Dina Mayzlin
- Sociology and Political Science top 0.05%
- Marketing top 0.05%
- Information Systems and Management top 0.1%
- Organizational Behavior and Human Resource Management top 0.5%
- Artificial Intelligence top 1%
- Co-authors
- Judith A. ChevalierDavid GodesYaniv DoverJiwoong ShinChrysanthos DellarocasBruce E. PfeifferBarak LibaiSubrata K. Sen
- Topics
- Digital Marketing and Social Media (15 papers)Consumer Market Behavior and Pricing (13 papers)Media Influence and Politics (6 papers)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Dina Mayzlin
21 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Sociology and Political Science 6.9k
- Marketing 4.5k
- Information Systems and Management 1.8k
- Organizational Behavior and Human Resource Management 1.3k
- Artificial Intelligence 1.1k
Countries citing papers authored by Dina Mayzlin
This map shows the geographic impact of Dina Mayzlin'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 Dina Mayzlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dina Mayzlin more than expected).
Fields of papers citing papers by Dina Mayzlin
This network shows the impact of papers produced by Dina Mayzlin. 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 Dina Mayzlin. The network helps show where Dina Mayzlin may publish in the future.
Co-authorship network of co-authors of Dina Mayzlin
This figure shows the co-authorship network connecting the top 25 collaborators of Dina Mayzlin. A scholar is included among the top collaborators of Dina Mayzlin 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 Dina Mayzlin. Dina Mayzlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 56 | |
| 4 | 24 | |
| 5 | 125 | |
| 6 | 22 | |
| 7 | 25 | |
| 8 | Promotional Reviews: An Empirical Investigation of Online Review Manipulationbreakdown → | 603 |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 122 | |
| 12 | 1 | |
| 13 | 161 | |
| 14 | Firm-Created Word-of-Mouth Communication: Evidence from a Field Testbreakdown → | 620 |
| 15 | The Effect of Word of Mouth on Sales: Online Book Reviewsbreakdown → | 4311 |
| 16 | 20 | |
| 17 | 432 | |
| 18 | 11 | |
| 19 | 36 | |
| 20 | Using Online Conversations to Study Word-of-Mouth Communicationbreakdown → | 1953 |
About Dina Mayzlin
Dina Mayzlin is a scholar working on Marketing, Tourism, Leisure and Hospitality Management and Management Science and Operations Research, having authored 22 papers that have together received 8.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (15 papers), Consumer Market Behavior and Pricing (13 papers) and Media Influence and Politics (6 papers). The work is most often cited by research in Marketing (4.5k citations), Information Systems and Management (1.8k citations) and Sociology and Political Science (6.9k citations). Dina Mayzlin has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Judith A. Chevalier, David Godes, Yaniv Dover, Jiwoong Shin, Chrysanthos Dellarocas, Bruce E. Pfeiffer, Barak Libai, Subrata K. Sen, Mengze Shi and Peeter W.J. Verlegh. Their work appears in journals such as American Economic Review, Management Science and Journal of Marketing 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.