Search
Now showing items 11-20 of 23
Exploring the interdisciplinarity patterns of highly cited papers
(Elsevier, 2020-12-31)
This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity ...
Task specialization across research careers
(eLife Sciences Publications, 2020-10-28)
Research careers are typically envisioned as a single path in which a scientist starts as a member of a team working under the guidance of one or more experienced scientists and, if they are successful, ends with the ...
Uncited papers are not useless
(MIT Press, 2021)
We study the citation dynamics of the papers published in three scientific disciplines (Physics,
Economics, and Mathematics) and four broad scientific categories (Medical, Natural, Social
Sciences, and Arts & Humanities). ...
The gendered nature of authorship
(American Association for the Advancement of Science, 2021-09-01)
Authorship is the primary form of symbolic capital in science. Despite this, authorship is rife with injustice and
malpractice, with women expressing concerns regarding the fair attribution of credit. Based on an ...
Collection development in the era of big deals
(Association of College and Research Libraries, 2021)
Drawing on an original methodology using citations, downloads, and survey data, this paper analyzes journal usage patterns across 28 Canadian universities. Results show that usage levels vary across disciplines and that ...
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome
(MIT Press, 2021-07-15)
We analyzed a data set of scientific manuscripts that were submitted to various conferences in artificial intelligence. We performed a combination of semantic, lexical, and psycholinguistic analyses of the full text of the ...
Improving reproducibility in machine learning research : a report from the NeurIPS 2019 reproducibility program
(Microtome Publishing, 2021)
One of the challenges in machine learning research is to ensure that presented and published
results are sound and reliable. Reproducibility, that is obtaining similar results as presented
in a paper or talk, using the ...
From art to science : a bibliometric analysis of architectural scholarly production from 1980 to 2015
(Public Library of Science, 2022-11-03)
According to recent literature on “architecture” as a discipline, practical knowledge relevant
to its process of making has decreased in importance in favor of a more academic approach.
Using data derived from Ulrich’s ...
Investigating the division of scientific labor using the Contributor Roles Taxonomy (CRediT)
(MIT Press, 2020)
Contributorship statements were introduced by scholarly journals in the late 1990s to provide
more details on the specific contributions made by authors to research papers. After more than a
decade of idiosyncratic ...
Trends in brain research : a bibliometric analysis
(Cambridge University Press, 2023-11-07)
Background:
Bibliometrics methods have allowed researchers to assess the popularity of brain research through the ever-growing number of brain-related research papers. While many topics of brain research have been covered ...