scholarly journals Søren Johansen and Katarina Juselius: A Bibliometric Analysis of Citations through Multivariate Bass Models

Econometrics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 30
Author(s):  
Fragiskos Archontakis ◽  
Rocco Mosconi
Keyword(s):  
Applied Research ◽  
Web Of Science ◽  
Bass Model ◽  
Bibliometric Data ◽  
Methodological Research ◽  
Composite Indices ◽  
Dynamic Version ◽  
The Impact ◽  
Cross Fertilization ◽  
The Web

We showcase the impact of Katarina Juselius and Søren Johansen’s contribution to econometrics using bibliometric data on citations from 1989 to 2017, extracted from the Web of Science (WoS) database. Our purpose is to analyze the impact of KJ and SJ’s ideas on applied and methodological research in econometrics. To this aim, starting from WoS data, we derived two composite indices whose purpose is to disentangle the authors’ impact on applied research from their impact on methodological research. As of 2017, the number of applied citing papers per quarter had not yet reached the peak; conversely, the peak in the methodological literature seem to have been reached around 2000, although the shape of the trajectory is very flat after the peak. We analyzed the data using a multivariate dynamic version of the well known Bass model. Our estimates suggest that the methodological literature is mainly driven by “innovators”, whereas “imitators” are relatively more important in the applied literature: this might explain the different location of the peaks. We also find that, in the literature referring to KJ and SJ, the “cross-fertilization” between methodological and applied research is statistically significant and bi-directional.

scholarly journals The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science

2020 ◽  
Vol 9 (5) ◽  
pp. 73 ◽  
Author(s):  
Santiago Alonso García ◽  
Gerardo Gómez García ◽  
Mariano Sanz Prieto ◽  
Antonio José Moreno Guerrero ◽  
Carmen Rodríguez Jiménez
Keyword(s):  
Scientific Community ◽  
Web Of Science ◽  
Research Community ◽  
Fake News ◽  
Scientific Performance ◽  
Impact Indicators ◽  
The World ◽  
Multidisciplinary Perspective ◽  
The Impact ◽  
The Web

Nowadays, multiple phenomena have promoted an impact on society, constituting in some cases, not only a contribution of benefits but also of risks. Among them, the fake news phenomenon is considered one of the most burning phenomena today due to the risk it poses to society. In view of this situation, the research community has carried out numerous studies that seek to address this issue from a multidisciplinary perspective. Based on this, the objective of this work was to analyze the productivity and, therefore, the impact of this topic in the research community. To this end, this work advocated a scientometric-type methodology, through scientometric laws, impact indicators, and scientific evolution of 640 publications of the web of science (WOS). The results showed the impact of the fake news discipline today, which is considered an emerging issue that is of interest to many knowledge disciplines around the world. Likewise, the results showed that the publications not only have a focus on analyzing the veracity or not of the news, but that it begins to vertebrate a new line of an investigation directed to the informational education and towards the prevention of the consumption of this type of news through the internet.

scholarly journals A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure

Publications ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 32 ◽  
Author(s):  
Manvendra Janmaijaya ◽  
Amit Shukla ◽  
Ajith Abraham ◽  
Pranab Muhuri
Keyword(s):  
Web Of Science ◽  
Science Research ◽  
Bibliometric Data ◽  
Intrinsic Structure ◽  
Vos Viewer ◽  
Network Cluster ◽  
Internal Structures ◽  
Computer Science Research ◽  
Scientometric Study ◽  
The Web

The international journal of neurocomputing (NC) is considered to be one of the most sought out journals in the computer science research fraternity. In this paper, an extensive bibliometric overview of this journal is performed. The bibliometric data is extracted from the Web of Science (WoS) repository. The main objective of this study is to reveal internal structures and hidden inferences, such as highly productive and influential authors, most contributing countries, top institutions, collaborating authors, and so on. The CiteSpace and VOS viewer is used to visualize the graphical mapping of the bibliometric data. Further, the document co-citations network, cluster detection and references with strong citation burst is analyzed to reveal the intellectual base of NC publications.

scholarly journals Citation Analysis of the Journal of Bone Metabolism from Korean Citation Index, Web of Science, and Scopus

