scholarly journals Some scientific publications of BPKIHS: a bibliometric study of articles listed in the Web of Science

2012 ◽  
Vol 10 (2) ◽  
pp. 139-143
Author(s):  
S Risal ◽  
H N Prasad
Keyword(s):  
Citation Analysis ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Productivity ◽  
Health Sciences ◽  
Academic Institution ◽  
Scientific Publications ◽  
Number Of Publications ◽  
The Web

Scientific productivity of any academic institution is expressed by the total number of publications generated by its academic faculties and the use of the publication by scientific community. Citation analysis is done to evaluate the use of the publications. Use of the publication can be studied with the help of bibliometric analysis. Counting publication, publications trends, authorship patterns and citation analysis are parts of bibliometric analysis. Web of Science is one of the best databases which allow the study in the use of the publications through citation analysis. In this article, scientific articles produced by the faculties and other international affiliated faculties of BP Koirala Institute of Health Sciences have been studied. Citation analysis of scientific publications of BP Koirala Institute of Health Sciences is done with the help of the Web of Science, a product of Thomason Reuters.DOI: http://dx.doi.org/10.3126/hren.v10i2.6584 Health Renaissance 2012; Vol 10 (No.2); 139-143 

scholarly journals Bibliometric analysis of Russian publications’ quality in physical area, included to the Web of Science Core Collection Data Base

Bibliosphere ◽  
2020 ◽  
pp. 49-60
Author(s):  
A. V. Glushanovskiy
Keyword(s):  
Bibliometric Analysis ◽  
Core Collection ◽  
Web Of Science ◽  
Point Of View ◽  
Lower Percentage ◽  
Research Level ◽  
Collection Data ◽  
The Russian Federation ◽  
Number Of Publications ◽  
The Web

The article analyzes the changes in the bibliometric characteristics of the array of Russian publications reflected in the Web of Science Core Collection (WoS CC database) in the field of physics in 2018, compared to the same characteristics in 2010. The main parameter to assess the quality (research level) of arrays with bibliometric point of view was “Comprehensive index of quality” (CIQ) for the array of publications, calculated on the basis of one of the parameters in “Method for calculating the qualitative indicator of the state task “the Comprehensive performance score publication”...”, used by the Ministry of science and higher education of the Russian Federation. It was found that with an almost twofold increase in the volume of the array, there was a slight decrease in its quality in terms of CIQ in 2018 in comparison with 2010. The author also compared the characteristics of the array of Russian publications in 2018 with similar ones of the arrays on physical publications in Germany, India and Great Britain, located close to Russia in the ranking by the number of publications included in the WoS array (in this ranking, Russia was on the fourth place in 2018). In the ranking based on the CIQ indicator, the arrays of these countries are significantly ahead of the Russian one, and our country is only on the sixth place. The main reasons for this lag in the Russian publications array are identified. They are: a lower percentage of Russian publications in high-quartile journals and a greater number of publications from conference proceedings. The conclusion is made about the applicability of bibliometric analysis to identify trends in publishing activities in the scientific field.

scholarly journals Research Status Quo in Traditional Mongolian Medicine: A Bibliometric Analysis on Research Documents in the Web of Science Database

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Tae-Hun Kim ◽  
Jung Won Kang
Keyword(s):  
Bibliometric Analysis ◽  
Inner Mongolia ◽  
Web Of Science ◽  
R Package ◽  
Tibetan Medicine ◽  
Scientific Publications ◽  
National University ◽  
State Of Research ◽  
Traditional Mongolian Medicine ◽  
The Web

Objective. In this study, the current state of research on traditional Mongolian medicine (TMM) through a bibliometric analysis of research documents located in the Web of Science (WoS) database was assessed. Methods. The WoS database was searched on September 2021 with the keywords “traditional Mongolian medicine.” Publications on TMM scientific research were included in this study, without any language limitations. Bibliometric data from such publications were retrieved from the WoS database. Full records with cited reference lists were descriptively analyzed. To assess trends in TMM research topics, authors’ keywords were analyzed. A thematic evolution map based on coword analysis was suggested. To analyze research networks among co-authors, affiliations, or countries of the authors, collaboration networks were evaluated. The Bibliometrix R package (3.1) was used for the analysis. Results. A total of 234 scientific publications were included in the analysis. The top three countries of origin of the corresponding authors were China (n = 153), Japan (n = 28), and South Korea (n = 9). The top three relevant affiliations of the authors in the included publications were “Inner Mongolia Medical University,” “Inner Mongolia University of Nationalities,” and “National University of Mongolia.” “Flavonoids,” “cytotoxicity,” “NMR,” and “Tibetan medicine” were the most frequently used keywords in the included documents. Most publications focused on the chemical analysis and mechanism of effects of Mongolian herbal medications. There were few publications on nonpharmacological interventions such as bloodletting or TMM diagnostics, which should be promoted in future publications. Conclusion. There were only a limited number of publications on TMM identified through a search of the WoS database, using the keywords “Traditional Mongolian medicine.” More improved strategy for searching for TMM publications must be established. Research publications on TMM, especially regarding nonpharmacological interventions, need to be promoted. In addition, collaboration with researchers worldwide needs to be encouraged in the future.

