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Issues
Winter 2020
EISSN 2641-3337
Editorial
In Memoriam
Research Articles
Article processing charges: Mirroring the citation impact or legacy of the subscription-based model?
Quantitative Science Studies (2020) 1 (1): 6–27.
The pricing of open access journals: Diverse niches and sources of value in academic publishing
Quantitative Science Studies (2020) 1 (1): 28–59.
The Multidimensional Research Agendas Inventory—Revised (MDRAI-R): Factors shaping researchers’ research agendas in all fields of knowledge
Quantitative Science Studies (2020) 1 (1): 60–93.
A supervised machine learning approach to trace doctorate recipients’ employment trajectories
Quantitative Science Studies (2020) 1 (1): 94–116.
Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems
Quantitative Science Studies (2020) 1 (1): 150–170.
Bibliometrics-based decision trees (BBDTs) based on bibliometrics-based heuristics (BBHs): Visualized guidelines for the use of bibliometrics in research evaluation
Quantitative Science Studies (2020) 1 (1): 171–182.
Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
Quantitative Science Studies (2020) 1 (1): 183–206.
Granularity of algorithmically constructed publication-level classifications of research publications: Identification of specialties
Quantitative Science Studies (2020) 1 (1): 207–238.
Consistency and validity of interdisciplinarity measures
Quantitative Science Studies (2020) 1 (1): 239–263.
Co-citations in context: Disciplinary heterogeneity is relevant
Quantitative Science Studies (2020) 1 (1): 264–276.
Intellectual and social similarity among scholarly journals: An exploratory comparison of the networks of editors, authors and co-citations
Quantitative Science Studies (2020) 1 (1): 277–289.
Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
Quantitative Science Studies (2020) 1 (1): 290–302.
On the topicality and research impact of special issues
Quantitative Science Studies (2020) 1 (1): 303–319.
h-Type indices, partial sums and the majorization order
Quantitative Science Studies (2020) 1 (1): 320–330.
Does the hα-index reinforce the Matthew effect in science? The introduction of agent-based simulations into scientometrics
Quantitative Science Studies (2020) 1 (1): 331–346.
Mendeley reader counts for US computer science conference papers and journal articles
Quantitative Science Studies (2020) 1 (1): 347–359.
Special Issue: Editorial
Special Issue: Articles
Web of Science as a data source for research on scientific and scholarly activity
Quantitative Science Studies (2020) 1 (1): 363–376.
Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies
Quantitative Science Studies (2020) 1 (1): 377–386.
Dimensions: Bringing down barriers between scientometricians and data
Quantitative Science Studies (2020) 1 (1): 387–395.
Microsoft Academic Graph: When experts are not enough
Quantitative Science Studies (2020) 1 (1): 396–413.
Crossref: The sustainable source of community-owned scholarly metadata
Quantitative Science Studies (2020) 1 (1): 414–427.
OpenCitations, an infrastructure organization for open scholarship
Quantitative Science Studies (2020) 1 (1): 428–444.
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