| Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news T Geva, J Zahavi Decision support systems 57, 212-223, 2014 | 193 | 2014 |
| Using Forum and Search Data for Sales Prediction of High-Involvement Projects T Geva, G Oestreicher-Singer, N Efron, Y Shimshoni MIS Quarterly 41 (1), 65-82, 2017 | 120 | 2017 |
| Crowd-Squared: Amplifying the Predictive Power of Search Trend Data E Brynjolfsson, T Geva, S Reichman MIS Quarterly 40 (4), 941-961, 2016 | 100 | 2016 |
| Prediction in economic networks V Dhar, T Geva, G Oestreicher-Singer, A Sundararajan Information Systems Research 25 (2), 264-284, 2014 | 94 | 2014 |
| Who is a better decision maker? Data‐driven expert ranking under unobserved quality T Geva, M Saar‐Tsechansky Production and operations management 30 (1), 127-144, 2021 | 21 | 2021 |
| Do customers speak their minds? using forums and search for predicting sales T Geva, G Oestreicher-Singer, N Efron, Y Shimshoni | 13 | 2013 |
| Predicting intraday stock returns by integrating market data and financial news reports T Geva, J Zahavi | 13 | 2010 |
| More for less: Adaptive labeling payments in online labor markets T Geva, M Saar-Tsechansky, H Lustiger Data Mining and Knowledge Discovery 33 (6), 1625-1673, 2019 | 9 | 2019 |
| A machine learning framework for assessing experts’ decision quality W Dong, M Saar-Tsechansky, T Geva Management Science 71 (7), 5696-5721, 2025 | 8* | 2025 |
| Who’s A Good Decision Maker? Data-Driven Expert Worker Ranking under Unobservable Quality T Geva, M Saar-Tsechansky | 8 | 2016 |
| Using crowd-based data selection to improve the predictive power of search trend data E Brynjolfsson, T Geva, S Reichman | 6 | 2014 |
| Do LLMs Exhibit Human-Like Cognitive Biases? A Large-Scale Systematic Evaluation T Geva, A Goldstein, E Lary, C Levy SSRN, 2025 | 3 | 2025 |
| The predictive power of engagement in mobile consumption T Geva, S Reichman, I Somech | 3 | 2017 |
| Prediction in economic networks: Using the implicit gestalt in product graphs V Dhar, T Geva, G Oestreicher-Singer, A Sundararajan | 3 | 2012 |
| The information content of multiword# hashtags Z Ben-Ami, T Geva, I Yahav | 1 | 2018 |
| Crowd-Squared: Amplifying the Predictive Power of Large-Scale Crowd-Based Data E Brynjolfsson, T Geva, S Reichman MIS Quarterly 40, 1-41, 0 | 1 | |
| Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth I Yahav, A Goldstein, T Geva, S Meir, O Shehory Information Systems Research, 2025 | | 2025 |
| Data-Driven Link Screening for Increasing Network Predictability T Geva, I Yahav IEEE Transactions on Knowledge and Data Engineering 33 (6), 2380-2391, 2019 | | 2019 |
| Who Is a Good Decision Maker? Data-Driven Decision Ranking under Unobservable Quality T Geva, M Saar-Tsechansky Data-Driven Decision Ranking under Unobservable Quality (July 6, 2019), 2019 | | 2019 |
| Integrating Data Mining and Text Mining Methods for Intraday Forecasting of Stock Returns T Geva Tel Aviv University, 2011 | | 2011 |
Gal Oestreicher-SingerThe Coller School of Management, Tel Aviv UniversityVerified email at tau.ac.il
