Check decision sciences papers: citations, claims and retractions

From Protocols to Publications: A Study in Selective Reporting of Outcomes in Randomized Trials in Oncology

Raghav, K. P. S., Mahajan, S., Yao, J. C., Hobbs, B. P., Berry, D. A., Pentz, R. D., Tam, A., Hong, W. K., Ellis, L. M., Abbruzzese, J., et al. (2015) · Journal of Clinical Oncology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 59

Reports of clinical trials should begin and end with up-to-date systematic reviews of other relevant evidence: A status report.

Clarke, M., Hopewell, S., & Chalmers, L. (2007) · Journal of the Royal Society of Medicine

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 59

Capacity for conducting systematic reviews in low- and middle-income countries: a rapid appraisal

Oliver, S., Bangpan, M., Stansfield, C., & Stewart, R. (2015) · Health Research Policy and Systems

Meta-analysis and systematic reviewsGlobal Health and Surgery

Cited by 59

Identifying and prioritizing critical factors for promoting the implementation and usage of big data in healthcare

Kim, M.-K., & Park, J.-H. (2017) · Information Development

Big Data Technologies and ApplicationsArtificial Intelligence in Healthcare

Cited by 59

CONSORT endorsement improves the quality of reports of randomized clinical trials in dentistry

Sarkis-Onofre, R., Poletto-Neto, V., Cenci, M. S., Moher, D., & Pereira-Cenci, T. (2020) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 59

Quality of Reports on Randomized Controlled Trials Conducted in Japan: Evaluation of Adherence to the CONSORT Statement

Uetani, K., Nakayama, T., Ikai, H., Yonemoto, N., & Moher, D. (2009) · Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 59

ASReview LAB - A tool for AI-assisted systematic reviews

developers, A. L. (2026) · Zenodo

Meta-analysis and systematic reviewsMachine Learning and Algorithms

Cited by 59

Identifying observational studies of surgical interventions in MEDLINE and EMBASE

Fraser, C., Murray, A., & Burr, J. (2006) · BMC Medical Research Methodology

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 58

Improving memory after interruption: Exploiting soft constraints and manipulating information access cost.

Morgan, P. L., Patrick, J., Waldron, S. M., King, S. L., & Patrick, T. (2009) · Journal of Experimental Psychology: Applied

Personal Information Management and User BehaviorCognitive Functions and Memory

Cited by 58

Peer reviewers identified spin in manuscripts of nonrandomized studies assessing therapeutic interventions, but their impact on spin in abstract conclusions was limited

Lazarus, C., Haneef, R., Ravaud, P., Hopewell, S., Altman, D. G., & Boutron, I. (2016) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 58

Interruptions on software teams: a comparison of paired and solo programmers

Chong, J., & Siino, R. (2006) · Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work

Personal Information Management and User BehaviorSoftware Engineering Techniques and Practices

Cited by 58

Creating Exercise Habits Using Incentives: The Trade-off Between Flexibility and Routinization

Beshears, J., Lee, H. N., Milkman, K. L., Mislavsky, R., & Wisdom, J. (2021) · Management Science

Decision-Making and Behavioral EconomicsBehavioral Health and Interventions

Cited by 58

Distribution of Study Designs in Four Major US Journals of Obstetrics and Gynecology

Funai, E. F., Rosenbush, E. J., Lee, M.-J., & Del Priore, G. (2001) · Gynecologic and Obstetric Investigation

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 58

Digital Transformation in Supply Chain Management: Artificial Intelligence (AI) and Machine Learning (ML) as Catalysts for Value Creation

Singh, P. K. (2023) · International Journal of Supply Chain Management

Impact of AI and Big Data on Business and SocietySupply Chain and Inventory Management

Cited by 58

Dynamics of productivity and technical efficiency in Russian agriculture

Bokusheva, R., Hockmann, H., & Kumbhakar, S. C. (2012) · European Review of Agricultural Economics

Efficiency Analysis Using DEAAgricultural Development and Policies

Cited by 58

The impact of user‐perceived e‐procurement quality on system and contract compliance

Brandon‐Jones, A., & Carey, S. (2011) · International Journal of Operations & Production Management

Technology Adoption and User BehaviourQuality and Supply Management

Cited by 58

Validity and reliability of the Chinese version of the short Form of quality of life enjoyment and satisfaction questionnaire (Q-LES-Q-SF)

Lee, Y.-T., Liu, S.-I., Huang, H.-C., Sun, F.-J., Huang, C.-R., & Yeung, A. (2014) · Quality of Life Research

Psychometric Methodologies and TestingHealth Education and Validation

Cited by 58

Do people treat missing information adaptively when making inferences?

Garcia-Retamero, R., & Rieskamp, J. (2009) · Quarterly Journal of Experimental Psychology

Decision-Making and Behavioral EconomicsStatistical Methods and Bayesian Inference

Cited by 58

Reexamining the relationship between inventory management and firm performance: An organizational life cycle perspective

Elsayed, K., & Wahba, H. (2016) · Future Business Journal

Supply Chain and Inventory ManagementWorking Capital and Financial Performance

Cited by 58

Dental Research Waste in Design, Analysis, and Reporting: A Scoping Review

Pandis, N., Fleming, P. S., Katsaros, C., & Ioannidis, J. P. A. (2021) · Journal of Dental Research

Meta-analysis and systematic reviewsMethodologies in Health Research and Practice

Cited by 58

Measuring the operational and financial efficiency using a Malmquist data envelopment analysis: a case of Egyptian hospitals

Habib, A. M., & Shahwan, T. M. (2020) · Benchmarking: An International Journal

Efficiency Analysis Using DEAHealthcare Quality and Management

Cited by 58

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

Madni, S. H. H., Ali, J., Husnain, H. A., Masum, M. H., Mustafa, S., Shuja, J., Maray, M., & Hosseini, S. (2022) · Frontiers in Psychology

Technology Adoption and User BehaviourTechnology-Enhanced Education Studies

Cited by 58

Machine Learning Approaches for Early DRG Classification and Resource Allocation

Gartner, D., Kolisch, R., Neill, D. B., & Padman, R. (2015) · INFORMS Journal on Computing

Healthcare Operations and Scheduling OptimizationArtificial Intelligence in Healthcare

Cited by 58

Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines

Martindale, A. P. L., Llewellyn, C. D., de Visser, R. O., Ng, B., Ngai, V., Kale, A. U., di Ruffano, L. F., Golub, R. M., Collins, G. S., Moher, D., et al. (2024) · Nature Communications

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 58