Emanuel de Bellis
- Marketing top 2%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Social Psychology
- Co-authors
- Gita Venkataramani JoharAndreas HerrmannBernd H. SchmittChristian HildebrandRalph HertwigMichael Schulte‐MecklenbeckMatthias SohnNathalie Martin
- Topics
- Consumer Behavior in Brand Consumption and Identification (8 papers)Consumer Retail Behavior Studies (6 papers)Product Development and Customization (5 papers)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Emanuel de Bellis
19 papers receiving 593 citations
Peers
Comparison fields: 5 of 80
- Marketing 291
- Sociology and Political Science 207
- Artificial Intelligence 106
- Information Systems and Management 101
- Social Psychology 80
Countries citing papers authored by Emanuel de Bellis
This map shows the geographic impact of Emanuel de Bellis'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 Emanuel de Bellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel de Bellis more than expected).
Fields of papers citing papers by Emanuel de Bellis
This network shows the impact of papers produced by Emanuel de Bellis. 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 Emanuel de Bellis. The network helps show where Emanuel de Bellis may publish in the future.
Co-authorship network of co-authors of Emanuel de Bellis
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuel de Bellis. A scholar is included among the top collaborators of Emanuel de Bellis 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 Emanuel de Bellis. Emanuel de Bellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 30 | |
| 4 | 27 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 82 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 162 | |
| 11 | Robots Save Us Time—But Do They Make Us Happier? | 1 |
| 12 | Smart Products Report 2020 | 1 |
| 13 | Consumer Perceptions of Autonomous Shopping Systems | 3 |
| 14 | 51 | |
| 15 | 18 | |
| 16 | 60 | |
| 17 | 28 | |
| 18 | 0 | |
| 19 | Can't See the Forest for the Trees: Increased Local Processing in Mass Customization Systems | 3 |
| 20 | 98 |
About Emanuel de Bellis
Emanuel de Bellis is a scholar working on Marketing, General Decision Sciences and Management of Technology and Innovation, having authored 21 papers that have together received 633 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (8 papers), Consumer Retail Behavior Studies (6 papers) and Product Development and Customization (5 papers). The work is most often cited by research in Marketing (291 citations), Information Systems and Management (101 citations) and General Decision Sciences (15 citations). Emanuel de Bellis has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Gita Venkataramani Johar, Andreas Herrmann, Bernd H. Schmitt, Christian Hildebrand, Ralph Hertwig, Michael Schulte‐Mecklenbeck, Matthias Sohn, Nathalie Martin, Reto Hofstetter and Kenichi Ito. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Marketing.
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.