2021 ◽  
Vol 28 (3) ◽  
pp. 193-200
Author(s):  
Byung-Ho Yoon ◽  
Bo Kwon Hwang ◽  
Eun-Ae Jung ◽  
Deog-Yoon Kim
Keyword(s):  
Bone Metabolism ◽  
Web Of Science ◽  
Citation Index ◽  
Research Grants ◽  
Pubmed Central ◽  
Total Citation ◽  
English Only ◽  
The Impact ◽  
Scimago Journal Rank ◽  
The Web

Background: Nine years have passed since the Journal of Bone Metabolism (JBM) was launched as an English journal in 2012; it was finally included in Scopus in January 2019. Therefore, this study aimed to provide evidence of increased international recognition based on journal metrics and reflect on its efforts to be recognized as a top-notch journal.Methods: Databases, such as the Web of Science (WoS), Scopus, Korean Citation Index (KCI), and citation indicators, including the impact factor (IF) and SCImago journal rank (SJR) were reviewed and calculated according to years, and the results were drawn. Furthermore, country-wise contributions and top-cited articles were also investigated.Results: The JBM 2020 IF was 2.17 in the WoS. The 2020 SJR in Scopus was 0.334, with a ranking of 165/219 (75.3%) in the Endocrinology, Diabetes, and Metabolism category. The 2020 KCI was 0.42. Of 263 articles, 260 were citable (98.9%), and of 176 original articles, 15 (8.5%) were supported by research grants. The total citation of JBM has increased from 16 in 2014 to 141 in 2020; however, its KCI remained stationary from 0.29 in 2015 to 0.42 in 2020.Conclusions: Currently, JBM is increasingly cited by international researchers than Korean researchers, indicating that the journal’s content is valued at an international level. Its inclusion in PubMed Central appears to have increased its international relevance; however, publishing English-only articles may hinder its use domestically. Therefore, efforts should be made to increase citation rates and enhance domestic readership.

scholarly journals Aplicação da Lei de Bradford a pesquisas relacionadas a Open Government

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Marcio Sembay ◽  
Adilson Luiz Pinto ◽  
Douglas Dyllon Jeronimo De Macedo ◽  
José Antonio Moreiro-González
Keyword(s):  
Web Of Science ◽  
Scientific Production ◽  
Open Government ◽  
Quantitative Character ◽  
Scientific Publications ◽  
International Context ◽  
Search Filter ◽  
Bradford’S Law ◽  
The Impact ◽  
The Web

Se ha buscado analizar la producción científica sobre el término Open Government en la base de datos Web of Science durante el período de 2010 a 2016, usando como filtro de búsqueda los títulos de los artículos en todas las lenguas y considerando la dispersión de la producción intelectual internacional. La investigación seleccionó las revistas más relevantes del área de ciencias sociales aplicadas, observando el impacto de esas revistas en esta área de conocimiento. La investigación es de carácter cuantitativo, pues se analizó la producción científica a través del acceso en línea a la base de datos Web of Science que alcanzó hasta 3.165 registros totales. Para hacer el análisis de la dispersión de la literatura afectada se aplicó la ley bibliométrica de Bradford. Se empleó como herramienta de hoja de cálculo para analizar los datos obtenidos en la minería, así como para tabularlos y tratarlos. El trabajo revela que, a lo largo de los años, las publicaciones muestran una aparición no lineal, registrándose un aumento significativo en la producción relativa al contexto internacional. De acuerdo con el núcleo de la ley de Bradford, se demuestra que el término Open Government muestra calidad en las publicaciones científicas en las que se difunde, pero que aún se encuentra en una fase de lucha por su espacio en las publicaciones científicas dentro de una ciencia actual en transformación. The objective of this study was to analyze the scientific production of the term Open Government in the Web of Science database from 2010 to 2016, using as search filter the titles of articles in all languages, considering the distribution of international intellectual productions. The research retrieved the most relevant journals in the area of applied social sciences, observing the impact of these journals to this area of knowledge. The research has a quantitative character, as it was analyzed the scientific production with online access of the Web of Science database covering a total of 3,165 documents. One of the main laws of bibliometrics was applied, Bradford's law for this analysis. If you used a spreadsheet tool for mining analysis, tabulation and data processing. The work reveals non-linearity in publications over the years recording a significant increase in production in an international context. It is concluded that the term Open Government has quality in scientific productions according to the core of the law of Bradford demonstrated in that study, however, the term is still gaining space in scientific publications nowadays in a society in transformation. Objetivou-se analisar a produção cientifica sobre o termo Open Government na base de dados Web of Science no período de 2010 a 2016, usando como filtro de busca os títulos dos artigos em todas as linguagens, considerando a distribuição das produções intelectuais internacionais. A pesquisa recuperou os periódicos mais relevantes da área de ciências sociais aplicadas, observando seu impacto para esta área de conhecimento. A pesquisa tem caráter quantitativo, pois analisou-se a produção cientifica com acesso online da base de dados Web of Scienceabrangendo um total de 3.165 registros. Aplicou-se uma das principais leis da bibliometria, a lei de Bradford para essa análise. Utilizou-se uma ferramenta de planilha para análise da mineração, tabulação e tratamento dos dados. O trabalho revela a não linearidade nas publicações ao longo dos anos registrando um aumento significativo na produção em um contexto internacional. Conclui-se que o termo Open Government tem qualidade em produções científicas conforme o núcleo da lei de Bradford demonstrada nesse estudo, porém, o termo ainda está ganhando espaço em publicações cientificas na atualidade em uma ciência em transformação.

