scholarly journals THE NORTHERN SEA ROUTE: A SCIENTOMETRIC ANALYSIS OF INFORMATION ARRAYS IN WEB OF SCIENCE AND SCOPUS DATABASES

2021 ◽  
Vol 11 (1) ◽  
pp. 77-86
Author(s):  
Valentina V. Rykova
Keyword(s):  
Web Of Science ◽  
Publication Activity ◽  
Scientometric Analysis ◽  
Urgent Problem ◽  
International Database ◽  
Main Research ◽  
Research Fields ◽  
Northern Sea Route ◽  
Analytical Tools ◽  
Practical Implications

The article traces main trends of the scientific research development on the Northern Sea Route using the international database Web of Science by Clarivate Analytics and Scopus by Elsevier. Using a scientometric analysis and analytical tools of DBs, the author shows countries, institutions and organizations that study this problem, as well as funds financing them; names productive periodicals and authors with high publication activity. In conclusion, the author notes that the study of the Northern sea Route development is an urgent problem for the entire world society, not only for the northern countries. Objective – to carry on a scientometric analysis of information arrays (IA) in the international scientific citation indices devoted to studying the Northern Sea Route development. Methods: scientometric analysis. Results: countries, institutions and organizations that study this problem are represented, as well as funds financing them; productive periodicals and authors with high publication activity are designated; the main research fields are revealed. Practical implications: the study should be used as an information base for further research of scientists and specialists on various aspects of the Northern Sea Route development.

scholarly journals A Scientometric Analysis of Worldwide Intercropping Research Based on Web of Science Database between 1992 and 2020

2021 ◽  
Vol 13 (5) ◽  
pp. 2430
Author(s):  
Wen Lv ◽  
Xining Zhao ◽  
Pute Wu ◽  
Jialong Lv ◽  
Hailong He
Keyword(s):  
Web Of Science ◽  
Agroforestry Systems ◽  
Future Research ◽  
Scientometric Analysis ◽  
Main Research ◽  
Research Status ◽  
The Past ◽  
The Usa ◽  
Number Of Citations ◽  
India And China

Intercropping has been practiced worldwide in both traditional and sustainable agriculture to feed the growing population. This study aims to analyze the research status and evolution of intercropping, to identify the influential authors, research centers, and articles, and to reveal the main research topics between 1992 and 2020 based on the Web of Science Core Collection database. The results show that the volume of publications in this field has increased rapidly over the past three decades. The analysis identifies the top three authors (i.e., Meine Van Noordwijk, Wenyu Yang, and Teja Tscharntke), top three contributing organizations (i.e., the World Agroforestry Center (ICRAF), the Chinese Academy of Science, and the INRA), and three most productive countries (i.e., the USA, India, and China). Co-occurrence analysis demonstrates that studies on intercropping can be divided into four clusters as centered by keywords of intercropping/maize, biodiversity/conservation, agroforestry, and carbon, respectively. Lal 2004 is the most influential study with the greatest number of citations and Agroforestry Systems is the most utilized journal. Perspectives on future studies were also given. This study helps researchers to clarify the current research status in the field of intercropping and put forward its future research.

scholarly journals Academic Publication of Neurodegenerative Diseases From a Bibliographic Perspective: A Comparative Scientometric Analysis

2021 ◽  
Vol 13 ◽  
Author(s):  
Zhenxin Liao ◽  
Wei Wei ◽  
Mengling Yang ◽  
Xuyuan Kuang ◽  
Jian Shi
Keyword(s):  
United States ◽  
Neurodegenerative Diseases ◽  
Web Of Science ◽  
Citation Count ◽  
The United States ◽  
Scientometric Analysis ◽  
Main Research ◽  
Research Activities ◽  
The Impact ◽  
Tremendous Impact

