Anca C. Micu
- Sociology and Political Science top 10%
- Marketing top 5%
- Information Systems and Management top 10%
- Literature and Literary Theory top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Iryna PentinaVéronique GuillouxJoseph T. PlummerEsther ThorsonJoel RubinsonOded NetzerArjun ChaudhuriTilottama G. Chowdhury
- Topics
- Digital Marketing and Social Media (9 papers)Consumer Behavior in Brand Consumption and Identification (7 papers)Marketing and Advertising Strategies (2 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Anca C. Micu
10 papers receiving 338 citations
Peers
Comparison fields: 5 of 47
- Sociology and Political Science 235
- Marketing 227
- Information Systems and Management 61
- Literature and Literary Theory 47
- Experimental and Cognitive Psychology 47
Countries citing papers authored by Anca C. Micu
This map shows the geographic impact of Anca C. Micu'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 Anca C. Micu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anca C. Micu more than expected).
Fields of papers citing papers by Anca C. Micu
This network shows the impact of papers produced by Anca C. Micu. 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 Anca C. Micu. The network helps show where Anca C. Micu may publish in the future.
Co-authorship network of co-authors of Anca C. Micu
This figure shows the co-authorship network connecting the top 25 collaborators of Anca C. Micu. A scholar is included among the top collaborators of Anca C. Micu 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 Anca C. Micu. Anca C. Micu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 192 | |
| 3 | What do Consumers Tweet About? The Role of Product Type and Brand Belief Type on User-Generated Content | 3 |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | TELLING THE BRAND STORY: INCLUDING NEWS ARTICLES IN ONLINE PROMOTIONAL STRATEGIES | 2 |
| 8 | 94 | |
| 9 | 20 | |
| 10 | Theoretical Approaches in Internet Advertising Research | 2 |
| 11 | An Economic Model of Permission Marketing: Win-win-win Relationship Building Among Marketers, ISPs, and Internet Users | 1 |
About Anca C. Micu
Anca C. Micu is a scholar working on Marketing, Sociology and Political Science and Human-Computer Interaction, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (9 papers), Consumer Behavior in Brand Consumption and Identification (7 papers) and Marketing and Advertising Strategies (2 papers). The work is most often cited by research in Marketing (227 citations), Information Systems and Management (61 citations) and Sociology and Political Science (235 citations). Anca C. Micu has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Iryna Pentina, Véronique Guilloux, Joseph T. Plummer, Esther Thorson, Joel Rubinson, Oded Netzer, Arjun Chaudhuri, Tilottama G. Chowdhury and Glen T. Cameron. Their work appears in journals such as Journal of Advertising, Internet Research and Journal of Advertising Research.
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.