Ashish Kumar
Marketing · with Bezawada · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Marketing — 21 citations into it; #5,626 of 6,289 by trust here, #1,817 by citations
- Sociology and Political Science — 17 citations into it; #20,141 of 22,756 by trust here, #6,087 by citations
- Economics and Econometrics — 14 citations into it
- Statistics and Probability — 10 citations into it
- Management Science and Operations Research — 9 citations into it
- Organizational Behavior and Human Resource Management — 8 citations into it
Whom Ashish Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sourafel Girma
- Seshadri Tirunillai
- Joshua D. Angrist
- Koen Pauwels
- Peter E. Rossi
- Sanjiv Ranjan Das
- M. Lechner
- Bryan K. Bollinger
- Holger Görg
- Gerard J. Tellis
Who trusts Ashish Kumar overall
- P. K. Kannan
- Kofi Osei-Frimpong
- Yiyi Li
- Ramkumar Janakiraman
- Evert de Haan
- Dongmei Cao
- Rebecca A. VanMeter
- Holly A. Syrdal
- Graeme McLean
- Hongshuang Li
Papers from Ashish Kumar's perspective
Ordered by how strongly the researchers Ashish Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Using Online Conversations to Study Word-of-Mouth Communication
- Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance (Marketing science (Providence, R.I.))
- The central role of the propensity score in observational studies for causal effects
- Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
- Exploring the value of online product reviews in forecasting sales: The case of motion pictures
- Mostly Harmless Econometrics: An Empiricist's Companion
- Return on Marketing: Using Customer Equity to Focus Marketing Strategy
- Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
- Evaluating the Foreign Ownership Wage Premium Using a Difference-in-Differences Matching Approach
- The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets (Marketing science (Providence, R.I.))