59,225 research outputs found
The skewness of computer science
Computer science is a relatively young discipline combining science,
engineering, and mathematics. The main flavors of computer science research
involve the theoretical development of conceptual models for the different
aspects of computing and the more applicative building of software artifacts
and assessment of their properties. In the computer science publication
culture, conferences are an important vehicle to quickly move ideas, and
journals often publish deeper versions of papers already presented at
conferences. These peculiarities of the discipline make computer science an
original research field within the sciences, and, therefore, the assessment of
classical bibliometric laws is particularly important for this field. In this
paper, we study the skewness of the distribution of citations to papers
published in computer science publication venues (journals and conferences). We
find that the skewness in the distribution of mean citedness of different
venues combines with the asymmetry in citedness of articles in each venue,
resulting in a highly asymmetric citation distribution with a power law tail.
Furthermore, the skewness of conference publications is more pronounced than
the asymmetry of journal papers. Finally, the impact of journal papers, as
measured with bibliometric indicators, largely dominates that of proceeding
papers.Comment: I applied the goodness-of-fit methodology proposed in: A. Clauset, C.
R. Shalizi, M. E. J. Newman. Power-law distributions in empirical data. SIAM
Review 51, 661-703 (2009
A bibliometric analysis of the Journal of Molecular Graphics and Modelling
This paper reviews the articles published in Volumes 2-24 of the Journal of Molecular Graphics and Modelling (formerly the Journal of Molecular Graphics), focusing on the changes that have occurred in the subject over the years, and on the most productive and most cited authors and institutions. The most cited papers are those describing systems or algorithms, but the proportion of these types of article is decreasing as more applications of molecular graphics and molecular modelling are reported
Applied Evaluative Informetrics: Part 1
This manuscript is a preprint version of Part 1 (General Introduction and
Synopsis) of the book Applied Evaluative Informetrics, to be published by
Springer in the summer of 2017. This book presents an introduction to the field
of applied evaluative informetrics, and is written for interested scholars and
students from all domains of science and scholarship. It sketches the field's
history, recent achievements, and its potential and limits. It explains the
notion of multi-dimensional research performance, and discusses the pros and
cons of 28 citation-, patent-, reputation- and altmetrics-based indicators. In
addition, it presents quantitative research assessment as an evaluation
science, and focuses on the role of extra-informetric factors in the
development of indicators, and on the policy context of their application. It
also discusses the way forward, both for users and for developers of
informetric tools.Comment: The posted version is a preprint (author copy) of Part 1 (General
Introduction and Synopsis) of a book entitled Applied Evaluative
Bibliometrics, to be published by Springer in the summer of 201
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