
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Predicting replication outcomes in the Many Labs 2 study
Eskil Forsell, Domenico Viganola, Thomas Pfeiffer, et al.
(2018)
Open Access | Times Cited: 36
Eskil Forsell, Domenico Viganola, Thomas Pfeiffer, et al.
(2018)
Open Access | Times Cited: 36
Showing 1-25 of 36 citing articles:
Predicting the replicability of social science lab experiments
Adam Altmejd, Anna Dreber, Eskil Forsell, et al.
PLoS ONE (2019) Vol. 14, Iss. 12, pp. e0225826-e0225826
Open Access | Times Cited: 76
Adam Altmejd, Anna Dreber, Eskil Forsell, et al.
PLoS ONE (2019) Vol. 14, Iss. 12, pp. e0225826-e0225826
Open Access | Times Cited: 76
Many Labs 2: Investigating Variation in Replicability Across Sample and Setting
Richard Klein, Michelangelo Vianello, Fred Hasselman, et al.
(2018)
Open Access | Times Cited: 68
Richard Klein, Michelangelo Vianello, Fred Hasselman, et al.
(2018)
Open Access | Times Cited: 68
Reproducibility and replicability crisis: How management compares to psychology and economics – A systematic review of literature
Przemysław Hensel
European Management Journal (2021) Vol. 39, Iss. 5, pp. 577-594
Open Access | Times Cited: 37
Przemysław Hensel
European Management Journal (2021) Vol. 39, Iss. 5, pp. 577-594
Open Access | Times Cited: 37
Predicting replicability—Analysis of survey and prediction market data from large-scale forecasting projects
Michael Gordon, Domenico Viganola, Anna Dreber, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0248780-e0248780
Open Access | Times Cited: 33
Michael Gordon, Domenico Viganola, Anna Dreber, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0248780-e0248780
Open Access | Times Cited: 33
When Do Prediction Markets Return Average Beliefs? Experimental Evidence
Antonio Filippin, Marco Mantovani
(2025)
Closed Access
Antonio Filippin, Marco Mantovani
(2025)
Closed Access
Scientific Utopia: III. Crowdsourcing Science
Eric Luis Uhlmann, Christopher R. Chartier, Charles R. Ebersole, et al.
(2018)
Open Access | Times Cited: 34
Eric Luis Uhlmann, Christopher R. Chartier, Charles R. Ebersole, et al.
(2018)
Open Access | Times Cited: 34
Predicting and reasoning about replicability using structured groups
Bonnie C. Wintle, Fallon Mody, Eden T. Smith, et al.
(2021)
Open Access | Times Cited: 26
Bonnie C. Wintle, Fallon Mody, Eden T. Smith, et al.
(2021)
Open Access | Times Cited: 26
How Social Science Got Better
Matt Grossmann
Oxford University Press eBooks (2021)
Closed Access | Times Cited: 19
Matt Grossmann
Oxford University Press eBooks (2021)
Closed Access | Times Cited: 19
Predicting the Replicability of Social Science Lab Experiments
Adam Altmejd, Anna Dreber, Eskil Forsell, et al.
(2019)
Open Access | Times Cited: 22
Adam Altmejd, Anna Dreber, Eskil Forsell, et al.
(2019)
Open Access | Times Cited: 22
Many Labs 5: Testing pre-data collection peer review as an intervention to increase replicability
Charles R. Ebersole, Maya B Mathur, Erica Baranski, et al.
(2019)
Open Access | Times Cited: 15
Charles R. Ebersole, Maya B Mathur, Erica Baranski, et al.
(2019)
Open Access | Times Cited: 15
Predicting the replicability of social and behavioural science claims in COVID-19 preprints
Alexandru Marcoci, David P. Wilkinson, Anna Lou Abatayo, et al.
(2023)
Open Access | Times Cited: 3
Alexandru Marcoci, David P. Wilkinson, Anna Lou Abatayo, et al.
(2023)
Open Access | Times Cited: 3
Research Replication Prediction Using Weakly Supervised Learning
Tianyi Luo, Xingyu Li, Hainan Wang, et al.
(2020), pp. 1464-1474
Open Access | Times Cited: 6
Tianyi Luo, Xingyu Li, Hainan Wang, et al.
(2020), pp. 1464-1474
Open Access | Times Cited: 6
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking
Tianyi Luo, Rui Meng, Xin Wang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3864-3876
Open Access | Times Cited: 4
Tianyi Luo, Rui Meng, Xin Wang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3864-3876
Open Access | Times Cited: 4
Probabilistic forecasting of replication studies
Samuel Pawel, Leonhard Held
(2019)
Open Access | Times Cited: 4
Samuel Pawel, Leonhard Held
(2019)
Open Access | Times Cited: 4
Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events
Alexander Gruen, Karl Mattingly, Ellen Morwitch, et al.
EBioMedicine (2023) Vol. 96, pp. 104783-104783
Open Access | Times Cited: 1
Alexander Gruen, Karl Mattingly, Ellen Morwitch, et al.
EBioMedicine (2023) Vol. 96, pp. 104783-104783
Open Access | Times Cited: 1
Using prediction markets to estimate ratings of academic research quality in a mock Research Excellence Framework exercise
Jacqueline Thompson, Anna Dreber, Tom R. Gaunt, et al.
(2022)
Open Access | Times Cited: 2
Jacqueline Thompson, Anna Dreber, Tom R. Gaunt, et al.
(2022)
Open Access | Times Cited: 2
Two years into the Brazilian Reproducibility Initiative: reflections on conducting a large-scale replication of Brazilian biomedical science
Kleber Neves, Clarissa F. D. Carneiro, Ana Paula Wasilewska‐Sampaio, et al.
(2020)
Open Access | Times Cited: 1
Kleber Neves, Clarissa F. D. Carneiro, Ana Paula Wasilewska‐Sampaio, et al.
(2020)
Open Access | Times Cited: 1
RES: An Interpretable Replicability Estimation System for Research Publications
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 13230-13232
Open Access | Times Cited: 1
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 13230-13232
Open Access | Times Cited: 1
Establishing ground truth in the clinical neurosciences: if replication is the answer, then what are the questions?
Diana Priestley, Jason Staph, Sai Koneru, et al.
(2022)
Open Access | Times Cited: 1
Diana Priestley, Jason Staph, Sai Koneru, et al.
(2022)
Open Access | Times Cited: 1
Social Science Biases and Collective Knowledge
Matt Grossmann
Oxford University Press eBooks (2021), pp. 1-26
Closed Access | Times Cited: 1
Matt Grossmann
Oxford University Press eBooks (2021), pp. 1-26
Closed Access | Times Cited: 1
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
When expert predictions fail
Igor Grossmann, Michael E. W. Varnum, Cendri A. Hutcherson, et al.
(2023)
Open Access
Igor Grossmann, Michael E. W. Varnum, Cendri A. Hutcherson, et al.
(2023)
Open Access
How do scientists update their beliefs? An investigation of N scientists engaged in replication research
John Protzko, Alex O. Holcombe, Daniel J. Simons
(2019)
Open Access
John Protzko, Alex O. Holcombe, Daniel J. Simons
(2019)
Open Access
Opportunities and Constraints of the Disciplines
Matt Grossmann
Oxford University Press eBooks (2021), pp. 128-150
Closed Access
Matt Grossmann
Oxford University Press eBooks (2021), pp. 128-150
Closed Access