scholarly journals The Enterprise's Integrated Reporting: Bibliometric Analysis

2021 ◽  
pp. 5-10
Author(s):  
Vasyl Hayk ◽  
Keyword(s):  
Bibliometric Analysis ◽  
Information Disclosure ◽  
Web Of Science ◽  
Scientific Development ◽  
Integrated Reporting ◽  
Scientific Publications ◽  
Scientific Schools ◽  
Number Of Publications ◽  
New Research ◽  
Selection Of

The development of approaches to understanding integrated reporting and the identification of the scientific landscape in this area are becoming increasingly important, as the requirements and requests for information from stakeholders are constantly growing. The article contains a bibliometric content analysis of scientific publications on the topic of integrated reporting. The selection of information for bibliometric analysis was carried out in the two most authoritative scientometric databases Scopus and Web of Science on the keyword “integrated reporting” (integrated reporting) during the period 1990-2020. The study identified 308 and 393 publications in the Scopus and Web of Science databases, respectively. It was established that the databases from the total number of publications are dominated by articles 213 (69.2 %) and 300 (66.1 %), respectively. The interest among scientists on this topic is growing, as the number of publications has been increasing in recent years. Since 2014, there has been a sharp increase in published works on this topic. This is primarily due to the fact that in 2014, at the plenary session of the XIX World Congress of Accountants, the International Council on Integrated Reporting approved the gradual adoption of the International Framework for Integrated Reporting over the next three years, which sparked public debate. The using of VOSviewer software allowed to build and visualize bibliometric maps. The bibliometric maps made it possible to identify the most commonly used keywords (reporting, integrated report, information disclosure) and authors in the studied articles (W. Maroun, C. De Villiers, J. Dumay), which form individual scientific schools. This study reflects trends in integrated reporting and provides scientists with guidance for further scientific development. In particular, this study helps create a conceptual framework, provides a source for scientists to conduct new research by assessing gaps, and provides opportunities for comparison and analysis.

scholarly journals Mapping the Literature on Financial Behavior: a Bibliometric Analysis Using the VOSviewer Program

2022 ◽  
Vol 19 ◽  
pp. 231-246
Author(s):  
Maksym Dubyna ◽  
Olha Popelo ◽  
Nataliia Kholiavko ◽  
Artur Zhavoronok ◽  
Maiia Fedyshyn ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Financial Services ◽  
Web Of Science ◽  
Data Retrieval ◽  
Financial Behavior ◽  
Scientific Publications ◽  
Economic Agents ◽  
Current State ◽  
Financial Behaviour ◽  
Number Of Publications

Objective of the article is to study the current state of researches of financial behaviour. The article is conceptual and based on the use of the methodology of the bibliometric analysis. The analysis is based on the data retrieval functionalities of Scopus and Web of Science platforms. Is used the toolkit of the VOSviewer program, network visualization of keywords in scientific publications. Findings: The number of publications that directly study the nature and features of the financial behavior formation of various economic agents is insignificant, but is constantly growing. An important role in this process is played by digitalization processes of financial services, which have an important impact on the models transformation of both financial behavior of economic agents, and changes in the model of the financial services provision to customers by financial institutions.

scholarly journals Technology and Higher Education: A Bibliometric Analysis

2019 ◽  
Vol 9 (3) ◽  
pp. 169 ◽  
Author(s):  
Carmen Rodríguez Jiménez ◽  
Mariano Sanz Prieto ◽  
Santiago Alonso García
Keyword(s):  
Higher Education ◽  
Educational Technology ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Production ◽  
Bibliometric Study ◽  
Technology In Education ◽  
The Web

Technology in education is one of the current realities that generates most interest. The objective of this research is to analyze the scientific production of educational technology in the higher education stage, within the Web of Science database. To carry out this study, a bibliometric study was conducted, which first established the keywords that would govern the rest of the research and continued with the analysis of different variables that addressed different features, from the origin of the archives to the authors or the most prolific and relevant institutions in the scientific community. The results indicate that there has been a significant increase in publications on this subject in recent years, and as evident from the current peak, this is a growing trend that will lead to more research in the coming years.