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. 

A Bibliometric Analysis of Franchising Research (1988–2017)

2019 ◽  
Vol 28 (2) ◽  
pp. 223-249 ◽  
Author(s):  
B. Elango
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Educational Institutions ◽  
Intellectual Foundations ◽  
Functional Areas ◽  
The Impact ◽  
Published Research ◽  
The Web

This article conducts a bibliometric analysis of published research on the topic of franchising during the last three decades (1988–2017). This analysis is based on 570 articles related to franchising, from 108 journals published by 785 authors, taken from the Web of Science database. This article complements our understanding of the intellectual foundations of franchising research by highlighting the impact of authors, articles, journals and topics of interest. Given that franchising research cut across many functional areas and disciplines, the analysis provides insights for established and novice researchers, educational institutions and policymakers in understanding the evolution of this field.

scholarly journals “Sparking” and “Igniting” Key Publications of 2020 Nobel Prize Laureates

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fangjie Xi ◽  
Ronald Rousseau ◽  
Xiaojun Hu
Keyword(s):  
Nobel Prize ◽  
Design Methodology ◽  
Web Of Science ◽  
Research Evaluation ◽  
Research Work ◽  
Nobel Prize Laureates ◽  
The Impact ◽  
Practical Implications ◽  
The Web

AbstractPurposeThis article aims to determine the percentage of “Sparking” articles among the work of this year’s Nobel Prize winners in medicine, physics, and chemistry.Design/methodology/approachWe focus on under-cited influential research among the key publications as mentioned by the Nobel Prize Committee for the 2020 Noble Prize laureates. Specifically, we extracted data from the Web of Science, and calculated the Sparking Indices using the formulas as proposed by Hu and Rousseau in 2016 and 2017. In addition, we identified another type of igniting articles based on the notion in 2017.FindingsIn the fields of medicine and physics, the proportions of articles with sparking characteristics share 78.571% and 68.75% respectively, yet, in chemistry 90% articles characterized by “igniting”. Moreover, the two types of articles share more than 93% in the work of the Nobel Prize included in this study.Research limitationsOur research did not cover the impact of topic, socio-political, and author’s reputation on the Sparking Indices.Practical implicationsOur study shows that the Sparking Indices truly reflect influence of the best research work, so it can be used to detect under-cited influential articles, as well as identifying fundamental work.Originality/valueOur findings suggest that the Sparking Indices have good applicability for research evaluation.

scholarly journals Risk Management: Exploring Emerging Human Resource Issues during the COVID-19 Pandemic

