Publications on Germanistics in the Scopus Database: A Science Mapping Study

It is aimed to reveal the current state in the field of Germanistics on a global scale in this study. In this direction, the Scopus database was searched for the publications in the field of Germanistics, and the publications related to the relevant literature between the years 2018-2022 were examined with bibliometric analysis. The vast majority of the publications included in the scope of the study are in the article type, and their language is mostly English. The data obtained were visualized with science mapping, which is one of the bibliometric analysis techniques. The VOSviewer program was employed for this. Among the science maps created using this program, there are network maps of the most productive country, keyword co-occurrence analysis, bibliographic coupling analyses of institutions and countries, author and reference co-citation analyses, and co-authorship analysis of countries. The maps were presented in the study’s findings section, and the bibliometric information and relationships in each of these maps were assessed separately

A citation-based map of concepts in invasion biology

Invasion biology has been quickly expanding in the last decades so that it is now metaphorically flooded with publications, concepts, and hypotheses. Among experts, there is no clear consensus about the relationships between invasion concepts, and almost no one seems to have a good overview of the literature anymore. Similar observations can be made for other research fields. Science needs new navigation tools so that researchers within and outside of a research field as well as science journalists, students, teachers, practitioners, policy-makers, and others interested in the field can more easily understand its key ideas. Such navigation tools could, for example, be maps of the major concepts and hypotheses of a research field. Applying a bibliometric method, we created such maps for invasion biology. We analysed research papers of the last two decades citing at least two of 35 common invasion hypotheses. Co-citation analysis yields four distinct clusters of hypotheses. These clusters can describe the main directions in invasion biology and explain basic driving forces behind biological invasions. The method we outline here for invasion biology can be easily applied for other research fields

Bibliometric mapping as a science policy and research management tool

Bibliometric maps of science are landscapes of scientific research fields created by quantitative analysis of bibliographic data. In such maps the 'cities' are, for instance, research topics. Topics with a strong cognitive relation are in each other's vicinity and topics with a weak relation are distant from each other. These maps have several domains of application. As a policy supportive tool they can be applied to overview the structure of a research field and to monitor its evolution. This book contributes to the development of this application of bibliometric maps.CWTSFSW - CWTS - Ou

Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology

Copyright © 2018 by Association for Information Science and Technology With the rapid explosion of information and the dramatic development of bibliometric techniques in the past decades, it becomes a challenge to comprehensively, extensively, and efficiently understand science maps. Aim-ing to explore in-depth insights from science maps and predict the dynamics of scientific activities, this paper, based on the co-occurrence statistics of terms derived from scientific documents, proposes a diffusion-based network analytic methodology to conduct the prediction study from two aspects: the research interest of scien-tific researchers and the evolutionary directions of scientific topics. A case study on academic articles down-loaded from three leading journals in the field of bibliometrics demonstrates the feasibility of the methodology. The future directions of bibliometrics are identified, such as the application of information technologies to tradi-tional bibliometric data, the interactions between bibliometrics and science, technology, and innovation policy issues, and individual-level bibliometrics. The results also provide recommendations as potential research inter-ests for a set of experts. The proposed method could be a toolkit to conduct forecasting studies for a given technological area or a given discipline, and a recommender system to assist academic researchers in identify-ing potential research interests and extended areas

Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT

Covid-19 represents the greatest challenge facing mankind today. In December 2019, several cases of pneumonia of unknown etiology were reported from China. This coronavirus infection subsequently identified as Covid-19 aroused worldwide concern. As a result, the scientific community has focused attention on Covid-19, as revealed by recent research reported in literature based on a holistic approach. In this regard, this study conducts a bibliometric analysis of coronavirus research in the literature with an emphasis on Covid-19 disease, using as a reference the publications in the Web of Science Core Collection from 1970 to 2020. This research analyzes 12,571 publications from 1970 to (April 18) 2020 by applying advanced bibliometric techniques in SciMAT bibliometric analysis software. The current research therefore provides a complete conceptual analysis of the main coronavirus types and strains in the literature by quantifying the main bibliometric performance indicators, identifying the main authors, organizations, countries, sources, and research areas, and evaluating the development of this field. Furthermore, a science map is constructed to understand the corresponding intellectual structure and main research lines (themes). SciMAT thereby offers a complete approach to the field and evaluates the main performance indicators related to coronavirus, with a focus on Covid-19. Finally, this research serves as a framework to strengthen existing research lines and develop new ones, establishing synergistic relationships that were not visible without the maps generated herein

An overview of sport entrepreneurship field: a bibliometric analysis of the articles published in the Web of Science

n the sport entrepreneurship field, bibliometric analysis and maps have not yet been used to analyze the production and to visualize the evolution and trends of this field. However, sport entrepreneurship is an emerging field of research where it is necessary to find methodological strategies for understanding the major research trends developing in this specific field. Therefore, the primary aim of this article is to perform a bibliometric analysis of sport entrepreneurship in the Web of Science Core CollectionTM. In total, 123 articles were published between 1968 and 2018 and written by 252 different authors from 189 institutions and 36 different countries. The evolution of these papers published by year, institution, country and journal was analyzed. Moreover, a co-occurrence analysis between authors, citations and keywords was performed, as was a thematic analysis. Finally, suggestions for future research to consolidate and develop this field with implications for researchers and policy makers are discussed

AN EXAMINATION OF THE STUDIES ON ARABIC LANGUAGE TEACHING (ALT): A BIBLIOMETRIC MAPPING ANALYSIS

This study aims to use the bibliometric analysis method to examine the scientific articles published between 2000-2022 in the field of Arabic Language Teaching (ALT) and to visualize the obtained data with visual mapping technique. The dataset consists of 861 educational research articles indexed in the “Web of Science” database and containing the terms Arabic teaching or Arabic learning or Arabic education. Content analysis and bibliometric analysis were used in the analysis of the data. In the research, the distribution of publications by language, years, countries, journals, organizations, publications and keywords were reached. In addition, the data obtained were presented by creating visual maps with common word analysis. The results showed that the most used keywords “Arabic”, “higher education”, “Arabic language” and “bilingualism”. Most of the web of science indexed studies in the field of Arabic Language Teaching (ALT) are from the USA and Israel. The journals that publish the most papers in the field of Arabic Language Teaching (ALT) are "Reading and Writing" and "Foreign Language Annals". This study provides a guide for new studies, to identify the trends in the field of Arabic teaching and to compare the existing research on the topic

Bibliometric Maps of BIM and BIM in Universities: A Comparative Analysis

Building Information Modeling (BIM) is increasingly important in the architecture and engineering fields, and especially in the field of sustainability through the study of energy. This study performs a bibliometric study analysis of BIM publications based on the Scopus database during the whole period from 2003 to 2018. The aim was to establish a comparison of bibliometric maps of the building information model and BIM in universities. The analyzed data included 4307 records produced by a total of 10,636 distinct authors from 314 institutions. Engineering and computer science were found to be the main scientific fields involved in BIM research. Architectural design are the central theme keywords, followed by information theory and construction industry. The final stage of the study focuses on the detection of clusters in which global research in this field is grouped. The main clusters found were those related to the BIM cycle, including construction management, documentation and analysis, architecture and design, construction/fabrication, and operation and maintenance (related to energy or sustainability). However, the clusters of the last phases such as demolition and renovation are not present, which indicates that this field suntil needs to be further developed and researched. With regard to the evolution of research, it has been observed how information technologies have been integrated over the entire spectrum of internet of things (IoT). A final key factor in the implementation of the BIM is its inclusion in the curriculum of technical careers related to areas of construction such as civil engineering or architecture

A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS

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