scholarly journals Field classification in Dimensions

2019 ◽  
Vol 2 (3) ◽  
pp. 145-153
Author(s):  
Davor Jokić
Keyword(s):  
Classification System ◽  
Web Of Science ◽  
Materials Science ◽  
Field Evaluation ◽  
Point Of View ◽  
Research Fields ◽  
Novel Approach ◽  
Starting Point ◽  
Textile Technology ◽  
The Web

Given the latest research on Dimensions classification, this article discusses the novelty of such classification in the field of textile technology from the standpoint of Croatian scientific career advancement system. New machine learning article based classification system is compared to a traditional journal based classification system brought by the Web of Science and Scopus in terms of evaluation significance. The starting point of assigned category comparison were 13 journals indexed in the Web of Science in just one common category - Materials science, Textiles. Since Scopus does not have a unique category for the textile technology a list of 11 assigned categories was put in the comparison. Lastly, 58 research fields assigned to the articles published in mentioned journals indexed in Dimensions were analyzed for validity. Results show that the unique category of Textiles in Web of Science fully fits the field of textile technology from Croatian point of view. Scopus model with multi category assignment is not so reliable and useful in field evaluation. Lastly, Dimensions with its novel approach failed to validly classify indexed publications.

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 Spatial Analysis for Landscape Changes: A Bibliometric Review

2021 ◽  
Vol 11 (21) ◽  
pp. 10078
Author(s):  
Maria Danese ◽  
Dario Gioia
Keyword(s):  
Spatial Analysis ◽  
Web Of Science ◽  
Research Topic ◽  
Point Of View ◽  
Research Trend ◽  
Landscape Changes ◽  
Bibliometric Review ◽  
Number Of Citations ◽  
The Web

The main aim of this study is to analyze from a bibliometric point of view the research trend in spatial analysis for landscape changes using the records published in the Web of Science database in the last twenty years. Several parameters such as documents published per year, sources of documents, number of citations as well as VOSviewer software and GIS are used for the analysis of different metrics such as the number of citations, co-authorship network, and keyword occurrences. Analysis of the number of papers, their keywords, and authorships countries shows the research trend in the specific topics of the spatial analysis for landscape changes and consequently can constitute a benchmark for researchers who approach this research topic.

scholarly journals Estudos métricos da informação em ciência e tecnologia no Brasil realizados sobre a unidade de análise artigos de periódicos │ Metrical studies on science and technology information in Brazil having the scientific article as unit of analysis

2013 ◽  
Vol 9 (1) ◽  
Author(s):  
Suzana Mueller
Keyword(s):  
Information Science ◽  
Web Of Science ◽  
Science And Technology ◽  
Point Of View ◽  
Scientific Article ◽  
Data Bases ◽  
Unit Of Analysis ◽  
National Information ◽  
Use Of Knowledge ◽  
The Web

Resumo Levantamento de estudos métricos realizados sobre a unidade de análise artigo de periódico, com intenção de introduzir e comentar o estado atual da prática desses estudos no Brasil. Foram selecionados 54 estudos métricos cujos dados são oriundos de artigos científicos publicados em periódicos referendados brasileiros, com data de publicação 2011 e 2012, identificados em quatro fontes: Anais do EBBC 2012[1] e Anais do Enancib GT-7 2012, base ABDCM[2] e Scielo Brasil. As variáveis analisadas foram: tema e contexto, objetivos bibliométricos, aspectos medidos, anos cobertos pelo estudo, número de registros examinados, base de dados utilizada. Resultados mostram que o conjunto de estudos examinados privilegiaram estudos aplicados voltados para a descrição de produção de documentos em áreas específicas e descrição de características dessas literaturas. Em menor número, alguns estudos focalizaram pesquisadores, descrevendo como se associam para produzir conhecimento e como fazem uso da literatura por meio das citações. Os trabalhos examinados se valeram de diversas bases de dados, muitas vezes mais de uma base, sendo mais frequente a Web of Science, mas também foi notada a presença de nove bases nacionais e uma sul-americana. Os dados relacionados aos anos de cobertura mostram que no conjunto examinado, estudos de longo alcance são mais raros, a maioria cobrindo até 12 anos, geralmente recentes. O texto termina com algumas reflexões sobre estudos métricos sobre ciência e tecnologia no Brasil.Palavras chave Estudos métricos no Brasil, Informação em ciência e tecnologia, estudos métricos.Abstract Survey of metrical studies using articles as the unit of analysis. The intention is to of introduce and comment on the present practice of such studies in Brazil. Fifty four studies were selected, published in 2011 and 2012. Data were collected in four sources: Annals of the EBBC 2012, Annals of the Enancib 2012/GT-7 2012; ABDCM, a Brazilian data base comprising national Information Science periodicals and Scielo-BR. Variables considered were: theme and context; objectives from a bibliometric point of view; aspects measured; number of years examined; number of registers examined; data bases consulted. Results show that the studies examined were mostly applied studies describing the production of documents in specific areas of knowledge and the description of that literature. In lesser quantity, there were studies focusing on authors, their production and forms of collaboration (co-authorship and social networkss) to produce knowledge, and their use of knowledge by way of citations. Several databases were used by these studies, such as the Web of Science and Scopus, but also Brazilian bases. Studies covered different spans of time, mostly up to 12 years, all relatively recent.Keywords Metrical studies in Brazil, Information in science and technology, metrical studies.

