| The Quest for Content: How User Generated Links Can Facilitate Online Exploration J Goldenberg, G Oestreicher-Singer, S Reichman Journal of Marketing Research 49 (4), 452–468, 2012 | 182* | 2012 |
| Crowd-squared: amplifying the predictive power of search trend data E Brynjolfsson, T Geva, S Reichman MIS Quarterly 40 (4), 941-961, 2016 | 92* | 2016 |
| Or forum—tenure analytics: Models for predicting research impact D Bertsimas, E Brynjolfsson, S Reichman, J Silberholz Operations Research 63 (6), 1246-1261, 2015 | 61* | 2015 |
| Stuck online: When online engagement gets in the way of offline sales S Bar-Gill, S Reichman MIS Quarterly 45 (2), 755-788, 2021 | 29 | 2021 |
| Prediction of vaccine hesitancy based on social media traffic among Israeli parents using machine learning strategies S Bar-Lev, S Reichman, Z Barnett-Itzhaki Israel journal of health policy research 10, 1-8, 2021 | 26 | 2021 |
| The impact of social vs. nonsocial referring channels on online news consumption S Bar-Gill, Y Inbar, S Reichman Management Science 67 (4), 2420-2447, 2021 | 17 | 2021 |
| Using Predictive Analytics to Reduce Uncertainty in Enterprise Risk Management. H Ghasemkhani, S Reichman, G Westerman ICIS, 2015 | 5 | 2015 |
| The predictive power of engagement in mobile consumption T Geva, S Reichman, I Somech | 3 | 2017 |
| Engagement, Search Goals and Conversion-The Different M-Commerce Path to Conversion. A Goldstein, O Raphaeli, S Reichman ICIS, 2016 | 2 | 2016 |
| Designing Profit-Maximizing Recommender Systems in E-Commerce: An Experimental Analysis. M Lowin, D Oz, I Somech, M von Zahn, O Hinz, S Reichman Available at SSRN 4553876, 2023 | 1 | 2023 |
| Analyzing Purchase Decisions Using Dynamic Location Data T Shoshani, PP Zubcsek, S Reichman Journal of Interactive Marketing 59 (1), 1-18, 2024 | | 2024 |
| The Power of Recommendations: Sculpting Culture in the Digital Era D Oz, M von Zahn, M Lowin, S Reichman, O Hinz Available at SSRN 4554015, 2023 | | 2023 |
| An Experimental Analysis of The Negative Effect of Video on App Downloads I Somech, S Reichman, G Oestreicher-Singer Available at SSRN 4533039, 2023 | | 2023 |
| Predicting Store Closures Using Urban Mobility Data and Network Analysis T Shoshani, PP Zubcsek, S Reichman | | 2021 |
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabGeverifieerd e-mailadres voor stanford.edu
