Check decision sciences papers: citations, claims and retractions

Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment

List, J. A., & Lucking-Reiley, D. (2000) · American Economic Review

Auction Theory and ApplicationsExperimental Behavioral Economics Studies

Cited by 171

Medium Maximization

Hsee, C. K., Yu, F., Zhang, J., & Zhang, Y. (2003) · Journal of Consumer Research

Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Cited by 171

Applied Measurement with jMetrik

Meyer, J. P. (2014) · Routledge eBooks

Psychometric Methodologies and TestingEducational Assessment and Pedagogy

Cited by 170

Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews

Shemilt, I., Simon, A., Hollands, G. J., Marteau, T. M., Ogilvie, D., O'Mara‐Eves, A., Kelly, M. P., & Thomas, J. (2014) · Research Synthesis Methods

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 170

Stock market prediction using deep learning algorithms

Mukherjee, S., Sadhukhan, B., Sarkar, N., Roy, D., & De, S. (2023) · CAAI Transactions on Intelligence Technology

Stock Market Forecasting MethodsHydrological Forecasting Using AI

Cited by 170

Could It Be Better to Discard 90% of the Data? A Statistical Paradox

Stanley, T. D., Jarrell, S. B., & Doucouliagos, H. (2010) · The American Statistician

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 170

Artificial intelligence to automate the systematic review of scientific literature

de la Torre-López, J., Ramírez, A., & Romero, J. R. (2023) · Computing

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 170

Rational thinking and cognitive sophistication: Development, cognitive abilities, and thinking dispositions.

Toplak, M. E., West, R. F., & Stanovich, K. E. (2014) · Developmental Psychology

Decision-Making and Behavioral EconomicsChild and Animal Learning Development

Cited by 170

The Physiome Model Repository 2

Yu, T., Lloyd, C. M., Nickerson, D. P., Cooling, M. T., Miller, A. K., Garny, A., Terkildsen, J. R., Lawson, J., Britten, R. D., Hunter, P. J., et al. (2011) · Bioinformatics

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 169

Parabolic discounting of monetary rewards by physical effort

Hartmann, M. N., Hager, O. M., Tobler, P. N., & Kaiser, S. (2013) · Behavioural Processes

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 169

A trust-risk perspective on social commerce use: an examination of the biasing role of habit

Farivar, S., Turel, O., & Yuan, Y. (2017) · Internet Research

Technology Adoption and User BehaviourDigital Marketing and Social Media

Cited by 169

A Portfolio Performance Index

Stutzer, M. (2000) · Financial Analysts Journal

Risk and Portfolio OptimizationFinancial Markets and Investment Strategies

Cited by 169

Lack of transparency in reporting narrative synthesis of quantitative data: a methodological assessment of systematic reviews

Campbell, M., Katikireddi, S. V., Sowden, A., & Thomson, H. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 169

On the Distinction Between Rationality and Intelligence: Implications for Understanding Individual Differences in Reasoning

Stanovich, K. E. (2012) · The Oxford Handbook of Thinking and Reasoning

Decision-Making and Behavioral EconomicsCognitive Abilities and Testing

Cited by 169

Number needed to treat (NNT) in clinical literature: an appraisal

Mendes, D., Alves, C., & Batel-Marques, F. (2017) · BMC Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 169

High Agreement and High Prevalence: The Paradox of Cohen’s Kappa

Zec, S., Soriani, N., Comoretto, R., & Baldi, I. (2017) · The Open Nursing Journal

Reliability and Agreement in MeasurementHealth Education and Validation

Cited by 169

Update on the endorsement of CONSORT by high impact factor journals: a survey of journal “Instructions to Authors” in 2014

Shamseer, L., Hopewell, S., Altman, D. G., Moher, D., & Schulz, K. F. (2016) · Trials

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 168

Searching two or more databases decreased the risk of missing relevant studies: a metaresearch study

Ewald, H., Klerings, I., Wagner, G., Heise, T. L., Stratil, J. M., Lhachimi, S. K., Hemkens, L. G., Gartlehner, G., Armijo-Olivo, S., & Nussbaumer-Streit, B. (2022) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 168

Apples and oranges (and pears, oh my!): the search for moderators in meta-analysis

Cortina, J. M. (2003) · Organizational Research Methods

Meta-analysis and systematic reviewsPsychology Research and Bibliometrics

Cited by 168

Evidence-Based Medicine, Systematic Reviews, and Guidelines in Interventional Pain Management: Part 6. Systematic Reviews and Meta-Analyses of Observational Studies

Manchikanti, L. (2009) · Pain Physician

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 168

Minimum Information About a Simulation Experiment (MIASE)

Waltemath, D., Adams, R., Beard, D. A., Bergmann, F. T., Bhalla, U. S., Britten, R., Chelliah, V., Cooling, M. T., Cooper, J., Crampin, E. J., et al. (2011) · PLoS Computational Biology

Scientific Computing and Data ManagementGene Regulatory Network Analysis

Cited by 168

Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

Landy, J. F., Jia, M. (., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., et al. (2020) · Psychological Bulletin

Meta-analysis and systematic reviewsPsychology Research and Bibliometrics

Cited by 168

Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews

Shemilt, I., Khan, N., Park, S., & Thomas, J. (2016) · Systematic Reviews

Meta-analysis and systematic reviewsHealth Systems, Economic Evaluations, Quality of Life

Cited by 168

A Study on Factors Influencing Designers’ Behavioral Intention in Using AI-Generated Content for Assisted Design: Perceived Anxiety, Perceived Risk, and UTAUT

Li, W. (2025) · International Journal of Human–Computer Interaction

Technology Adoption and User BehaviourDigital Media and Visual Art

Cited by 167