scholarly journals Landscape and Tourism: Evolution of Research Topics

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 488
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez
Keyword(s):  
National Parks ◽  
Web Of Science ◽  
Software Tool ◽  
Research Topics ◽  
Science Mapping ◽  
Research Fields ◽  
Complete Knowledge ◽  
Mapping Analysis ◽  
Landscape Research ◽  
Emerging Themes

Tourism and landscape are broad and complex scientific research fields, as is the synergy between them has given rise to a volume of articles diverse in nature, subject matter and methodology. These difficulties mean that, at present, there is no complete theoretical framework to support this tourism and landscape research, nor complete knowledge of its structure and organization. This motivates the present work, which constitutes the first attempt at mapping this research topic by applying bibliometric techniques using VOSviewer and Science Mapping Analysis Software Tool (SciMAT) software. A total of 3340 articles from journals indexed in Web of Science were analyzed. The results obtained confirm that interest in the study of these concepts has been growing, especially in the last decade. The main contribution of this work lies in the identification of work themes that were basic to the construction of the field but that are currently in decline, such as “cultural heritage” and other themes important to the field that should continue to be dealt with, such as “national parks” or “geotourism”. The transversal nature of sustainability that appears in the network of keywords related to currently emerging themes, such as “planning” and “environment”, is also highlighted and reinforced.

scholarly journals El profesional de la información (EPI): bibliometric and thematic analysis (2006-2017)

2019 ◽  
Author(s):  
José-Ricardo López-Robles ◽  
Javier Guallar ◽  
José-Ramón Otegi-Olaso ◽  
Nadia-Karina Gamboa-Rosales
Keyword(s):  
Social Sciences ◽  
Core Collection ◽  
Web Of Science ◽  
Citation Index ◽  
Software Tool ◽  
Intellectual Structure ◽  
Science Mapping ◽  
Mapping Analysis ◽  
The One ◽  
Social Sciences Citation Index

The current research conducts a bibliometric performance and intellectual structure analysis of El profesional de la información(EPI) from 2006 to 2017. On the one hand, the EPI’s performance is analyzed according to the data retrieved from the database Social Sciences Citation Index (SSCI), part of Web of Science Core Collection, putting the focus on the productivity of the authors, number of references, organizations, countries and main publications. On the other hand, the intellectual structure of the journal is analyzed with SciMAT, an open source (GPLv3) bibliometric software tool developed to perform a science mapping analysis under a longitudinal framework, identifying the main thematic areas that have been the object of research, their composition, relationship and evolution during the period analyzed.

SciMAT: A new science mapping analysis software tool

2012 ◽  
Vol 63 (8) ◽  
pp. 1609-1630 ◽  
Author(s):  
M.J. Cobo ◽  
A.G. López-Herrera ◽  
E. Herrera-Viedma ◽  
F. Herrera
Keyword(s):  
Software Tool ◽  
Analysis Software ◽  
Science Mapping ◽  
New Science ◽  
Mapping Analysis

scholarly journals Opinion Mining and Sentiment Analysis in Marketing Communications: A Science Mapping Analysis in Web of Science (1998–2018)

2020 ◽  
Vol 9 (3) ◽  
pp. 23 ◽  
Author(s):  
Pablo Sánchez-Núñez ◽  
Carlos de las Heras-Pedrosa ◽  
José Ignacio Peláez
Keyword(s):  
Sentiment Analysis ◽  
Opinion Mining ◽  
Web Of Science ◽  
Scientific Work ◽  
Image Understanding ◽  
Marketing Communications ◽  
Science Mapping ◽  
Online Searching ◽  
Consumer Experiences ◽  
Mapping Analysis

Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.

scholarly journals A Bibliometric Overview of Twitter-Related Studies Indexed in Web of Science

2020 ◽  
Vol 12 (5) ◽  
pp. 91
Author(s):  
Jingyuan Yu ◽  
Juan Muñoz-Justicia
Keyword(s):  
Thematic Analysis ◽  
Web Of Science ◽  
Current Knowledge ◽  
Academic Research ◽  
R Package ◽  
Research Topics ◽  
Science Mapping ◽  
The Social ◽  
And Performance ◽  
Productive Authors

