| Comparing the use of open and closed questions for Web-based measures of the continued-influence effect S Connor Desai, S Reimers Behavior Research Methods, 2019 | 164 | 2019 |
| The rational continued influence of misinformation SA Connor Desai, TD Pilditch, JK Madsen Cognition 205, 104453, 2020 | 48* | 2020 |
| Development of an information sheet providing rapport advice for interpreters in police interviews MK Dhami, J Goodman-Delahunty, S Connor Desai Police practice and research 18 (3), 291-305, 2017 | 23 | 2017 |
| Getting to the source of the illusion of consensus S Connor Desai, B Xie, BK Hayes Cognition 223, 105023, 2022 | 20 | 2022 |
| Widening access to Bayesian problem solving N Cruz, S Connor Desai, S Dewitt, U Hahn, D Lagnado, A Liefgreen, ... Frontiers in psychology 11, 660, 2020 | 17 | 2020 |
| Does explaining the origins of misinformation improve the effectiveness of a given correction? S Connor Desai, S Reimers Memory & Cognition, 2023 | 11 | 2023 |
| Consistency and credibility in legal reasoning: A Bayesian network approach. SC Desai, S Reimers, DA Lagnado CogSci, 2016 | 11 | 2016 |
| Some misinformation is more easily countered: An experiment on the continued influence effect. S Connor Desai, S Reimers CogSci, 2018 | 8 | 2018 |
| What do our sampling assumptions affect: how we encode data or how we reason from it? K Ransom, A Perfors, B Hayes, S Connor Desai Journal of Experimental Psychology: Learning, Memory and Cognition, 2022 | 6 | 2022 |
| Who is sensitive to selection biases in inductive reasoning? BK Hayes, SX Liew, S Connor Desai, DJ Navarro, Y Wen Journal of Experimental Psychology: Learning, Memory & Cognition, 2022 | 3 | 2022 |
| Source reliability and the continued influence effect of misinformation: A Bayesian network approach. JK Madsen, S Connor Desai, TD Pilditch CogSci, 2235-2241, 2019 | 2 | 2019 |
| But where's the evidence? The effect of explanatory corrections on inferences about false information. S Connor Desai, S Reimers CogSci, 2017 | 2 | 2017 |
| Sensitivity to Online Consensus Effects Within Individuals and Claim Types M Alister, KJ Ransom, S Connor Desai, EV Soh, B Hayes, A Perfors Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
| Changing your mind about the data: Updating sampling assumptions in inductive inference B Hayes, J Pham, J Lee, A Perfors, K Ransom, S Connor Desai Available at SSRN 4510557, 2023 | | 2023 |
| Linguistic Analysis of Epistemically Suspect Claims on Reddit SG Robson, SC Desai, K Martire, K Faasse, M Drew, A Wisken OSF, 2023 | | 2023 |
| The Dog that Didn’t Bark BK Hayes, SC Desai, K Ransom, C Kemp Sampling in Judgment and Decision Making, 153, 2023 | | 2023 |
| Censor Detection: Detecting and adjusting for sample bias S Connor Desai, C Kemp, B Hayes Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
| Building a consensus about consensus: psychological, computational, and philosophical approaches S Connor Desai Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
| Is one story better than two? Testing the effect of disjunction on jurors' decision-making M Vorms, K Tentori, SC Desai, D Lagnado International Conference on Thinking, 2020 | | 2020 |
| Nested Sets and Natural Frequencies S Dewitt, A Hsu, D Lagnado, S Connor Desai, N Fenton COGSCI'19: Creativity+ Cognition+ Computation 41, 1633-1639, 2019 | | 2019 |
Stian ReimersCity, University of LondonVerified email at city.ac.uk
