Francesca Bonetti

839 citations
13 papers · 237 indexed · h-index 6
Topics
Consumer Retail Behavior Studies (8 papers)Consumer Behavior in Brand Consumption and Identification (4 papers)Virtual Reality Applications and Impacts (3 papers)

In The Last Decade

Francesca Bonetti

12 papers receiving 223 citations

Peers

Francesca Bonetti
Comparison fields: 5 of 55
  • Marketing 129
  • Sociology and Political Science 76
  • Artificial Intelligence 45
  • Information Systems and Management 39
  • Human-Computer Interaction 36
Replace Bharati Rathore with:
Bharati Rathore India
Federica Caboni Italy
Mariam Humayun Canada
Huanzhang Wang China
Ji-Yeon Kim United States
Aruna Polisetty India
Leora Kornfeld Canada
Nadzeya Kalbaska Switzerland
Konstantinos Solakis Spain
Karinna Nobbs United Kingdom
Francesca Bonetti relative to Bharati Rathore India Bharati Rathore's profile →
Citations per field
00.5×10×20×33×
Bharati Rathore · 1×
Citations per year

Countries citing papers authored by Francesca Bonetti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Bonetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Bonetti

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 2
5 37
6 3
7 9
8 112
9 24
10 3
11
The Digital Revolution in Fashion Retailing: Examining Managerial Processes and Challenges in the Adoption of Consumer-Facing In-Store Technology
5
12 24
13 13

About Francesca Bonetti

Francesca Bonetti is a scholar working on Marketing, Human-Computer Interaction and Organizational Behavior and Human Resource Management, having authored 13 papers that have together received 237 indexed citations. Recurring topics across this work include Consumer Retail Behavior Studies (8 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Marketing (129 citations), Human-Computer Interaction (36 citations) and Information Systems and Management (39 citations). Francesca Bonetti has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Emmanuel Sirimal Silva, Patsy Perry, Kirk Plangger, Matteo Montecchi, Hope Jensen Schau, Lee Quinn, Gary Warnaby, Eleonora Pantano, Abhishek Borah and Angelito Calma. Their work appears in journals such as Journal of the Academy of Marketing Science, European Journal of Marketing and Journal of Retailing and Consumer Services.

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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