scholarly journals The International Tax Competitiveness: Bibliometric Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 126-138
Author(s):  
Oleksiy Mazurenko ◽  
Inna Tiutiunyk
Keyword(s):  
Bibliometric Analysis ◽  
Environmental Science ◽  
Web Of Science ◽  
Geographical Area ◽  
Research Management ◽  
Scientific Publications ◽  
Average Growth ◽  
Scopus Database ◽  
International Tax ◽  
The Web

This paper summarizes the arguments and counterarguments within the scientific discussion on the generalization of the main vectors of the tax competitiveness theory’s development. The main purpose of the article is to analyze and systematize the research of scientists on the formation of tax competitiveness of the country, to identify the relationship of tax competitiveness with other economic categories, to determine the most promising areas of research on this issue. The results of trend analysis of scientific publications on tax competitiveness, indexed by Scopus and Web of Science scientometric databases, show a gradual increase in the relevance of these issues. The average growth rate of the number of publications on tax competitiveness in the Scopus database exceeds 12%, and in the Web of Science database – 45%. The methodological tools of the bibliometric analysis are VOSViewer v.1.6.10 and Scopus and Web of Science database analysis tools. The object of analysis is 4,598 publications indexed in the Web of Science database and 4,898 publications indexed in the Scopus database. The issues of international tax competitiveness became most relevant in 2003-2005, which coincided with the period of aggravation of the global economic crisis, which was accompanied by a significant reduction in tax revenues to budgets. The article identifies the top 10 Journals, most of which are indexed simultaneously by two databases and are part of the first quarter, in which the issue of tax competitiveness was considered most often. The study empirically confirms and theoretically proves the intersectoral nature of the study of the problem of the country’s tax competitiveness. According to the Web of Science database, issues of tax competitiveness were most often considered within the subject areas of Economics (39% of publications); Business Finance (6%); Environmental Studies (6%); Political Science (5%); Law (4%); Urban Studies (3%); Business (3%); Management (3%); Environmental Sciences (2%); Public Administration (2%); Regional Urban Planning (2%); International Relations (2%); Operations Research Management Science 2%) and others (21%), while according to the Scopus database – Economics, Econometrics and Finance (published 28% of all papers); Social Sciences (21%); Business, Management and Accounting (13%); Engineering (7%); Environmental Science (7%); Medicine (5%); Energy (4%); Computer Science (2%); Arts and Humanities (2%); Decision Sciences (2%); Earth and Planetary Sciences (1%); Materials Science (1%); Agricultural and Biological Sciences (1%); Others (6%). The paper clusters international research networks on tax competitiveness by geographical area and identifies 5 clusters of cooperation of scientists in the preparation of publications indexed in the Web of Science database and 4 clusters – in the preparation of publications indexed in the Scopus database. According to the results of the analysis of metadata of publications devoted to the tax competitiveness, 14672 keywords, the frequency of use of which exceeds 5, were identified and grouped into 5 patterns. Most often, the concept of tax competitiveness is associated with the concepts of tax, economics, competition, costs, taxation.

scholarly journals A brief bibliometric analysis of Web of Science publications on “Carbon” topic for 2019–2020

2021 ◽  
pp. 76-100
Author(s):  
B.N. Chigarev
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Materials Science ◽  
The United States ◽  
Carbon Quantum Dots ◽  
Hydrogen Energy ◽  
Scientific Publications ◽  
Science System ◽  
Production Of Hydrogen ◽  
The Web

A brief bibliometric analysis of 5,000 most cited scientific publications presented in the Web of Science database on the “Carbon” topic for 2019–2020 is done. It is shown that the world’s leading scientific centers of China, the United States, India, South Korea, Japan and Germany, as well as the Russian Academy of Sciences are involved in research on this topic. The following areas of scientific research were dominant: materials science, physical chemistry, nanotechnology, engineering chemistry, applied physics, energy, electrochemistry, ecology, condensed matter physics. The clustering method based on the co-occurrence of the Author Keywords and the Keywords Plus of the Web of Science system revealed six areas of research: 1. catalysis, hydrogen production, carbon materials doped with nitrogen; 2. graphite/graphene-based energy storage systems; 3. sensors and emissions based on carbon quantum dots; 4. nanocomposites and their physical properties; 5. energy consumption and climate change; 6. adsorption and organic pollutants. The author assumes the high potential of research on the co-production of hydrogen and graphite, which may combine the interests of hydrogen energy development and production of new materials.