Background: For measuring the impact in clinical and scientific research, the citation count of the articles is used in the bibliometric analysis, although there is no comprehensive summary of neurodegenerative disease research. This study intends to provide the neuroscientists and investigators with a practical reference guide to appraise the most important and influential articles written on this subject through a macroscopic view of the research activities on neurodegenerative diseases.Materials and Methods: The Clarivate Analytics Web of Science was searched in July 2020. To ensure the breadth of the search scope, the search terms were confirmed as “multiple sclerosis” (MS) or “amyotrophic lateral sclerosis” (ALS) or “Parkinson's” or “Alzheimer's” or “Huntington's” or “neurodegenerative.” After excluding completely unrelated articles, the top-cited articles were collected and evaluated from special characteristics. The data analysis was performed using SPSS 18.0. The articles were characterized by citation number, publication year, topic, study type, authorship, journal, country, and institute of responding author and foundation.Results: The query identified 593,050 articles. A total of 45% of the top-cited articles were published during 2000–2009, followed by 30 articles from 1990–1999. Diagnosis and pathology were the main research categories (n = 62). Alzheimer's disease (AD) was the main study topic (n = 43). Meanwhile, the United States confirmed the tremendous impact on the field of neurodegenerative diseases. Notably, 69 of 100 articles were studied in the United States, and the National Institutes of Health sponsored 49 articles. There were only 22 articles that can be divided by evidence level. No article was categorized as level 1 evidence. In the journal list with multiple articles, seven of 15 were general journals. The 58 authors, who contributed to more than one article, have been identified by VOSviewer, and the clusters of authors reveal the evolution of research focus in neurodegenerative diseases.Conclusions: This study analyzed the bibliometric characteristics and connections of 100 top-cited articles in the field of neurodegenerative diseases in the Web of Science. Their main outcomes were as follows: First, the pathology and diagnostic researches took a major role in top-cited articles while the therapy articles are relatively less. Second, the United States confirmed the tremendous impact on the field of neurodegenerative diseases. Third, researchers also submitted their researches to general journals, not just focused on specialty journals.

scholarly journals Uncovering 3D bioprinting research trends: A keyword network mapping analysis

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Leonardo Azael Garcia-Garcia ◽  
Marisela Rodriguez-Salvador
Keyword(s):  
Web Of Science ◽  
Scientific Progress ◽  
Scientometric Analysis ◽  
3D Bioprinting ◽  
Main Research ◽  
Technology Intelligence ◽  
Mapping Analysis ◽  
Cell Sources ◽  
Network Mapping ◽  
General Perspective

A scientometric analysis as part of a Competitive Technology Intelligence methodology was used to determine the main research efforts in 3D bioprinting. Papers from Scopus and Web of Science (WoS) published between 2000 and 2017 were analysed. A network map of the most frequently occurring keywords in these articles was created, and their average publication year (APY) was determined. The analysis focused on the most relevant keywords that occurred at least five times. A total of 1,759 keywords were obtained, and a co-occurrence analysis was developed for APYs with more keywords: 2011–2016. The results indicated that Polylactic Acid (PLA) is the material used most often. Applications mainly focused on bone tissue engineering and regeneration. The most frequently used technique was inkjet printing, and the main cell sources were Mesenchymal Stem Cells (MSC). From a general perspective, ‘Treatment’ and ‘Bioink’ were the most frequent keywords. The former was mainly related to cancer, regenerative medicine, and MSC and the latter, to multicellular spheroid deposition and the use of hydrogels like GelMA (gelatin methacryloyl). This analysis provides insights to stakeholders involved in 3D bioprinting research and development who need to keep abreast of scientific progress in the field.

scholarly journals Analysis of publication activity of the leading countries in the field of quantum technologies

2018 ◽  
Vol 84 (7) ◽  
pp. 67-76
Author(s):  
A. S. Mokhov ◽  
V. O. Tolcheev
Keyword(s):  
Web Of Science ◽  
Quantum Computer ◽  
General Characteristic ◽  
The United States ◽  
Wilcoxon Test ◽  
Publication Activity ◽  
Scientometric Analysis ◽  
The Usa ◽  
Number Of Publications ◽  
The Web

The publication activity of the leading countries in the field of quantum technologies (QT), which include quantum computers and simulators, quantum sensors, quantum data transmission, and quantum metrology is analyzed. A general characteristic of the subject domain and scientometric analysis is carried out using the research chops from the Web of Science database covering the period 2000 – 2016. The sample of bibliographic publications is used to (i) estimate the growth rate of publications on QT in the leading countries (for the indicated period of time), (ii) identify the leading states in the number of publications (on the above-mentioned main directions of QT development), and (iii) determine the publication activity of Russia and the intensity of international cooperation. The results of the research demonstrated, that the USA and China are the leading countries in the field of quantum technologies. Regression dependences are constructed which provide forecasting and description of the functions reflecting the increasing number of publications in aforementioned countries. Using the criterion of signs and the Wilcoxon test for coupled pairs of observations, the hypothesis of significant differences in the publication activity of the United States and China was tested. Both tests at the level of significance α = 0.05 did not reveal significant discrepancies between the number of articles in the US and China on the twelve topics of the Web of Science database. At the same time, a significant advantage of American scientists in the number of publications in the field of quantum computations and creation of a universal quantum computer has been revealed. The primacy in this area is the main condition of «quantum» domination, which implies a significant acceleration of calculations, primarily, decryption of most of the algorithms used to protect information.

