A Content Based Assessment of the Relative Quality of Leading Accounting Journals

This analysis advances faithful representation of statistical evidence as a substantive basis for assessing accounting journal research quality. The analysis builds upon recent work by Cready et al. (2019) indicating that accounting research articles commonly misrepresent null outcomes in their abstracts. Our analysis exploits this reporting deficiency to objectively assess journal reporting quality. The analysis determines misrepresentation rates for five leading general interest academic accounting journals based on direct review of article abstract contents. While all five of these journals commonly publish articles containing such misrepresentations, the relative frequencies with which they do so differ considerably. Moreover, the resulting rankings vary from those commonly reported in existent accounting journal quality and impact assessments. The analysis also finds that financial and archival studies are less prone to statistical evidence misrepresentation while audit and experimental studies are more prone to engaging in such misrepresentation

Quantifying Success in Science: An Overview

Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towards quantifying success in science. This lack of detailed analysis and summary continues a practical issue. The literature reports the factors influencing scholarly impact and evaluation methods and indices aimed at overcoming this crucial weakness. We focus on categorizing and reviewing the current development on evaluation indices of scholarly impact, including paper impact, scholar impact, and journal impact. Besides, we summarize the issues of existing evaluation methods and indices, investigate the open issues and challenges, and provide possible solutions, including the pattern of collaboration impact, unified evaluation standards, implicit success factor mining, dynamic academic network embedding, and scholarly impact inflation. This paper should help the researchers obtaining a broader understanding of quantifying success in science, and identifying some potential research directions