Network of Scientific Publications in Information Science

Journal of the American Society for …, 1998

in articles, regardless of which of their works are cited. discipline-information science-in terms of its au-ACA synthesizes many such counts. Now that 15 years thors. Names of those most frequently cited in 12 key have passed since it was introduced by White and Griffith journals from 1972 through 1995 were retrieved from So-(1981), the present writers wish to explore this literaturecial Scisearch via DIALOG. The top 120 were submitted based technique as a means for contributing to intellectual to author co-citation analyses, yielding automatic classifications relevant to histories of the field. Tables and history. As in that earlier article, we shall use authors graphics reveal: (1) The disciplinary and institutional affrom information science to illustrate that, although ACA filiations of contributors to information science; (2) the is applicable in any discipline (Bayer, Smart, & Mcspecialty structure of the discipline over 24 years; (3)

Constructal Law & Second Law Conference 2019, 2019

This work presents a network analysis of the scientific publications, co-authorship and citations associated with the word "constructal" that appear in journals between the years 1996 to 12/2018 using a search engine recognized in the international academic community (Scopus). The constructed network considers the existing relationships between authors and the number of publications and citations in the studied range of years. In addition, an evolution over time of the construction network is presented. The results show that the constructal field has been growing and spreading. So far, papers have been published on all of the continents, and the data are presented according to the publications density for each country.

International Journal of Advanced Trends in Computer Science and Engineering, 2020

The term "scientific publication" includes several types of scientific communications and digital broadcasts that scientific researchers make of their work towards their peers and an audience of specialists. These publications describe in detail the studies or experiments carried out and the conclusions drawn from them by the authors. They undergo an examination of the value of the results and the rigor of the scientific method used for the work carried out. In this paper we evaluated the quality of a scientific article on the subject (topic), based on its citations and where is it cited, we based on the Topic modeling theme with the choice of LDA algorithms applied to the corpus Nips (1987-2016) for detecting all subjects of each paper and there citations in a first step then on the citations of each article of the corpus and on the Sentiment Analysis using a lexical based approaches. Then we created a csv file containing the link of each paper with the other cited papers (relation cited-citing), and finally generated a semantic graph between these publications.

Journal of Informetrics, 2016

We introduce the author keyword coupling analysis (AKCA) method to visualize the field of information science (2006-2015). We then compare the AKCA method with the author bibliographic coupling analysis (ABCA) method in terms of first-and all-author citation counts. We obtain the following findings: (1) The AKCA method is a new and feasible method for visualizing a discipline's structure, and the ABCA and AKCA methods have their respective strengths and emphases. The relation within the ABCA method is based on the same references (knowledge base), whereas that within the AKCA method is based on the same keywords (lexical linguistic). The AKCA method appears to provide a less detailed picture, and more uneven sub-areas of a discipline structure. The relationships between authors are narrow and direct and feature multiple levels in AKCA. (2) All-author coupling provides a comprehensive picture; thus, a complete view of a discipline structure may require both first-and all-author coupling analyses. (3) Information science evolved continuously during the second decade of the World Wide Web. The KDA (knowledge domain analysis) camp became remarkably prominent, while the IR camp (information retrieval) experienced a further decline in hard IR research, and became significantly smaller; Patent analysis and Open Access emerged during this period. Mapping of Science and Bibliometric evaluation also experienced substantial growth.

2012

In this work the well known scientometric concepts of bibliographically coupled publications and co-cited references were applied to produce interactive maps of research fronts and knowledge bases of research fields. This article proposes a method and some standardization for the detection and visualization of research fronts and knowledge bases with two and three dimensional graphics inspired by geographical maps. Agglomerations of bibliographically coupled publications with a common knowledge base are identified and graphically represented by a density function of publications per area unit. The research fronts become visible if publications with similar vectors of common citations are associated and visualized as an ensemble in a three dimensional graphical representation as a mountain scenery measured with the help of a spatial density. Knowledge bases were calculated in the same way. Maps similar to the geographic representation of oceans and islands are used to visualize the twodimensional spatial density function of references weighted by individual links. The proposed methodology is demonstrated by publications in the field of battery research.

Zagadnienia Informacji Naukowej - Studia Informacyjne

Purpose/Thesis: This paper analyses the publications of two authors from different countries through a number of citations identified by Google Scholar. Jean Meyriat and Edson Nery da Fonseca are outstanding researchers in France and Brazil, respectively, both contributing to the formation and advancement of information science in their countries. The “traditional” bibliography and the development trajectory of their scientific achievements were considered in this analysis.Approach/Methods: The analysis of the researchers’ publications identified by Google Scholar based on their names helps to understand the role that search engines play in the evaluation of science and its effect on information seeking and in the evaluation of the scientific production. The qualitative research is based on a bibliological analyses focusing on the way in which the written production of the selected authors is reported and highlighted. The carried out study is exploratory in nature, so it proposes to...

Eleventh International Conference on …, 2010

The study presented here shows a method based on network theory to identify the most important journals related to a given journal, the seed journal. In just one simple network map, we get the relevant citation environment of a specific seed journal. It is of interest to librarians, publishers, scientists and science policy makers. These journal citation network maps are useful for these various stakeholders in and around the science system, as they provide information on the level of journal connections, unlike the more traditional structures such as the Journal Subject Categories, the classification system applied in the products of Thomson Reuters (Journal Citation Reports, Web of Science, etc.). These network maps show the closest relations journals can have, based on citation relations, suggesting influence relations between journals in such a way that traditional field boundaries are transcended.

2009

Abstract Visualizing the intellectual structure of scientific domains using co-cited units such as references or authors has become a routine for domain analysis. In previous studies, paper-reference matrices are usually transformed into reference-reference matrices to obtain co-citation relationships, which are then visualized in different representations, typically as node-link networks, to represent the intellectual structures of scientific domains.

2012

This text is based on a translation of a chapter in a handbook about network analysis (published in German) where we tried to make beginners familiar with some basic notions and recent developments of network analysis applied to bibliometric issues (Havemann and Scharnhorst 2010). We have added some recent references.

Information Processing & Management, 49(6), 1313-1325

Knowledge organization (KO) and bibliometrics have traditionally been seen as separate subfields of library and information science, but bibliometric techniques make it possible to identify candidate terms for thesauri and to organize knowledge by relating scientific papers and authors to each other and thereby indicating kinds of relatedness and semantic distance. It is therefore important to view bibliometric techniques as a family of approaches to KO in order to illustrate their relative strengths and weaknesses. The subfield of bibliometrics concerned with citation analysis forms a distinct approach to KO which is characterized by its social, historical and dynamic nature, its close dependence on scholarly literature and its explicit kind of literary warrant. The two main methods, co-citation analysis and bibliographic coupling represent different things and thus neither can be considered superior for all purposes. The main difference between traditional knowledge organization systems (KOSs) and maps based on citation analysis is that the first group represents intellectual KOSs, whereas the second represents social KOSs. For this reason bibliometric maps cannot be expected ever to be fully equivalent to scholarly taxonomies, but they are – along with other forms of KOSs – valuable tools for assisting users’ to orient themselves to the information ecology. Like other KOSs, citation-based maps cannot be neutral but will always be based on researchers’ decisions, which tend to favor certain interests and views at the expense of others.