Scientometric and patent researchof technological directions in the field of protection and restoration of land ecosystems using “Web of science” and “Derwent innovation” platforms

2021 ◽  
pp. 62-72
Author(s):  
N. V. Berezniak ◽  
N. I. Shabranska
Keyword(s):  
Web Of Science ◽  
Terrestrial Ecosystems ◽  
Publication Activity ◽  
High Rate ◽  
Scientometric Analysis ◽  
Patent Activity ◽  
Patent Classification ◽  
The World ◽  
International Data ◽  
Number Of Citations

The results of scientometric and patent research aime date stablishing the most promising technological trends for making forecasts for 2021–2030 are described. The study is focused on the achievement of Ukraine’s Sustainable Development Goal 15 “Protection and restoration of terrestrial ecosystems”. There search was conducted using the international platforms “Web of Science” (WoS) and “Derwent Innovation”. The period under study is 2011–2019. The results of a scientometric analysis of world and domestic publication activity, as well as the dynamics of citations for a selected array of publications are presented. The publication activity of the countries of the world and Ukraine, as well as of world and domestic companies, institutions, higher educational institutions, carrying out scientific and technical activities, has been established. The analysis of the dynamics of citations and determination of the growth rate of the number of citations (2019/2015, %) by key words / technological areas, which belong to the global technological trends in the field of protection and restoration of terrestrial ecosystems, were carried out. The top-10 technological are as that are the most promising for predictive research have been identified. The results of the analysis of the dynamics and rates of patenting in the world and in Ukraine in this area are presented. The analysis was carried out on the basis of the codes of the International Patent Classification using the international data base “Derwent Innovation”. The patent activity of the main countries of the world and Ukraine, as well as leading world and domestic patent holders, has been established. The patent research was carried out on keywords / technology areas that relate to global technology trends in the named area. The analysis of the dynamics and rates of patenting (2019/2015, %) was carried out. A selection of technological areas with a high rate of patent activity and placement of landscape maps on blue and green zones was carried out. To conduct predictive studies, the most promising, promising and mid-promising technological directions in the field of protection and restoration of terrestrial ecosystems have been identified.

Artificial intelligence and creative activities inside organizational behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrea Paesano
Keyword(s):  
Artificial Intelligence ◽  
Organizational Behavior ◽  
Web Of Science ◽  
Single Case ◽  
Harvard Business Review ◽  
Negative Externalities ◽  
Content Type ◽  
Research Fields ◽  
Practical Implications

Purpose This study aims to investigate about the use of artificial intelligence (AI) (man machine relationship) regarding organizational behavior. The aim of this research paper is to analyze whether the current AI is used also to replace man in “creative” activities. Design/methodology/approach This study is based on a qualitative and explorative approach. It is made a review of the literature with “Scopus” and “Web of Science” databases. The research fields are AI, organizational behavior, man-machine relationship and creativity. Findings Analyzing whether the intensive use of AI in organizational behavior can replace human work in creative activities. Research limitations/implications The connection of AI with creative activities within the organization is only just beginning. For this reason, other sources, like Harvard Business Review, public reports and professional papers found on the internet have been considered. The most important limitation of this paper is that all the results presented here do not concern a single case study. Practical implications In this paper, there are some examples that can show the use of AI in creative activities; however, this does not complete the situation facing companies in any sector because the AI technologies used within enterprises are constantly evolving. It is possible to continue to do research in this field. Originality/value The paper is meaningful because highlights the development of AI toward creative activities typically of human resources. It is also interesting because it analyzes the exploratory use of AI in increasingly human work, generating positive and negative externalities.

scholarly journals The intersection between business model and modularity: an overview of the literature

2019 ◽  
Vol 16 (3) ◽  
pp. 387-397
Author(s):  
Diego Honorato Clemente ◽  
Juliana Hsuan ◽  
Marly Monteiro De Carvalho
Keyword(s):  
Bibliometric Analysis ◽  
Business Model ◽  
Design Methodology ◽  
Business Models ◽  
Web Of Science ◽  
Main Research ◽  
Qualitative Approaches ◽  
Recent Developments ◽  
Multiple Domains ◽  
Practical Implications

