Catherine E. Tucker
Sociology and Political Science · 2009–2020
A researcher in the Science corpus: 12 papers; trusts 71 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 102 citations into it; #518 of 22,756 by trust here, #1,055 by citations
- Economics and Econometrics — 76 citations into it; #5,672 of 23,481 by trust here, #6,031 by citations
- Marketing — 76 citations into it; #212 of 6,289 by trust here, #383 by citations
- Management Science and Operations Research — 54 citations into it
- Artificial Intelligence — 48 citations into it
- Safety Research — 44 citations into it
- Safety, Robustness & Interpretability — 30 citations into it; #1,455 of 2,251 by trust here, #1,780 by citations
- Strategy and Management — 29 citations into it; #1,252 of 10,874 by trust here, #2,601 by citations
Whom Catherine E. Tucker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven M. Edwards
- Avi Goldfarb
- Chunrong Ai
- Alastair R. Beresford
- Joshua D. Angrist
- Susan Athey
- Hairong Li
- Berkeley J. Dietvorst
- Alessandro Acquisti
- E. Norton
Who trusts Catherine E. Tucker overall
- Benedict G. C. Dellaert
- P. K. Kannan
- Alessandro Acquisti
- M. Wedel
- Avi Goldfarb
- Freya De Keyzer
- Andrew T. Stephen
- Anja Lambrecht
- Ramkumar Janakiraman
- T. Komarova
Papers from Catherine E. Tucker's perspective
Ordered by how strongly the researchers Catherine E. Tucker trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Certifying and Removing Disparate Impact
- The Economics of Discrimination
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- Mostly Harmless Econometrics: An Empiricist's Companion
- Discrimination in online ad delivery
- Counterfactual Fairness (Neural Information Processing Systems)
- Conditioning Prices on Purchase History
Their papers
- Algorithmic bias? An empirical study into apparent gender-based discrimination in the display of STEM career ads (2019) — 119 citations
- Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019) — 504 citations
- Privacy Regulation and Online Advertising (2010) — 645 citations
- When Does Retargeting Work? Information Specificity in Online Advertising (2013) — 542 citations
- Social Networks, Personalized Advertising, and Privacy Controls (2013) — 836 citations
- Online Display Advertising: Targeting and Obtrusiveness (2011) — 814 citations
- Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records (2009) — 330 citations
- The economics of advertising and privacy (2012) — 190 citations
- Privacy Regulation and Market Structure (2015) — 194 citations
- Advertising Bans and the Substitutability of Online and Offline Advertising (2011) — 123 citations
- Economics, Fairness and Algorithmic Bias (2020) — 150 citations
- The Digital Privacy Paradox: Small Money, Small Costs, Small Talk (2017) — 208 citations