scholarly journals Bibliometric analysis about Economics approach to Bitcoins

Exacta ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 37-52
Author(s):  
Carla Cristiane Sokulski ◽  
Rafael Vignoli de Moura ◽  
Gustavo Tadra Waldmann ◽  
Antonio Carlos de Francisco ◽  
Gustavo Dambiski Gomes de Carvalho
Keyword(s):  
Network Analysis ◽  
Impact Factor ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Descriptive Statistics ◽  
Wide Field ◽  
The Subject ◽  
Number Of Publications ◽  
The University ◽  
The Web

The objective of this article is to identify the main characteristics of scientific research regarding the approach economic about bitcoins. This study is based on bibliometric research and network analysis, with the use of descriptive statistics in 84 articles found on the Web of Science database.  The analysis used the programs VOSviewer and Excel. The main results show that Bouri, Bouoiyour, Dyhrberg and Selmi are the authors who published most articles and that the Université de Pau (France) and the University College Dublin (Ireland) are the institutions with most publications. The journal with most publications is Plos One, which presented a 3.057 impact factor. There are only three co-authoring networks with greater expressiveness, however, there are no links between them and the others. Despite the growing number of publications on the subject, the researchs is beginning, showing a wide field of exploration.

scholarly journals Insights from a Bibliometric Analysis of Vividness and Its Links with Consciousness and Mental Imagery

2020 ◽  
Vol 10 (1) ◽  
pp. 41 ◽  
Author(s):  
Stefanie Haustein ◽  
André Vellino ◽  
Amedeo D’Angiulli
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Bibliometric Analysis ◽  
Mental Imagery ◽  
Growth Rates ◽  
Web Of Science ◽  
Evidence Based ◽  
Number Of Publications ◽  
Published Research ◽  
The Web

We performed a bibliometric analysis of the peer-reviewed literature on vividness between 1900 and 2019 indexed by the Web of Science and compared it with the same analysis of publications on consciousness and mental imagery. While we observed a similarity between the citation growth rates for publications about each of these three subjects, our analysis shows that these concepts rarely overlap (co-occur) in the literature, revealing a surprising paucity of research about these concepts taken together. A disciplinary analysis shows that the field of Psychology dominates the topic of vividness, even though the total number of publications containing that term is small and the concept occurs in several other disciplines such as Computer Science and Artificial Intelligence. The present findings suggest that without a coherent unitary framework for the use of vividness in research, important opportunities for advancing the field might be missed. In contrast, we suggest that an evidence-based framework (such as the bibliometric analytic methods as exemplified here) will help to guide research from all disciplines that are concerned with vividness and help to resolve the challenge of epistemic incommensurability amongst published research in multidisciplinary fields.

scholarly journals APPLICATION OF DEEP LEARNING

2021 ◽  
Vol 7 (1) ◽  
pp. 39-51
Author(s):  
Kristian Đokić ◽  
◽  
Hrvoje Mikolčević ◽  
Ivica Šnajder ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Web Of Science ◽  
Scientific Publications ◽  
The Third ◽  
Cooperation Rate ◽  
Number Of Publications ◽  
Citation Databases ◽  
The Web ◽  
Number Of Authors

In the last decade, there has been a significant increase in the number of papers related to machine learning and the application of machine learning in various fields of science. Belmonte et al. observed that between 2010 and 2018, the growth in the number of papers related to machine learning topics and big data was exponential. They analysed 4240 scientific publications from the Web of Science citation database [1]. Xu et al., in the analysis of publications in the International Journal of Machine Learning and Cybernetics, noted that from 2010 to 2017, the number of publications, the cooperation rate, the total number of authors, and the degree of cooperation had shown an increasing trend [2]. Dokic et al. analysed the publication of papers in which deep learning is applied in the field of agriculture and noticed that the first papers were published in 2014, and in the second half of the second decade of the 21st century, exponential growth in the number of published papers was observed [3]. The objectives of this paper are primarily to analyze the literature related to the application of deep learning in apple growing, to propose the division of these papers depending on the area, and to analyze the observed trends in publishing papers related to this topic. In the analysis, only papers published in scientific journals were considered, and the condition is that they be found in the citation databases of the Web of Science or Scopus. The second section gives a brief overview of deep learning and its development and a presentation of the importance of apple growing in agriculture. The third section is an overview of papers that use deep learning methods and solve some problems in growing apples. The third section is divided into four parts, depending on the area the paper deals with. The fourth section is a discussion and conclusion.

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