scholarly journals Current Research Trends on Interrelationships of Eco-Innovation and Internationalisation: A Bibliometric Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 85
Author(s):  
Paulius Šūmakaris ◽  
Deniss Ščeulovs ◽  
Renata Korsakienė
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Scientific Literature ◽  
Business Environment ◽  
Research Trends ◽  
General Overview ◽  
Research Fields ◽  
The Web

In this paper, bibliometric analysis is conducted on eco-innovation and internationalisation, since in the scientific literature, both research fields have been considered as being interrelated. Although the adoption of eco-innovation and internationalisation are risky processes, they reduce competitive risk and increase performance in a highly competitive business environment. The main objective of this study is to identify current research trends on the interrelationships of eco-innovations and internationalisation as well as the main areas of knowledge and to provide a general overview of research streams that can be classified using by papers, authors and journals found in the Web of Science database. In total, 1677 publications published between 1991 and 2020 related to eco-innovations and internationalisation were taken into consideration. For the visualisation of bibliographic material, VOSviewer software was used. These findings provide valuable insights by revealing the trends and highlighting the possible research streams for future investigations in the field of eco-innovations and internationalisation research.

Antecedents of cultural agency theory: in the footsteps of Schwarz living systems

Kybernetes ◽  
2017 ◽  
Vol 46 (2) ◽  
pp. 210-222 ◽  
Author(s):  
Maurice Yolles ◽  
Davide Di Fatta
Keyword(s):  
Agency Theory ◽  
Complex Adaptive System ◽  
Point Of View ◽  
Theoretical Point ◽  
Content Type ◽  
Research Fields ◽  
Current State ◽  
Starting Point ◽  
Complex Adaptive ◽  
Cultural Agency

Purpose Cultural agency theory (CAT) generates higher simplex through principles of recursion, and, in this way, it is able to create a potential for the generation of families of new paradigms in different fields. Characterised by its interdisciplinary nature, CAT’s origins have a heterogeneous nature related to different disciplines and research fields. With this in mind, the present manuscript aims to shed light on the antecedents of CAT, especially emphasising the role of Schwarz’s studies as a feel rouge in the evolution of this theory. Design/methodology/approach Through a systematic review of the previous literature, this paper highlights the multidisciplinary nature of CAT, mapping the multifaceted framework of its antecedents. Findings The results are summarised in a conceptual map that does not constitute a point of arrival, but rather a starting point: consolidating the current state, this paper also provides new insights for further studies. Research limitations/implications This manuscript still remains a theoretical point of view. Further studies are required to apply this study’s reasoning. Originality/value From a theoretical point of view, this paper achieves a new and original cornerstone about the previous studies on CAT; from a practical viewpoint, this paper gets an input for further implications. While these theories were originally setup for cognitive processes, this paper suggests extensions to model a complex adaptive system framework for management and marketing studies.

scholarly journals Modeling and Prediction of the Impact Factor of Journals Using Open-Access Databases

2020 ◽  
Vol 49 (5) ◽  
pp. 35-58
Author(s):  
Matthias Templ
Keyword(s):  
Open Access ◽  
Impact Factor ◽  
Journal Impact Factor ◽  
Web Of Science ◽  
Functional Relationships ◽  
Modeling And Prediction ◽  
Novel Approach ◽  
The Impact ◽  
Journal Impact ◽  
The Web

This article is motivated by the work as editor-in-chief of the Austrian Journal of Statistics and contains detailed analyses about the impact of the Austrian Journal of Statistics. The impact of a journal is typically expressed by journal metrics indicators. One of the important ones, the journal impact factor is calculated from the Web of Science (WoS) database by Clarivate Analytics. It is known that newly established journals or journals without membership in big publishers often face difficulties to be included, e.g., in the Science Citation Index (SCI) and thus they do not receive a WoS journal impact factor, as it is the case for example, for the Austrian Journal of Statistics. In this study, a novel approach is pursued modeling and predicting the WoS impact factor of journals using open access or partly open-access databases, like Google Scholar, ResearchGate, and Scopus. I hypothesize a functional linear dependency between citation counts in these databases and the journal impact factor. These functional relationships enable the development of a model that may allow estimating the impact factor for new, small, and independent journals not listed in SCI. However, only good results could be achieved with robust linear regression and well-chosen models. In addition, this study demonstrates that the WoS impact factor of SCI listed journals can be successfully estimated without using the Web of Science database and therefore the dependency of researchers and institutions to this popular database can be minimized. These results suggest that the statistical model developed here can be well applied to predict the WoS impact factor using alternative open-access databases. 

scholarly journals A Novel Approach to Atomistic Molecular Dynamics Simulation of Phenolic Resins Using Symthons