2021 ◽  
Vol 14 (5) ◽  
pp. 228
Author(s):  
Yifan Zhong ◽  
Yameng Li ◽  
Jian Ding ◽  
Yiyi Liao
Keyword(s):  
Risk Management ◽  
Literature Review ◽  
Human Resources ◽  
Human Resource ◽  
Web Of Science ◽  
Global Business ◽  
Future Studies ◽  
The Impact ◽  
Business And Management ◽  
The Web

The unanticipated coronavirus disease 2019 (COVID-19) pandemic has hit global business heavily, disrupting the management of human resources across numerous industries. More than 500 articles (indexed in Scopus and the Web of Science) on the impact of the COVID-19 outbreak on emerging human resources issues and related practices were published from 1 January 2020 to 31 January 2021. In this study, we conduct a systematic literature review on emerging studies in the business and management field to explore what the emerging human resource issues are during the COVID-19 pandemic and propose related practices to solve these issues. The analysis of the published literature identifies nine main human resource issues across 13 industries. The findings of this study suggest that COVID-19 has enormous impact on conventional human resource management and requires the theoretical and empirical attention of researchers. The propositions nominate related human resource practices to deal with emerging human resources issues and identify several research venues for future studies in this field.

scholarly journals Curve Estimation Models for Estimation and Prediction of Impact Factor and CiteScore Using the Journal Percentiles: A Case Study of Telecommunication Journals

2019 ◽  
Vol 15 (14) ◽  
pp. 31 ◽  
Author(s):  
Hilary I Okagbue ◽  
Patience I Adamu ◽  
Sheila A Bishop ◽  
Emmanuela C M Obasi ◽  
Adedotun O Akinola
Keyword(s):  
Impact Factor ◽  
Web Of Science ◽  
Manuscript Submission ◽  
Curve Estimation ◽  
Subject Classifications ◽  
Positive Correlations ◽  
The Impact ◽  
The Web ◽  
Estimation Models

<p class="0abstract">The impact factor  and CiteScore of journals are known to be positively correlated with journal percentile but the use of the later to predict the formers are scarcely discussed, especially for journals in a specific subject classifications based on the web of science. This paper proposed different curve estimation models for predicting the impact factor and CiteScore of 89 telecommunication journals using their corresponding percentiles. Out of the 11 models, only Logistic, exponential, Growth and Compound models are the best models for predicting the impact factor and CiteScore using their corresponding journal percentiles. The models were chosen because of their high values of R Square and Adjusted R Square and low values of the standard error of the estimates. In addition, strong significant positive correlations were obtained between impact factor and the CiteScore of the journals. The findings will help authors and editors in decision making as regards to manuscript submission and planning.</p>

scholarly journals Bibliometric study of volatile compounds in commercial fruits of the Solanaceae family

2021 ◽  
Vol 24 ◽  
Author(s):  
Andres Mauricio Baena-Pedroza ◽  
Lina María Londoño-Giraldo ◽  
Eduardo Javid Corpas-Iguaran ◽  
Gonzalo Taborda-Ocampo
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Web Of Science ◽  
Scientific Activity ◽  
Bibliometric Study ◽  
Ecological Traits ◽  
Volatile Organic ◽  
Solanaceae Family ◽  
The Impact ◽  
The Web

Abstract Bibliometric analysis is a discipline that allows us to identify knowledge trends, assesses scientific activity and the impact of research through its volume, evolution, visibility, and structure. The present study aimed to carry out a bibliometric study of scientific research that contributes to the knowledge of Volatile Organic Compounds (VOCs) of edible and commercial fruits of Solanaceae family. The research consisted of extracting the information from papers in the Web of Science database. We analyzed and performed the production, visibility, and impact of these papers, also relationships and collaboration between authors using BibExcel and VOSviewer software. As a result, 178 documents were obtained from 2001 to 2017. Tomato is the fruit with the largest number of related articles that are focused on studying compounds responsible for taste, aroma, and biotic and abiotic relationships, as well as studies for identification of the genes responsible for these organoleptic and ecological traits. Papers analyzed are related to the research studies of 491 authors from 239 different organizations distributed in 45 countries. This bibliometric study allowed to identify trends in the knowledge in VOCs with respect to Solanaceae fruits, as well as recognizing the location of the scientific material in this field.

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