Check decision sciences papers: citations, claims and retractions

Innovative tools for quality assessment: integrated quality criteria for review of multiple study designs (ICROMS)

Zingg, W., Castro-Sanchez, E., Secci, F. V., Edwards, R., Drumright, L. N., Sevdalis, N., & Holmes, A. H. (2016) · Public Health

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 143

Searching multiple databases for systematic reviews: added value or diminishing returns?

Stevinson, C., & Lawlor, D. A. (2004) · Complementary Therapies in Medicine

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 143

Assessing behavioral health outcomes in outpatient programs: Reliability and validity of the BASIS-32

Eisen, S. V., Wilcox, M., Leff, H. S., Schaefer, E., & Culhane, M. A. (1999) · The Journal of Behavioral Health Services & Research

Psychometric Methodologies and TestingHealth Education and Validation

Cited by 143

A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?

Chen, Y., Kirshner, S. N., Ovchinnikov, A., Andiappan, M., & Jenkin, T. (2025) · Manufacturing & Service Operations Management

Impact of AI and Big Data on Business and SocietyArtificial Intelligence Applications

Cited by 143

Improving Conduct and Reporting of Narrative Synthesis of Quantitative Data (ICONS-Quant): protocol for a mixed methods study to develop a reporting guideline

Campbell, M., Katikireddi, S. V., Sowden, A., McKenzie, J. E., & Thomson, H. (2018) · BMJ Open

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 142

Ratio measures in leading medical journals: structured review of accessibility of underlying absolute risks

Schwartz, L. M., Woloshin, S., Dvorin, E. L., & Welch, H. G. (2006) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 142

Advances in statistical methods for meta‐analysis

Hedges, L. V. (1984) · New Directions for Program Evaluation

Meta-analysis and systematic reviewsEvaluation and Performance Assessment

Cited by 142

Errors in search strategies were identified by type and frequency

Sampson, M., & McGowan, J. (2006) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 142

Robot acceptance model for care (RAM-care): A principled approach to the intention to use care robots

Turja, T., Aaltonen, I., Taipale, S., & Oksanen, A. (2020) · Information & Management

Technology Adoption and User BehaviourSocial Robot Interaction and HRI

Cited by 142

The Burden of Proof studies: assessing the evidence of risk

Zheng, P., Afshin, A., Biryukov, S., Bisignano, C., Brauer, M., Bryazka, D., Burkart, K., Cercy, K. M., Cornaby, L., Dai, X., et al. (2022) · Nature Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 142

Sound credit scores and financial decisions despite cognitive aging

Li, Y., Gao, J., Enkavi, A. Z., Zaval, L., Weber, E. U., & Johnson, E. J. (2015) · Proceedings of the National Academy of Sciences

Decision-Making and Behavioral EconomicsFinancial Literacy, Pension, Retirement Analysis

Cited by 142

Two way analysis using covarites1

Denis, J. B. (1988) · Statistics

Optimal Experimental Design MethodsStatistical Methods and Applications

Cited by 142

Synthesising quantitative and qualitative research in evidence-based patient information

Goldsmith, M. R., Bankhead, C. R., & Austoker, J. (2007) · Journal of Epidemiology and Community Health

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 142

Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations

Dziak, J. J., Nahum-Shani, I., & Collins, L. M. (2012) · Psychological Methods

Optimal Experimental Design MethodsStatistical Methods and Bayesian Inference

Cited by 142

RETRACTED: Stochastic EDAS method for multi-criteria decision-making with normally distributed data

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017) · Journal of Intelligent & Fuzzy Systems

Multi-Criteria Decision MakingDecision Support System Applications

Cited by 142

Some Comparisons Among Quadratic, Spherical, and Logarithmic Scoring Rules

Bickel, J. E. (2007) · Decision Analysis

Forecasting Techniques and ApplicationsDecision-Making and Behavioral Economics

Cited by 142

Checklists of methodological issues for review authors to consider when including non‐randomized studies in systematic reviews

Wells, G. A., Shea, B., Higgins, J. P., Sterne, J., Tugwell, P., & Reeves, B. C. (2013) · Research Synthesis Methods

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 141

Factors affecting FinTech adoption: A systematic literature review

Firmansyah, E. A., Masri, M., Anshari, M., & Besar, M. H. A. (2022) · FinTech

Technology Adoption and User BehaviourFinTech, Crowdfunding, Digital Finance

Cited by 141

The History Of Project Management

Seymour, T., & Hussein, S. (2014) · International Journal of Management & Information Systems (IJMIS)

Construction Project Management and PerformanceManagement Theory and Practice

Cited by 141

Adoption and Use of Computer-Based Voice Over Internet Protocol Phone Service: Toward an Integrated Model

Park, N. (2010) · Journal of Communication

Technology Adoption and User BehaviourInnovation Diffusion and Forecasting

Cited by 141

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Ye, T., Xue, J., He, M., Gu, J., Lin, H., Xu, B., & Cheng, Y. (2019) · Journal of Medical Internet Research

Technology Adoption and User BehaviourArtificial Intelligence in Healthcare and Education

Cited by 141

The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring

Hanham, J., Lee, C. B., & Teo, T. (2021) · Computers & Education

Technology Adoption and User BehaviourOnline and Blended Learning

Cited by 141

Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers

Ebrahim, S., Akl, E. A., Mustafa, R. A., Sun, X., Walter, S. D., Heels-Ansdell, D., Alonso-Coello, P., Johnston, B. C., & Guyatt, G. H. (2013) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

Cited by 141

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach

Liu, Y., Liu, Q., Zhao, H., Pan, Z., & Liu, C. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 141