Showing papers in "Journal of Informetrics in 2011"

TL;DR: This approach combines performance analysis and science mapping for detecting and visualizing conceptual subdomains (particular themes or general thematic areas) and allows us to quantify and visualize the thematic evolution of a given research field.

TL;DR: This literature review began with a narrow search for quantitative measures of the output of IDR that could contribute to indicators, but the authors expanded the scope of the review as it became clear that differing definitions, assessment tools, evaluation processes, and measures all shed light on different aspects ofIDR.

TL;DR: In this article, the authors examine the theoretical basis of the normalization mechanism applied in the crown indicator and make a comparison with an alternative normalisation mechanism, which turns out to have more satisfactory properties than the traditional crown indicator.

TL;DR: A theoretical model based on social network theories and analytical methods for exploring collaboration (co-authorship) networks of scholars suggests that the professional social network of researchers can be used to predict the future performance of researchers.

TL;DR: The results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not Generally co author with each other, but closely cite each other.

TL;DR: The results of a three-level cross-classified mixed-effects meta-analysis show a high correlation between the h index and its variants: Depending on the model, the mean correlation coefficient varies between .8 and .9, which means that there is redundancy between most of the hIndex variants and the h Index.

TL;DR: This study investigates network indicators (betweenness centrality, unevenness indicators, and more recently proposed Rao–Stirling measures for “interdisciplinarity,” which performs better than the Gini coefficient but is sensitive to size.

TL;DR: An extension of the proposals of Bornmann (2010) for an improved practise of fieldormalized citation performance measurement is presented, intended to calculate a single measure for the citation mpact of a group of scientists that is not based on the arithmetic average but uses reference distributions.

TL;DR: This article explores bookmarkingData in STM and examines in how far it can be used to describe the perception of periodicals by the readership and proposes the application of social bookmarking data to journal evaluation.

TL;DR: Systematic analysis of applying a topology-based community detection approach and a topic-basedcommunity detection approach to the coauthorship networks of the information retrieval area found that communities detected by the topological approach tend to contain different topics within each community.

TL;DR: This communication provides an introduction, an example, pointers to relevant software, and summarizes the choices that can be made by the analyst, so that visualization (“semantic mapping”) is made more accessible.

TL;DR: The use of bibliometric evaluation, suitably integrated with expert review, for the forthcoming national assessment exercises is advocated, with the goal of shifting from the assessment of research excellence to the evaluation of average research performance without significant increase of expenses.

TL;DR: The proposed approach uses semantic orientation indexes as inputs for the neural networks to determine the sentiments of the bloggers quickly and effectively, and indicates that the proposed approach outperforms traditional approaches including other neural networks and several semantic orientation index approaches.

TL;DR: In this article, the authors attempt to provide an order of magnitude for the error in measurement that occurs with decreasing the time lapse between date of publication and citation count by analyzing publications indexed in the Thomson Reuters Italian National Citation Report.

TL;DR: New methods presented in this paper, enable us to map centers of excellence around the world using programs that are freely available and based on Scopus data, field-specific excellence can be identified and agglomerated in regions and cities where recently highly cited papers were published.

TL;DR: A comparative study of standard journal articles and PP in journals to explore potential differences between them and the main implications for authors, bibliometricians, journal editors and research evaluators are pointed out.

TL;DR: The cross-country comparisons show that USA is the leading country, and China is an up-and-coming contributor, and the visual mapping structures by co-occurrence analyses show that nanobiopharm-research is currently focused on the drug development for improving biodistribution, bioavailability and pharmacokinetics and the drug delivery for improving delivery of existing drugs.

TL;DR: It is concluded that expert surveys and citation impact journal ranking methods cannot be used as substitutes and should be used instead as complementary approaches.

TL;DR: This empirical study measures the extent and growth of scientific globalisation in terms of physical distances between co-authoring researchers, revealing that contemporary science has globalised at a fairly steady rate during recent decades.

TL;DR: It is claimed that, when studying a publication's contribution to the evolution of its field or to science in general, taking only direct citations into account tells only part of the story.

TL;DR: An axiomatic analysis of Impact Factors when used as tools for ranking journals draws on the similarities between the problem of comparing distribution of citations among papers and that of comparing probability distributions on consequences as commonly done in decision theory.

TL;DR: In this paper, an application of DEA methodology for measurement of technical and allocative efficiency of university research activity is proposed, based on bibliometric data from the Italian university system for the five-year period 2004-2008.

TL;DR: The h-degree of a node is the number dh if this node has at least dh links with other nodes and the strength of each of these links is greater than or equal to dh.

TL;DR: In this paper, the authors used Scopus and Web of Science data to identify regions of excellence in the world using computer programs that are freely available, such as Google Earth and MapReduce.

TL;DR: In this paper, the authors proposed a new crown indicator for citation behavior among fields of science, which is based on the scientometric problems of the old crown indicator of CWTS in Leiden.

TL;DR: A new index is presented, the c-index, in which the evaluated objects are the citations received by an author, a group of authors, a journal, etc., the quality function of a citation is the collaboration distance between the authors of the cited and the citing papers, and the sentencing line can take slopes between 0 and ∞.

TL;DR: Weaknesses in the ERA journal ranking are revealed and the need for a reasonable representation of journals ranked as A* in each scientific discipline is highlighted.

TL;DR: The results show that RoA relative impact indicators do not add up to unity (as they should by definition) at the level of the reference dataset, whereas the AoR does have that property.

TL;DR: Overall, it appears that authors cannot influence success of publications by including non-alphanumeric characters in fields where this is not already commonplace, and impact associated with such characters shows a less strong thematic relation.