7 citations · 7 across the 3 of their papers we have counts for
3 papers
Gender and Discipline Shape Length, Content and Tone of Grant Peer Review Reports
Stefan Müller, Gabriel Okasa, Michaela Strinzel +3
Peer review by experts is central to the evaluation of grant proposals, but little is known about how gender and disciplinary differences shape the content and tone of grant peer r…
A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports
Gabriel Okasa, Alberto de León, Michaela Strinzel +4
Peer review in grant evaluation informs funding decisions, but the contents of peer review reports are rarely analyzed. In this work, we develop a thoroughly tested pipeline to ana…
Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study
Anna Severin, Michaela Strinzel, Matthias Egger +4
The journal impact factor (JIF) is often equated with journal quality and the quality of the peer review of the papers submitted to the journal. We examined the association between…