Fabian Ferrari
Impact in
- Marketing top 5%
- Sharing Economy and Platforms
- Public Administration top 10%
- Labor Movements and Unions
Papers in
-
- Digital Economy and Work Transformation 14
- Digital Games and Media 1
- Marketing 10
- Sharing Economy and Platforms 10
- Co-authors
- Mark Graham (13 shared papers)Niels van Doorn (3 shared papers)Fernando van der Vlist (2 shared papers)Anne Helmond (2 shared papers)Fenwick McKelvey (1 shared paper)Kelle Howson (4 shared papers)Funda Ustek‐Spilda (5 shared papers)José van Dijck (2 shared papers)
- Journals
- Global Networks (2 papers)New Media & Society (1 paper)Big Data & Society (1 paper)Nature Machine Intelligence (1 paper)International Labour Review (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Fabian Ferrari
17 papers receiving 483 citations
Fabian Ferrari's Hit Papers
Peers
Comparison fields: 5 of 70
- Marketing 184
- Public Administration 30
- Health Informatics 11
- Business and International Management 16
- Sociology and Political Science 334
Countries citing papers authored by Fabian Ferrari
This map shows the geographic impact of Fabian 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 Fabian Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Ferrari more than expected).
Fields of papers citing papers by Fabian Ferrari
This network shows the impact of papers produced by Fabian 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 Fabian Ferrari. The network helps show where Fabian Ferrari may publish in the future.
Co-authors
The 19 scholars most cited alongside Fabian Ferrari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Migration and Migrant Labour in the Gig Economy: An Intervention Hit paper breakdown → | 2022 | 124 |
| 2 | Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence Hit paper breakdown → | 2024 | 82 |
| 3 | 2021 | 73 | |
| 4 | 2021 | 44 | |
| 5 | 2020 | 44 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2023 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Fabian Ferrari
Fabian Ferrari is a scholar working on Sociology and Political Science, Marketing, General Health Professions, Strategy and Management and Economics and Econometrics, having authored 20 papers that have together received 508 indexed citations. Recurring topics across this work include Digital Economy and Work Transformation (14 papers), Sharing Economy and Platforms (10 papers), Employment and Welfare Studies (5 papers), Global trade, sustainability, and social impact (3 papers), Taxation and Compliance Studies (3 papers), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper), Artificial Intelligence in Healthcare (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Marketing (184 citations), Public Administration (30 citations), Health Informatics (11 citations), Business and International Management (16 citations) and Sociology and Political Science (334 citations). Fabian Ferrari has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Mark Graham, Niels van Doorn, Fernando van der Vlist, Anne Helmond, Fenwick McKelvey, Kelle Howson, Funda Ustek‐Spilda, José van Dijck, Hannah Johnston and Antal van den Bosch. Their work appears in journals such as Global Networks, New Media & Society, Big Data & Society, Nature Machine Intelligence and International Labour Review.
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.