Giulia Bonelli
Impact in
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- General Social Sciences top 2%
- Computational and Text Analysis Methods
Papers in
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- Digital Marketing and Social Media 1
- Evolutionary Game Theory and Cooperation 1
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- Complex Network Analysis Techniques 2
- Opinion Dynamics and Social Influence 1
- Co-authors
- Rosaria Conte (2 shared papers)Nigel Gilbert (2 shared papers)M. San Miguel (1 shared paper)Guillaume Deffuant (1 shared paper)Jean‐Pierre Nadal (1 shared paper)Vittorio Loreto (1 shared paper)Andrzej Nowak (1 shared paper)Ángel Sánchez (1 shared paper)
- Journals
- The European Physical Journal Special Topics (2 papers)Advances in marketing, customer relationship management, and e-services book series (1 paper)Murdoch Research Repository (Murdoch University) (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Giulia Bonelli
4 papers receiving 295 citations
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 119
- General Social Sciences 23
- Communication 28
- Transportation 21
- Sociology and Political Science 135
Countries citing papers authored by Giulia Bonelli
This map shows the geographic impact of Giulia Bonelli'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 Giulia Bonelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Bonelli more than expected).
Fields of papers citing papers by Giulia Bonelli
This network shows the impact of papers produced by Giulia Bonelli. 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 Giulia Bonelli. The network helps show where Giulia Bonelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Bonelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Giulia Bonelli
Giulia Bonelli is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Marketing and Management Science and Operations Research, having authored 4 papers that have together received 319 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Consumer Behavior in Brand Consumption and Identification (1 paper), Consumer Retail Behavior Studies (1 paper), Digital Marketing and Social Media (1 paper), Data Visualization and Analytics (1 paper), Opinion Dynamics and Social Influence (1 paper), Evolutionary Game Theory and Cooperation (1 paper) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (119 citations), General Social Sciences (23 citations), Communication (28 citations), Transportation (21 citations) and Sociology and Political Science (135 citations). Giulia Bonelli has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Rosaria Conte, Nigel Gilbert, M. San Miguel, Guillaume Deffuant, Jean‐Pierre Nadal, Vittorio Loreto, Andrzej Nowak, Ángel Sánchez, D. Helbing and Claudio Cioffi‐Revilla. Their work appears in journals such as The European Physical Journal Special Topics, Advances in marketing, customer relationship management, and e-services book series and Murdoch Research Repository (Murdoch University).
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.