Gabriele Baima

411 total citations · 1 hit paper
14 papers, 252 citations indexed

About

Gabriele Baima is a scholar working on Sociology and Political Science, Marketing and Information Systems and Management. According to data from OpenAlex, Gabriele Baima has authored 14 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 6 papers in Marketing and 4 papers in Information Systems and Management. Recurrent topics in Gabriele Baima's work include Digital Marketing and Social Media (7 papers), Consumer Behavior in Brand Consumption and Identification (5 papers) and Technology Adoption and User Behaviour (4 papers). Gabriele Baima is often cited by papers focused on Digital Marketing and Social Media (7 papers), Consumer Behavior in Brand Consumption and Identification (5 papers) and Technology Adoption and User Behaviour (4 papers). Gabriele Baima collaborates with scholars based in Italy, United Kingdom and Cyprus. Gabriele Baima's co-authors include Gabriele Santoro, Rebecca Pera, Sarah Quinton, Demetris Vrontis, Canio Forliano, Stefano Bresciani, Cristian Rizzo, Maciej Mitręga, Anna Claudia Pellicelli and Riccardo Resciniti and has published in prestigious journals such as Journal of Business Research, Technological Forecasting and Social Change and Psychology and Marketing.

In The Last Decade

Gabriele Baima

12 papers receiving 245 citations

Hit Papers

Will virtual influencers overcome the uncanny valley? The... 2024 2026 2025 2024 10 20 30 40

Peers

Gabriele Baima
Comparison fields: 5 of 61
  • Sociology and Political Science 115
  • Marketing 84
  • Strategy and Management 62
  • Information Systems and Management 38
  • Literature and Literary Theory 28
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Citations per field, relative to Gabriele Baima
Gabriele Baima · 1×
Citations per year, relative to Gabriele Baima
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Countries citing papers authored by Gabriele Baima

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Baima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Baima

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 9
5
Will virtual influencers overcome the uncanny valley? The moderating role of social cues breakdown →
44
6 5
7 2
8 20
9 13
10 11
11 77
12 10
13 48
14 11

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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