Check decision sciences papers: citations, claims and retractions

Disruption and recovery of computing tasks: field study, analysis, and directions

Iqbal, S. T., & Horvitz, E. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Personal Information Management and User BehaviorUsability and User Interface Design

Cited by 300

Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study

Moustgaard, H., Clayton, G. L., Jones, H. E., Boutron, I., Jørgensen, L., Laursen, D. R. T., Olsen, M. F., Paludan-Müller, A., Ravaud, P., Savović, J., et al. (2020) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 300

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Chen, H., Li, L., & Chen, Y. (2021) · Journal of Management Analytics

Technology Adoption and User BehaviourInnovation Diffusion and Forecasting

Cited by 300

Blinding was judged more difficult to achieve and maintain in nonpharmacologic than pharmacologic trials

Boutron, I., Tubach, F., Giraudeau, B., & Ravaud, P. (2004) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 300

Excess Significance Bias in the Literature on Brain Volume Abnormalities

Ioannidis, J. P. A. (2011) · Archives of General Psychiatry

Meta-analysis and systematic reviewsAcademic integrity and plagiarism

Cited by 299

Heterogeneity in ecological and evolutionary meta‐analyses: its magnitude and implications

Senior, A. M., Grueber, C. E., Kamiya, T., Lagisz, M., O'Dwyer, K., Santos, E. S. A., & Nakagawa, S. (2016) · Ecology

Meta-analysis and systematic reviewsEcology and Vegetation Dynamics Studies

Cited by 299

Empirical bayes meta-analysis.

Raudenbush, S. W., & Bryk, A. S. (1985) · Journal of Educational Statistics

Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

Cited by 299

Guidelines for Reporting Trial Protocols and Completed Trials Modified Due to the COVID-19 Pandemic and Other Extenuating Circumstances: The CONSERVE 2021 Statement

Orkin, A. M., Gill, P. J., Ghersi, D., Campbell, L., Sugarman, J., Emsley, R., Steg, P. G., Weijer, C., Simes, J., Rombey, T., et al. (2021) · JAMA

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 299

Literature review of deteriorating inventory models by key topics from 2012 to 2015

Janssen, L., Claus, T., & Sauer, J. (2016) · International Journal of Production Economics

Supply Chain and Inventory ManagementSustainable Supply Chain Management

Cited by 299

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Jiang, Z., & Liang, J. (2016) · arXiv

Stock Market Forecasting MethodsRisk and Portfolio Optimization

Cited by 298

Nudge Units to Improve the Delivery of Health Care

Patel, M. S., Volpp, K. G., & Asch, D. A. (2018) · New England Journal of Medicine

Decision-Making and Behavioral EconomicsBehavioral Health and Interventions

Cited by 297

A psychometric evaluation of the Spanier dyadic adjustment scale

Sharpley, C. F., & Cross, D. G. (1982) · Journal of Marriage and the Family

Psychometric Methodologies and TestingAttachment and Relationship Dynamics

Cited by 297

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

Kohavi, R., Tang, D., & Xu, Y. (2020) · Cambridge University Press eBooks

Advanced Bandit Algorithms ResearchOptimal Experimental Design Methods

Cited by 297

Evaluation of various estimators for standardized mean difference in meta‐analysis

Lin, L., & Aloe, A. M. (2021) · Statistics in Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 297

Technical efficiency in developing country agriculture: a meta‐analysis

Thiam, A., Bravo‐Ureta, B. E., & Rivas, T. E. (2001) · Agricultural Economics

Efficiency Analysis Using DEAAgricultural economics and policies

Cited by 297

The effect of interruption duration and demand on resuming suspended goals.

Monk, C. A., Trafton, J. G., & Boehm-Davis, D. A. (2008) · Journal of Experimental Psychology: Applied

Personal Information Management and User BehaviorCognitive Functions and Memory

Cited by 296

Factors Influencing Attitudes of University Students towards ChatGPT and its Usage: A Multi-National Study Validating the TAME-ChatGPT Survey Instrument

Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., Mohammed, A. H., Hassan, B. A. R., Wayyes, A. M., Farhan, S. S., et al. (2023) · Scientific Reports

Technology Adoption and User BehaviourArtificial Intelligence in Education

Cited by 296

Evaluation of excess significance bias in animal studies of neurological diseases

Tsilidis, K. K., Panagiotou, O. A., Sena, E. S., Aretouli, E., Evangelou, E., Howells, D. W., Salman, R. A.-S., Macleod, M. R., & Ioannidis, J. P. A. (2013) · PLoS Biology

Meta-analysis and systematic reviewsAnimal testing and alternatives

Cited by 295

Predicting human interruptibility with sensors: a Wizard of Oz feasibility study

Hudson, S., Fogarty, J., Atkeson, C., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J., & Yang, J. (2003) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Personal Information Management and User BehaviorContext-Aware Activity Recognition Systems

Cited by 295

Using data envelopment analysis to measure the efficiency of non‐profit organizations: A critical evaluation

Nunamaker, T. R. (1985) · Managerial and Decision Economics

Efficiency Analysis Using DEANonprofit Sector and Volunteering

Cited by 295

Small studies may overestimate the effect sizes in critical care meta-analyses: a meta-epidemiological study

Zhang, Z., Xu, X., & Ni, H. (2013) · Critical Care

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 295

A Bayesian Perspective on the Reproducibility Project: Psychology

Etz, A., & Vandekerckhove, J. (2016) · PLOS ONE

Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

Cited by 295

Investigating and dealing with publication bias and other reporting biases in meta-analyses of health research: a review

Page, M. J., Sterne, J. A. C., Higgins, J. P. T., & Egger, M. (2021) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 294

Dealing with effect size multiplicity in systematic reviews and meta‐analyses

López‐López, J. A., Page, M. J., Lipsey, M. W., & Higgins, J. P. T. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 294