Anna Severin
Swiss National Science Foundation
21 Papers
79 Citations
Anna Severin is an academic researcher from Swiss National Science Foundation. The author has contributed to research in topics: Cross-sectional study & Computer science. The author has an hindex of 8, co-authored 18 publications. Previous affiliations of Anna Severin include University of Bern & University College London.
Chat about Author
Papers
Predatory journals: no definition, no defence
Agnes Grudniewicz,David Moher,Kelly D. Cobey,Gregory L. Bryson,Samantha Cukier,Kristiann Allen,Clare L Ardern,Lesley Balcom,Tiago Barros,Monica Berger,Jairo Buitrago Ciro,Lucia Cugusi,Michael R. Donaldson,Matthias Egger,Ian D. Graham,Matt Hodgkinson,Karim M. Khan,Mahlubi Mabizela,Andrea Manca,Katrin Milzow,Johann Mouton,Marvelous Muchenje,Tom Olijhoek,Alexander Ommaya,Bhushan Patwardhan,Deborah Poff,Laurie Proulx,Marc A. Rodger,Anna Severin,Michaela Strinzel,Mauro Sylos-Labini,Robyn Tamblyn,Marthie van Niekerk,Jelte M. Wicherts,Manoj M. Lalu +34 more
TL;DR: Leading scholars and publishers from ten countries have agreed a definition of predatory publishing that can protect scholarship that took 12 hours of discussion, 18 questions and 3 rounds to reach.
Blacklists and Whitelists To Tackle Predatory Publishing: a Cross-Sectional Comparison and Thematic Analysis
TL;DR: An in-depth understanding of quality criteria for scholarly journals is developed by analyzing journals and publishers indexed in blacklists of predatory journals and whitelists of legitimate journals and the lists’ inclusion criteria to provide insights into their utility and delineates the different notions of quality and legitimacy in scholarly publishing used.
134
Discipline-specific open access publishing practices and barriers to change: an evidence-based review.
TL;DR: Historically rooted publishing practices differ in terms of their compatibility with OA, which is the reason why OA can be assumed to be a natural continuation of publishing cultures in some disciplines, whereas in other disciplines, the implementation of OA faces major barriers and would require a change of research culture.
Gender and other potential biases in peer review: cross-sectional analysis of 38 250 external peer review reports.
TL;DR: In this paper, a cross-sectional analysis of peer review reports submitted from 2009 to 2016 using linear mixed effects regression models adjusted for research topic, applicant's age, nationality, affiliation and calendar period was performed.
44