Goal: To analyse the intersection between the constructs of modularity and business model in the literature. Design/Methodology/Approach: Quantitative and Qualitative approaches were utilized through bibliometric analysis and systematic literature review. A bibliometric analysis incorporates keywords, co-citation, and country co-authorship networks generated using VosViewer Software. The research in the databases was carried out in June 2018. Results: The intersection of modularity and business model is a rather recent study topic in the literature with a small number of articles published up to 2018. Although the concept of modularity has been widely discussed in terms of product, process and organizational levels, recent developments point to the application of this concept to services and business models. Limitations: The main limitation refers to the sampling process that incorporated articles extracted from ISI Web of Science Core Collection only. Practical implications: For practice, it provides companies with insights on how business model and modularity may be applied to multiple domains and can eventually contribute to firm performance and business model innovation. Originality/Value: The originality of the article lies in providing a panorama of the literature on the intersection of business model and modularity in order to identify the main research trends.

Scientific metric analysis of the prospectivity of scientific and technological directions to limit greenhouse gas emissions

2020 ◽  
pp. 44-53
Author(s):  
O.F. Paladchenko ◽  
I.V. Molchanova
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Web Of Science ◽  
Scientometric Analysis ◽  
International Database ◽  
Strategic Development ◽  
Gas Emissions ◽  
Metric Analysis ◽  
National Task ◽  
Thematic Area

The article is devoted to the study of the prospects of scientific and technological areas for limiting greenhouse gas emissions using scientometric analysis based on publications in the international database Web of Science and patents in the international database Derwent Innovation in the thematic area “Air”. The aim of the study is to identify potentially the most promising technologies for limiting greenhouse gas emissions and the possible use of such technologies to achieve the Strategic Development Goal 13 by implementing National Task 13.1 “Limit greenhouse gas emissions in the economy”. The results of scientometric analysis of the international database of Web of Science publications and the database of patents Derwent Innovation in the thematic area of “Air” on potentially the most promising scientific and technological areas are presented. There are also proposed the results of a comparative analysis of generalized and specified potentially promising technological areas for limiting greenhouse gas emissions. It is concluded that the results of scientometric analysis of the Web of Science publication database and the Derwent Innovation patent database made it possible to identify technological directions for reducing greenhouse gas emissions, which are potentially the most promising for achieving SDG 13 by implementing national task 13.1 “Limit greenhouse gas emissions in the economy”

scholarly journals Plant flow cytometry: a scientometric analysis of documentary arrays from Scopus and Web of Science databases

2020 ◽  
Vol 24 ◽  
pp. 00070
Author(s):  
Valentina Rykova ◽  
Maria Voronkova
Keyword(s):  
Flow Cytometry ◽  
Web Of Science ◽  
Publication Activity ◽  
Scientometric Analysis ◽  
Thematic Structure ◽  
World Science ◽  
Active Growth ◽  
The World ◽  
Citation Databases ◽  
Highly Cited

The article presents a scientometric analysis of documentary arrays selected of the world science citation databases Scopus and Web of Science on the topic “Plant flow cytometry”. The analysis of documentary arrays shows their positive dynamics and especially active growth currently. It names countries and organizations actively carrying on research in the area, and leading in the publication amount; rating journals with high publication activity, authors who work productively on the topic. The paper reveals thematic structure of the studied corpus of documents and highly cited publications.

Journals’ hidden self-citation as the problem of publication ethics

2020 ◽  
Author(s):  
Nikolay Mazov ◽  
◽  
Vadim Gureyev ◽  
◽  
◽  
...  
Keyword(s):  
Science Citation Index ◽  
Web Of Science ◽  
Citation Index ◽  
Editorial Staff ◽  
Publication Activity ◽  
Publication Ethics ◽  
Russian Science ◽  
Russian Science Citation Index ◽  
Library Studies ◽  
First Time

Twenty two science Russian periodicals in informatics and library studies are selected for the bibliometrical analysis of key journal indicators, including publication activity of the same journals’ editorial staff. For the first time for domestic journals, the study reveals hidden self-citation when editorial members include links to their journal from other publications. The available instruments of scientometrical databases, including Web of Science and Scopus, and the national system Russian Science Citation Index do not enable to identify this form of self-citation. The mentioned manipulations are aimed at boosting journal rating. In several cases, intensive and unjustified citation by journals’ editorial staff in other periodicals which we consider the violation of publication ethical principles, is revealed.

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