| Learning and memory processes following cochlear implantation: The missing piece of the puzzle DB Pisoni, WG Kronenberger, SH Chandramouli, CM Conway Frontiers in psychology 7, 493, 2016 | 87 | 2016 |
| Prior knowledge elicitation: The past, present, and future P Mikkola, OA Martin, S Chandramouli, M Hartmann, O Abril Pla, ... Bayesian Analysis 19 (4), 1129-1161, 2024 | 80 | 2024 |
| Statistics in the service of science: Don’t let the tail wag the dog H Singmann, D Kellen, GE Cox, SH Chandramouli, CP Davis-Stober, ... Computational Brain & Behavior 6 (1), 64-83, 2023 | 27 | 2023 |
| Bayes factors, relations to minimum description length, and overlapping model classes RM Shiffrin, SH Chandramouli, PD Grünwald Journal of mathematical psychology 72, 56-77, 2016 | 19 | 2016 |
| Verbal learning and memory in early-implanted, prelingually deaf adolescent and adult cochlear implant users SH Chandramouli, WG Kronenberger, DB Pisoni Journal of Speech, Language, and Hearing Research 62 (4), 1033-1050, 2019 | 15 | 2019 |
| Model selection, data distributions, and reproducibility RM Shiffrin, SH Chandramouli Reproducibility: Principles, problems, and practices, 2016 | 13 | 2016 |
| Extending bayesian induction SH Chandramouli, RM Shiffrin Journal of Mathematical Psychology 72, 38-42, 2016 | 13 | 2016 |
| Interactive causal structure discovery in earth system sciences L Melkas, R Savvides, SH Chandramouli, J Mäkelä, T Nieminen, ... The KDD'21 Workshop on Causal Discovery, 3-25, 2021 | 12 | 2021 |
| Extraordinary claims, extraordinary evidence? A discussion RM Shiffrin, D Matzke, JD Crystal, EJ Wagenmakers, SH Chandramouli, ... Learning & Behavior 49 (3), 265-275, 2021 | 7 | 2021 |
| A Workflow for building Computationally Rational Models of Human Behavior S Chandramouli, D Shi, A Putkonen, S De Peuter, S Zhang, J Jokinen, ... Computational Brain & Behavior, 1-21, 2024 | 6 | 2024 |
| Incorporating expert domain knowledge into causal structure discovery workflows J Mäkelä, L Melkas, I Mammarella, T Nieminen, S Chandramouli, ... Biogeosciences 19 (8), 2095-2099, 2022 | 6 | 2022 |
| Commentary on gronau and wagenmakers SH Chandramouli, RM Shiffrin Computational Brain & Behavior 2, 12-21, 2019 | 6 | 2019 |
| Salience, perceptual dimensions, and the diversion of attention KN Kumar, SH Chandramouli, RM Shiffrin The American journal of psychology 128 (2), 253-265, 2015 | 6 | 2015 |
| Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization S Chandramouli, Y Zhu, A Oulasvirta Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 5 | 2023 |
| Automating the practice of science: Opportunities, challenges, and implications S Musslick, LK Bartlett, SH Chandramouli, M Dubova, F Gobet, TL Griffiths, ... Proceedings of the National Academy of Sciences 122 (5), e2401238121, 2025 | 2 | 2025 |
| How can we make sound replication decisions? CP Davis-Stober, A Sarafoglou, B Aczel, SH Chandramouli, TM Errington, ... Proceedings of the National Academy of Sciences 122 (5), e2401236121, 2025 | 2 | 2025 |
| Online simulator-based experimental design for cognitive model selection A Aushev, A Putkonen, G Clarté, S Chandramouli, L Acerbi, S Kaski, ... Computational Brain & Behavior 6 (4), 719-737, 2023 | 2 | 2023 |
| Bayes factors for mixed models: A discussion J van Doorn, JM Haaf, AM Stefan, EJ Wagenmakers, GE Cox, ... Computational Brain & Behavior 6 (1), 140-158, 2023 | 2 | 2023 |
| Accommodation of Scientific Intuition Within Statistical Inference SH Chandramouli Indiana University, 2020 | 2 | 2020 |
| Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony M Dubova, S Chandramouli, G Gigerenzer, P Grünwald, W Holmes, ... Proceedings of the National Academy of Sciences 122 (5), e2401230121, 2025 | 1 | 2025 |
