Check decision sciences papers: citations, claims and retractions

Food reinforcement, delay discounting and obesity

Epstein, L. H., Salvy, S. J., Carr, K. A., Dearing, K. K., & Bickel, W. K. (2010) · Physiology & Behavior

Decision-Making and Behavioral EconomicsObesity, Physical Activity, Diet

Cited by 334

Of apples and oranges, file drawers and garbage: Why validity issues in meta-analysis will not go away

Sharpe, D. (1997) · Clinical Psychology Review

Meta-analysis and systematic reviewsPsychology Research and Bibliometrics

Cited by 334

The Pros and Cons of Temporally Near and Distant Action.

Eyal, T., Liberman, N., Trope, Y., & Walther, E. (2004) · Journal of Personality and Social Psychology

Decision-Making and Behavioral EconomicsBehavioral Health and Interventions

Cited by 333

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

Cognitive and human factors in expert decision making: Six fallacies and the eight sources of bias

Dror, I. E. (2020) · Analytical Chemistry

Decision-Making and Behavioral EconomicsClinical Reasoning and Diagnostic Skills

Cited by 333

From Arksey and O’Malley and Beyond: Customizations to enhance a team-based, mixed approach to scoping review methodology

Westphaln, K. K., Regoeczi, W., Masotya, M., Vazquez-Westphaln, B., Lounsbury, K., McDavid, L., Lee, H., Johnson, J., & Ronis, S. D. (2021) · MethodsX

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 333

Don't let spurious accusations of pseudoreplication limit our ability to learn from natural experiments (and other messy kinds of ecological monitoring)

Davies, G. M., & Gray, A. (2015) · Ecology and Evolution

Meta-analysis and systematic reviewsStatistics Education and Methodologies

Cited by 333

The Relationship Between Uncertainty and Affect

Anderson, E. C., Carleton, R. N., Diefenbach, M., & Han, P. K. J. (2019) · Frontiers in Psychology

Decision-Making and Behavioral EconomicsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 332

Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions

Farley, S. S., Dawson, A., Goring, S. J., & Williams, J. W. (2018) · BioScience

Big Data Technologies and ApplicationsResearch Data Management Practices

Cited by 331

Using prediction markets to estimate the reproducibility of scientific research

Dreber, A., Pfeiffer, T., Almenberg, J., Isaksson, S., Wilson, B., Chen, Y., Nosek, B. A., & Johannesson, M. (2015) · Proceedings of the National Academy of Sciences

Meta-analysis and systematic reviewsPsychology Research and Bibliometrics

Cited by 331

When Rater Reliability Is Not Enough: Teacher Observation Systems and a Case for the Generalizability Study

Hill, H. C., Charalambous, C. Y., & Kraft, M. A. (2012) · Educational Researcher

Reliability and Agreement in MeasurementPsychometric Methodologies and Testing

Cited by 331

Ideology, Motivated Reasoning, and Cognitive Reflection: An Experimental Study

Kahan, D. M. (2012) · SSRN Electronic Journal

Decision-Making and Behavioral EconomicsSocial and Intergroup Psychology

Cited by 331

Toward a Physiology of Dual-Process Reasoning and Judgment: Lemonade, Willpower, and Expensive Rule-Based Analysis

Masicampo, E. J., & Baumeister, R. F. (2008) · Psychological Science

Decision-Making and Behavioral EconomicsBehavioral Health and Interventions

Cited by 331

Librarian co-authors correlated with higher quality reported search strategies in general internal medicine systematic reviews

Rethlefsen, M. L., Farrell, A. M., Osterhaus Trzasko, L. C., & Brigham, T. J. (2015) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 331

The role of administrative data in the big data revolution in social science research

Connelly, R., Playford, C. J., Gayle, V., & Dibben, C. (2016) · Social Science Research

Big Data Technologies and ApplicationsData Analysis and Archiving

Cited by 330

Determinants of E-Business Use in U.S. Firms

Hsu, P.-F., Kraemer, K. L., & Dunkle, D. (2006) · International Journal of Electronic Commerce

Technology Adoption and User BehaviourE-commerce and Technology Innovations

Cited by 330

Assessing risk of bias in a non‐randomized study

Sterne, J. A., Hernán, M. A., McAleenan, A., Reeves, B. C., & Higgins, J. P. (2019) · Cochrane Handbook for Systematic Reviews of Interventions

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 330

Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises

Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research

Impact of AI and Big Data on Business and SocietySupply Chain Resilience and Risk Management

Cited by 330

Beyond Diagnostic Accuracy: The Clinical Utility of Diagnostic Tests

Bossuyt, P. M., Reitsma, J. B., Linnet, K., & Moons, K. G. (2012) · Clinical Chemistry

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

Cited by 330

When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation

Murad, M. H., Wang, Z., Chu, H., & Lin, L. (2019) · BMJ

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 329

A comprehensive evaluation of ensemble learning for stock-market prediction

Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020) · Journal of Big Data

Stock Market Forecasting MethodsForecasting Techniques and Applications

Cited by 329

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

Horton, J., Filippas, A., & Manning, B. (2023) · National Bureau of Economic Research

Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Cited by 329

Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator

Pan, X. (2020) · Frontiers in Psychology

Technology Adoption and User BehaviourGender and Technology in Education

Cited by 329

From Systematic Reviews to Clinical Recommendations for Evidence- Based Health Care: Validation of Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) for Grading of Clinical Relevance~!2009-10-24~!2009-10-03~!2010-07-16~!

Kung, J. (2010) · The Open Dentistry Journal

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 329