computer Studies.

In The Last Decade

Mauro Cherubini

51 papers receiving 912 citations

Peers

Mauro Cherubini
Comparison fields: 5 of 95
  • Human-Computer Interaction 279
  • Sociology and Political Science 254
  • Information Systems 224
  • Artificial Intelligence 182
  • Computer Vision and Pattern Recognition 142
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Citations per field, relative to Mauro Cherubini
Mauro Cherubini · 1×
Citations per year, relative to Mauro Cherubini
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Countries citing papers authored by Mauro Cherubini

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Cherubini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Cherubini

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 1
5 1
6 0
7 2
8 17
9 4
10 5
11 23
12 10
13 74
14 1
15 3
16 39
17 26
18 2
19 1
20
DigitalSeed: An interactive toy for children’s explorations of plant growth and life cycles
0

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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