| Data science and prediction V Dhar Communications of the ACM 56 (12), 64-73, 2013 | 1280 | 2013 |
| Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research R Agarwal, V Dhar Information systems research 25 (3), 443-448, 2014 | 922 | 2014 |
| Does chatter matter? The impact of user-generated content on music sales V Dhar, EA Chang Journal of Interactive marketing 23 (4), 300-307, 2009 | 751 | 2009 |
| Supporting systems development by capturing deliberations during requirements engineering B Ramesh, V Dhar IEEE Transactions on Software Engineering 18 (6), 498-510, 1992 | 442 | 1992 |
| Intelligent decision support methods: The science of knowledge work V Dhar, R Stein Prentice-Hall, Inc., 1997 | 353 | 1997 |
| Seven methods for transforming corporate data into business intelligence V Dhar, R Stein Prentice-Hall, Inc., 1997 | 323 | 1997 |
| On the Equivalence of Constraint Satisfaction Problems. F Rossi, CJ Petrie, V Dhar ECAI 90, 550-556, 1990 | 294 | 1990 |
| FinTech platforms and strategy V Dhar, RM Stein Communications of the ACM 60 (10), 32-35, 2017 | 202 | 2017 |
| Cognitive process as a basis for intelligent retrieval systems design H Chen, V Dhar Information Processing & Management 27 (5), 405-432, 1991 | 185 | 1991 |
| driven pattern discovery in databases V Dhar, A Tuzhulin IEEE Transactions on Knowledge and Data engineering 5 (6), 926-938, 1993 | 164 | 1993 |
| Issues and Opinions—Information technologies in business: A blueprint for education and research V Dhar, A Sundararajan Information Systems Research 18 (2), 125-141, 2007 | 156 | 2007 |
| Integer programming vs. expert systems: an experimental comparison V Dhar, N Ranganathan Communications of the ACM 33 (3), 323-336, 1990 | 149 | 1990 |
| Discovering Interesting Patterns for Investment Decision Making with GLOWER☹—A Genetic Learner Overlaid with Entropy Reduction V Dhar, D Chou, F Provost Data Mining and Knowledge Discovery 4, 251-280, 2000 | 124 | 2000 |
| Rule-based versus structure-based models for explaining and generating expert behavior V Dhar, HE Pople Communications of the ACM 30 (6), 542-555, 1987 | 99 | 1987 |
| User misconceptions of information retrieval systems H Chen, V Dhar NYU Working Paper No. IS-88-20, 1988 | 96 | 1988 |
| Prediction in economic networks V Dhar, T Geva, G Oestreicher-Singer, A Sundararajan Information Systems Research 25 (2), 264-284, 2014 | 74 | 2014 |
| On the plausibility and scope of expert systems in management V Dhar Journal of Management Information Systems 4 (1), 25-41, 1987 | 67 | 1987 |
| Dependence directed reasoning and learning in systems maintenance support V Dhar, M Jarke IEEE Transactions on Software Engineering 14 (2), 211-227, 1988 | 60 | 1988 |
| Representing and maintaining process knowledge for large-scale systems development B Ramaesh, V Dhar IEEE Expert 9 (2), 54-59, 1994 | 59 | 1994 |
| A comparison of nonlinear methods for predicting earnings surprises and returns V Dhar, D Chou IEEE Transactions on Neural networks 12 (4), 907-921, 2001 | 57 | 2001 |
