Related Experiment Video
Updated: Dec 6, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
A bibliometric analysis of academic misconduct research in higher education: Current status and future research
Imran Ali1, Parves Sultan1, Mohamed Aboelmaged2
1School of Business and Law, Central Queensland University, Rockhampton, Australia.
Abstract:
The literature on academic misconduct has seen unprecedented growth over the past 20 years. As the research into this vital topic has grown, there have been a few reviews attempting to consolidate the literature. While the extant reviews have been insightful, a careful analysis reveals that these have somewhat different emphases, methods, and time intervals. Our study employs a bibliometric analysis approach on a large set of studies (779) published between 2000 and 2020. The analysis uncovers the key clusters, countries' co-authorship and evolution of research over the past two decades. It enriches contemporary knowledge on multifaceted issues of academic misconduct and offers resonant insights for academics, students, and policymakers. The paper concludes with several promising opportunities for future research.
More Related Videos
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Ethics in Research
Archival Research
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
Overview of Biostatistics in Health Sciences