Oded Netzer
- Marketing top 0.5%
- Consumer Market Behavior and Pricing 23
- Customer churn and segmentation 9
- Consumer Behavior in Brand Consumption and Identification 8
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics 8
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- Digital Marketing and Social Media 18
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- Advanced Text Analysis Techniques 12
- Sentiment Analysis and Opinion Mining 9
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- Economic and Environmental Valuation 7
Oded Netzer
57 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Marketing 1.5k
- General Decision Sciences 175
- Tourism, Leisure and Hospitality Management 61
- Organizational Behavior and Human Resource Management 394
- Information Systems and Management 243
Countries citing papers authored by Oded Netzer
This map shows the geographic impact of Oded Netzer'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 Oded Netzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oded Netzer more than expected).
Fields of papers citing papers by Oded Netzer
This network shows the impact of papers produced by Oded Netzer. 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 Oded Netzer. The network helps show where Oded Netzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oded Netzer, 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 | 2026 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 0 | |
| 10 | The Power of Brand Selfies in Consumer-Generated Brand Images | 2020 | 2 |
| 11 | 2019 | 13 | |
| 12 | 2019 | 148 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 41 | |
| 15 | Consumers’ Motivations For Engagement in the Sharing Economy | 2016 | 1 |
| 16 | 2016 | 13 | |
| 17 | 2015 | 21 | |
| 18 | 2014 | 75 | |
| 19 | 2011 | 63 | |
| 20 | Adaptive Self-Explication of Multi-attribute Preferences | 2007 | 3 |
About Oded Netzer
Oded Netzer is a scholar working on General Decision Sciences, Marketing, Organizational Behavior and Human Resource Management, Tourism, Leisure and Hospitality Management and Sociology and Political Science, having authored 65 papers that have together received 3.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (23 papers), Digital Marketing and Social Media (18 papers), Advanced Text Analysis Techniques (12 papers), Sentiment Analysis and Opinion Mining (9 papers), Customer churn and segmentation (9 papers), Consumer Behavior in Brand Consumption and Identification (8 papers), Decision-Making and Behavioral Economics (8 papers) and Economic and Environmental Valuation (7 papers). The work is most often cited by research in Marketing (1.5k citations), General Decision Sciences (175 citations), Tourism, Leisure and Hospitality Management (61 citations), Organizational Behavior and Human Resource Management (394 citations) and Information Systems and Management (243 citations). Oded Netzer has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ronen Feldman, Moshe Fresko, Jacob Goldenberg, David A. Schweidel, Joel Huber, Wendy W. Moe, Stephan Ludwig, Jonah Berger, Ashlee Humphreys and Ran Kivetz. Their work appears in journals such as Marketing Science, Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research and International Journal of Research in 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.