Polymers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 926
Author(s):  
Matthew A. Bone ◽  
Terence Macquart ◽  
Ian Hamerton ◽  
Brendan J. Howlin
Keyword(s):  
Molecular Dynamics ◽  
Large Scale ◽  
Materials Science ◽  
Computational Simulation ◽  
Dynamics Simulation ◽  
Phenolic Resins ◽  
Novel Approach ◽  
Starting Point ◽  
Initial Monomer ◽  
Computational Materials

Materials science is beginning to adopt computational simulation to eliminate laboratory trial and error campaigns—much like the pharmaceutical industry of 40 years ago. To further computational materials discovery, new methodology must be developed that enables rapid and accurate testing on accessible computational hardware. To this end, the authors utilise a novel methodology concept of intermediate molecules as a starting point, for which they propose the term ‘symthon’ (The term ‘Symthon’ is being used as a simulation equivalent of the synthon, popularised by Dr Stuart Warren in ‘Organic Synthesis: The Disconnection Approach’, OUP: Oxford, 1983.) rather than conventional monomers. The use of symthons eliminates the initial monomer bonding phase, reducing the number of iterations required in the simulation, thereby reducing the runtime. A novel approach to molecular dynamics, with an NVT (Canonical) ensemble and variable unit cell geometry, was used to generate structures with differing physical and thermal properties. Additional script methods were designed and tested, which enabled a high degree of cure in all sampled structures. This simulation has been trialled on large-scale atomistic models of phenolic resins, based on a range of stoichiometric ratios of formaldehyde and phenol. Density and glass transition temperature values were produced, and found to be in good agreement with empirical data and other simulated values in the literature. The runtime of the simulation was a key consideration in script design; cured models can be produced in under 24 h on modest hardware. The use of symthons has been shown as a viable methodology to reduce simulation runtime whilst generating accurate models.

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.

The growing trend of India's participation in planetary science research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
B.S. Mohan ◽  
Mallinath Kumbar
Keyword(s):  
Core Collection ◽  
Web Of Science ◽  
Science Research ◽  
Planetary Science ◽  
Annual Growth Rate ◽  
Content Type ◽  
Research Fields ◽  
The Usa ◽  
Prolific Authors ◽  
The Web

PurposeThe present investigation aims to present the status of planetary science research in India using different scientometric indicators, as reflected in the Web of Science Core Collection database.Design/methodology/approachThe researcher adopted systematic approaches to retrieve the data from the Web of Science Core Collection database for 20 years by using AAS Astronomical subject keywords. A total of 1,504 Indian publications and 55,572 World's publications were considered for analysis. The data were analyzed using the biblioshiny application of bibliometrix to investigate the most productive countries/territories, institutions, authors, research fields, journals, keywords, and h, g-index. The VOSviewer program is used to construct and visualize scientometric networks and analyze the co-occurrence of terms. “Webometric Analyst 2.0” is used to retrieve the Altmetric attention scores for the articles.FindingsThe results revealed that the publications on planetary science research has increased over time, with an annual growth rate of 9.66%. The study also revealed the prolific authors and institutions, productive journals and most frequently cited journals. The USA was the major collaborating partner of India. The results also provided valuable information on the citations made to these papers on planetary science, including a total number of citations, average citations per item, cited rate and h-index. There were 28,086 citations to 1,504 papers. The top 67 citation papers were the h-core papers on planetary science in India. Altmetric score for planetary science articles ranged from 1 to 2,418. Twitter (69%), news outlets (16%), blogs (6%), and Facebook (6%) were the most popular Altmetric data resources.Originality/valueThis investigation is the first attempt to employ scientometrics and visualization techniques to planetary science research in India.

scholarly journals Examining Communities in the Transdisciplinary Area of Cognitive Science: Automatic Classification for Examining Communities in the Web of Science Using Unsupervised Clustering Methods

2019 ◽  
Vol 29 (1) ◽  
pp. 27
Author(s):  
Maxime Sainte-Marie ◽  
Laura Ridenour ◽  
Vincent Lariviére
Keyword(s):  
Cognitive Science ◽  
Classification System ◽  
National Science Foundation ◽  
Web Of Science ◽  
Subject Classification ◽  
Clustering Methods ◽  
Community Perspectives ◽  
National Science ◽  
The Web

We propose methodology for examining classification to identify and make explicit community perspectives that are neglected by traditional journal-subject classification in order to provide a more flexible and customizable classification system. Our method is based on keyword matches, and is applied to the broad transdisciplinary area of cognitive science. In the Web of Science (WoS), Scopus, and the National Science Foundation (NSF) classification, the classification of journals places each journal into a silo based on pre-determined categories deemed appropriate to demonstrate the relatedness of journals. Classification at the journal level does not necessarily represent the perspectives of a community, as a community in both membership and topical scope may transcend the bounds of a single journal classification. Our approach is novel because we examine topics within the transdisciplinary domain of cognitive science, and within that domain, we identify community perspectives on the conceptual contents as found in the titles of publications in the WoS.

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