Showing papers in "Journal of Informetrics in 2010"

TL;DR: In this paper, a unified approach to mapping and clustering of bibliometric networks is proposed, where the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle.

TL;DR: A size-independent indicator of journals’ scientific prestige, the SCImago Journal Rank (SJR) indicator, is proposed that ranks scholarly journals based on citation weighting schemes and eigenvector centrality and is designed for use with complex and heterogeneous citation networks such as Scopus.

TL;DR: A new indicator of journal citation impact, denoted as source normalized impact per paper (SNIP), is explored, taking into account characteristics of its properly defined subject field, and develops Eugene Garfield's notions of a field's ‘citation potential’ defined as the average length of references lists in a field and determining the probability of being cited.

TL;DR: A general positive association between cardinality of the author set of a paper and citation count as well as peer quality of the contribution is measured, which is stronger when the affiliations of authors are heterogeneous.

TL;DR: The effects of the Leiden normalization is shown for a recent evaluation where the author happened to have access to the underlying data.

TL;DR: The aim of the work presented here is to show how citations are distributed within a scientific area and determine the dependence of the citation count on the article features.

TL;DR: In this paper, the authors investigated the community structure of physics subfields in the citation network of all Physical Review publications between 1893 and 2007, and applied modularity maximization to uncover major communities that correspond to clearly identifiable subfields of physics.

TL;DR: Across 397 recent biomedical microarray studies, investigators were more likely to publicly share their raw dataset when their study was published in a high-impact journal and when the first or last authors had high levels of career experience and impact.

TL;DR: In this article, the authors reply to the criticism of Opthof and Leydesdorff on the way in which their institute applies journal and field normalizations to citation counts.

TL;DR: In this paper, the authors suggest that the set of citing papers can be considered as the relevant representation of the field of impact, in order to normalize for differences in citation behavior among fields, citations can be fractionally counted proportionately to the length of the reference lists in citing papers.

TL;DR: In this article, the authors studied the evolution of Slovenia's scientific collaboration network from 1960 to present with a yearly resolution and showed that the average path between any pair of scientists scales logarithmically with size after the largest component becomes large enough.

TL;DR: This article presents an algebra for mapping multi- Relational networks to single-relational networks, thereby exposing them to single -relational network analysis algorithms.

TL;DR: The authors investigate the relationship between the hg-ranking, ranking implied by Thomson Reuters’ Journal Impact Factor for 2008, and rankings in previous citation-based studies of marketing journals.

TL;DR: A new approach to describe the spread of research topics across disciplines using epidemic models based on applying individual-based models from mathematical epidemiology to the diffusion of a research topic over a contact network that represents knowledge flows over the map of science.

TL;DR: A new index is presented, called q2-index, which relates two different dimensions in a researcher’s productive core: a quantitative one (number of papers) and a qualitative one (impact of papers), which could obtain a more balanced and global view of the scientific production of researchers.

TL;DR: The paper presents the results of a longitudinal study of credit assignment practices in the fields of economics, high energy physics, and information science, and the practice of alphabetization of authorship is demonstrated to vary significantly between the fields.

TL;DR: It is found that small-world structure benefits innovation but it is limited to a special range after which the effects inversed and shorter path length always correlates with increased innovation output.

TL;DR: While the awardees in life sciences outperform on average the most preeminent rejected applicants, the situation is reversed in social sciences.

TL;DR: The variant proposed relies on the relative neighborhood of a citing journal, regarded as its micro-field and assumed to reflect the citation behavior in this area of science, which allows a large range of variation of the neighborhood, reflecting the local citation network, and partly alleviates the “cross-scale” normalization issue.

TL;DR: It is found that the two notions of popularity and prestige diverge more for the hard sciences, including physics, engineering, material sciences, and computer sciences, than they do for the geosciences, for biology-medical disciplines, and for the social sciences.

TL;DR: An important conclusion is that in subject areas where wider types of intellectual impact indicators outside the WoS and Scopus databases are needed for research evaluation, IOI can be used to help monitor research performance.

TL;DR: The segmented regression model (sRM) is proposed as a method to statistically estimate the number of papers in a scientist's publication list with the highest visibility, however, such sRM values should be compared across individuals with great care.

TL;DR: The correlations between peer review and citation indicators when evaluating research quality in library and information science (LIS) are studied.

TL;DR: The study focuses on the analysis of the information flow among the ISI subject categories and aims at finding an appropriate field structure of the Web of Science using the subject clustering algorithm developed in previous studies.

TL;DR: In this article, Opthof and Leydesdorff discuss the application of field normalized indicators of citation impact in the assessment of research performance of individual researchers and research groups.

TL;DR: In this study direct citations are weighted with shared references and co-citations in an attempt to decompose a citation network of articles on the subject of library and information science.

TL;DR: Surprisingly, the eigenfactor is also the most variable indicator when computed across different fields of science and social science, while article influence is the most stable in this respect, and hence the most suitable metric to be used interdisciplinarily.

TL;DR: It appears that as the emphasis moves from the research tool (LSA) itself to its applications in different fields, citations to papers with LSA in their titles tend to decrease.

TL;DR: An overview over the opportunities of probabilistic models in scientometrics is given and four examples from different topics are used to shed light on some important aspects of reliability and robustness of indicators based on stochastic models.