Information management and improvement of citation indices

GJESRM, 2019

Bibliometrics has become an increasingly necessary tool for studying and analyzing scientific activity. It is a field that uses quantitative means to evaluate academic productivity. This quantitative analysis of scientific literature is rapidly changing with the creation of new evaluation tools, parameters, and normative data and researcher must be able to extract, interpret and represent bibliometric data in different ways depending on the user. In this article, we review and discuss the process of creating a bibliometric data management and consultation tool, called Bibliometrics, whose aim to provide the needs of the different users. We review the paper by describing the reasons that have led us to create this tool, the information sources from which the data are taken (both bibliographic and bibliometric), and the bibliometric indicators used to present the information. This review indicates that bibliometrics offers a useful approach for measuring some aspects of research output and impact

2025

Bibliometrics or scientometrics is a method of systematically analyzing data. Bibliometrics consists of the way qualitative and quantitative data are evaluated and analyzed statistically. Bibliometric data analysis method is not in the fields of statistics and mathematics; It is also used in other disciplines. Bibliometric analysis, carried out together with different disciplines, is used in multidisciplinary studies. Academic publications such as articles, book chapters, papers and compilations are evaluated and analyzed according to the parameters of publication types, authors, publication years, publication languages, publication categories, countries of publications and publishing house. This study was created with the data obtained from the Scopus database with the words "BIBLIOMETRIC" or "SCIENTOMETRIC". Bibliometric data analysis has been carried out in various fields from 1969 to the present day. A steady increase is observed after the mid-2000s. It has been determined that the most common publication type in the field of bibliometrics is article, and the most used language is English. It has been analyzed that the discipline of bibliometrics produces the most academic publications in the field of social sciences. It is seen that academic publications are mostly published in China on a country basis. In this context, it includes determining the trends in the field of bibliometrics and determining the current situation.

In today’s scientific society, Science is one of the most popular and referred journals that have an impact factor of 33.611 according to journal citation reports of 2014. In this study a scientometric analysis of the research articles published in Science from 2006-2015 has been made based on the citation data available in the Web of Science. A brief study on the type of published items by Science has been made and publications under article section have been found highest. From 2006 to 2015 Science published 25987 items that contained 8045 (30.96%) items under article section. The influence of the research articles to the overhaul journal’s impact factor was calculated based on the immediacy index comparison of research articles and overall journal items for each year from 2006-2015. The average authorship of the research papers has seen an increasing trend and the researches published in Science are highly collaborative (degree of collaboration always ≥0.96). From cited references study, it was found that each year Science generates an average of 10% self citations from the outgoing citations through its research articles. After a Bradford’s distribution study on the cited references, it was found that the core group of cited journal by Science contains 15 journals that shares 24.91% of outgoing citations. Evaluation of subject area of core 15 journals reveals that research papers from “Biochemistry, Genetics & Molecular biology” get most citations from Science. USA is the top contributing country with 71.43% of article contribution and University of California System is the top contributing organization with 15.88% of article contribution between 2006-2015.

The main objective of this bibliometric study is to examine the publications globally from the Journal of Information Science in the specific period of forty two years (1979-2020). It provides insights into research-based activities. The data was extracted from the Science Citation Index database, Web of Science. This analysis provides information about the document types, yearly published documents within 42 years, top productive authors, top productive institutions and countries, frequently used keywords, and greatly cited articles. These aspects also meet the objectives of the study and provide the major findings such as the majority of the publications are "articles" belong to the Department of Information Science from the UK. That is also a top productive country. The author "Oppenheim C." is on the first position with highest total publications (TP). The highly used keyword is "Information" and the article "Usage patterns of collaborative tagging systems" has the highest ranking in the citation. This bibliometric research will update the researchers about the writing trends, institutions, and the countries involved in research activities.

2016

VOS is a new mapping technique that can serve as an alternative to the well-known technique of multidimensional scaling. We present an extensive comparison between the use of multidimensional scaling and the use of VOS for constructing bibliometric maps. In our theoretical analysis, we show the mathematical relation between the two techniques. In our experimental analysis, we use the techniques for constructing maps of authors, journals, and keywords. Two commonly used approaches to bibliometric mapping, both based on multidimensional scaling, turn out to produce maps that suffer from artifacts. Maps constructed using VOS turn out not to have this problem. We conclude that in general maps constructed using VOS provide a more satisfactory representation of a data set than maps constructed using well-known multidimensional scaling approaches.