The source-item coverage of the exponential function

International audienceStatistical distributions in the production of information are most often studied in the framework of Lotkaian informetrics. In this article, we recall some results of basic theory of Lotkaian informetrics, then we transpose methods (Theorem1) applied to Lotkaian distributions by Leo Egghe (Theorem 2) to the exponential distributions (Theorem 3, Theorem 4). We give examples and compare the results (Theorem 5). Finally, we propose to widen the problem using the concept of exponential informetric process (Theorem 6).Les distributions statistiques dans le domaine de la production d'information sont le plus souvent étudiées dans le cadre de l'infométrie lotkaienne. Dans cet article, nous rappelons les résultats de base de la théorie lotkaienne, puis nous transposons les méthodes (théorème 1) appliquées aux distributions lotkaiennes par Leo Egghe (Théorème 2) aux distributions exponentielles (Théorème 3, Théorème 4). Nous donnons des exemples, puis nous élargissons le problème au concept de processus exponentiel infométrique (Théorème 6

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

A BIBLIOMETRIC ANALYSIS: RESEARCH OF URBAN FARMING IN INDONESIA PERIOD 1991-2023

This research is related to urban farming as a major variable in this publication. The aim of this research is to investigate the profile of original scientific articles along with reviews on the topic of urban farming in Indonesia in the period 1991-2023 using bibliometric analysis. Journals related to urban farming in Indonesia published between 1991-2023 are taken from Scopus. The records analyzed and taken from the research material as characteristic of the subsequent quotation containing the distribution of the author's name, year of publication, principal author institution, publisher processed using Microsoft Excel 2016 and VOSviewer v.1.61 are used to create bibliometric diagrams. A total of 81 journals published in Scopus were written by 160 identified authors. The number of published articles continued to increase from 1991 to 2023, with the majority of articles written in English. The most cited article is Aquaculture Research with a 10-year quotation. Visualization analysis based on the accuracy of connected words in titles and abstracts has revealed several groups of research. This research contributes to providing a systematic overview of the productivity and visibility of research projects focused on urban farming in Indonesia, which is expected to be used to organize and prioritize future research.

Empirical Examination of Lotka’s Law for Information Science and Library Science

The paper presents a bibliometric study on the fit of Lotka’s law on Information Science & Library Science journals indexed in Social Science Citation Index of Journal Citation Report from the period 1956 to 2014. The parameters of the Lotka's law model, C and α, were found using the linear least squares method and the Kolmogorov-Smirnov test was applied to estimate the kindness of adjustment of the results to the Lotka’s distribution. It was found that the pattern of publication of the LIS category articles fits to Lotka’s law

Empirical Examination of Lotka’s Law for Information Science and Library Science

The paper presents a bibliometric study on the fit of Lotka’s law on Information Science & Library Science journals indexed in Social Science Citation Index of Journal Citation Report from the period 1956 to 2014. The parameters of the Lotka's law model, C and α, were found using the linear least squares method and the Kolmogorov-Smirnov test was applied to estimate the kindness of adjustment of the results to the Lotka’s distribution. It was found that the pattern of publication of the LIS category articles fits to Lotka’s law

Concentration in Knowledge Output: A case of Economics Journals

This paper assesses the degree of author concentration in seven economics journals, which were published in India during 1990-2002. To measure the degree of author concentration, Lotka's Law was used. Moreover, we also make an exploratory analysis of the geographic, economics subfield and institutional concentration in 704 economics journals. An important finding of this paper is that specialized journals in the sample report the highest degree of author concentration. This result is quite similar to the findings by Cox and Chung (1991). Furthermore, there are several instances showing that the journals lean towards certain norms; this may affect the flow of innovative ideas into economics. We conclude that a knowledge activity, involving the high degree of concentration and a biased publication process, may affect the flow of new ideas into the discipline.Concentration, Lotka's Law

The Open Access Landscape of Institutional Repositories : A bibliometric analysis of Lund University Publications

This master’s thesis is a bibliometric study of the institutional repository Lund University Publishing. The study aims to investigate the role of institutional repositories in open access publishing and to examine institutional repositories’ potential in describing research impact through the download statistics they provide for their open access material. The Swedish Research Council’s recent report on research evaluation in Sweden and the planned development of the SwePub national research database are impetus for a closer evaluation of institutional repositories in Sweden. Although related research has approached these topics before, the current thesis will do so uniquely by combining metadata and usage data from an institutional repository with citation analysis from Web of Science to better understand the role of institutional repositories in making research output available open access. The research output data of three faculties at the large, multidisciplinary higher education institution Lund University were examined for the study. The results of the bibliometric analysis showed a trend of increased proportions of publications available open access in the institutional repository from 2008 to 2012. There were however differences between the faculties, with the Faculty of Medicine and the Faculty of Engineering showing a marked increase in open access content while the Faculties of the Humanities and Theology showed no increase. No substantial correlation was found between downloads and citations, suggesting that downloads represent a unique indicator of open access research impact, potentially reflecting use of scholarly material by a user group other than researcher colleagues. Further studies will however be needed to investigate the meaning of usage data in the form of download statistics