Twitter has been one of the most popular social network sites for academic research; the main objective of this study was to update the current knowledge boundary surrounding Twitter-related investigations and, further, identify the major research topics and analyze their evolution across time. A bibliometric analysis has been applied in this article: we retrieved 19,205 Twitter-related academic articles from Web of Science after several steps of data cleaning and preparation. The R package “Bibliometrix” was mainly used in analyzing this content. Our study has two sections, and performance analysis contains 5 categories (Annual Scientific Production, Most Relevant Sources, Most Productive Authors, Most Cited Publications, Most Relevant Keywords.). The science mapping included country collaboration analysis and thematic analysis. We highlight our thematic analysis by splitting the whole bibliographic dataset into three temporal periods, thus a thematic evolution across time has been presented. This study is one of the most comprehensive bibliometric overview in analyzing Twitter-related studies by far. We proceed to explain how the results will benefit the understanding of current academic research interests on the social media giant.

Análisis de las tecnologías tangibles para la educación infantil y principales estrategias pedagógicas

2021 ◽  
pp. 36-52
Author(s):  
Carina Soledad González González
Keyword(s):  
Web Of Science ◽  
Science Mapping ◽  
Mapping Analysis

Este estudio revisa la literatura científica sobre el uso de tecnologías tangibles en la educación infantil, a fin de: a) identificar qué tecnologías tangibles se han utilizado; b) reconocer los objetivos educativos de la utilización de estas tecnologías y c) presentar una síntesis de la evidencia empírica disponible sobre su efectividad educativa. La búsqueda sistemática fue realizada en la base de datos “Web of Science (WoS)” y se analizaron utilizando la herramienta de software científico “Science Mapping Analysis”. Luego, se incluyeron 29 documentos relevantes de los últimos cinco años en el estudio de revisión. Para cada artículo, se analizó el propósito del estudio, el tipo de tecnología tangible utilizada, el método de investigación aplicado, las características de la muestra y los principales resultados obtenidos. Los artículos revisados sugieren que la principal tecnología tangible utilizada en la educación infantil es la tableta digital y la alfabetización (básica y emergente) es el área más estudiada, y con resultados prometedores.

scholarly journals Tangible Technologies for Childhood Education: A Systematic Review

2019 ◽  
Vol 11 (10) ◽  
pp. 2910 ◽  
Author(s):  
Carina S. González-González ◽  
María D. Guzmán-Franco ◽  
Alfonso Infante-Moro
Keyword(s):  
Scientific Literature ◽  
Software Tool ◽  
Educational Effectiveness ◽  
Analysis Software ◽  
Science Mapping ◽  
Childhood Education ◽  
Mapping Analysis ◽  
Sample Characteristics ◽  
Review Study ◽  
Tangible Technologies

This study reviews published scientific literature on the use of tangible technologies in childhood education, in order to (a) identify the what tangible technologies have been used, (b) recognize the educational purposes and uses these technologies of, and (c) present a synthesis of the available empirical evidence on its educational effectiveness. After systematically searching in WoS, 288 relevant articles were located and analyzed using the Science Mapping Analysis Software Tool from 1968 to 2018. Then, 29 relevant papers of the last five years were included in the review study. For each article, we analyze the purpose of the study, the type of tangible technology used, the research method applied, the sample characteristics and the main results observed. The articles reviewed suggest that the main tangible technology used in childhood education is the tablet and literacy (basic and emergent) is the area most studied with promising results.

Science mapping analysis of “cultural” in web of science (1908–2019)

2021 ◽  
Author(s):  
Antonio-José Moreno-Guerrero ◽  
María Elena Parra-González ◽  
Jesús López-Belmonte ◽  
Adrián Segura-Robles
Keyword(s):  
Web Of Science ◽  
Science Mapping ◽  
Mapping Analysis

scholarly journals Menopause and Sustainable Career Outcomes: A Science Mapping Approach

2021 ◽  
Vol 18 (23) ◽  
pp. 12559
Author(s):  
Beatrice I. J. M. Van der Heijden ◽  
Karen Pak ◽  
Mónica Santana
Keyword(s):  
Postmenopausal Women ◽  
Older Workers ◽  
Web Of Science ◽  
Research Field ◽  
Menopausal Symptoms ◽  
Science Mapping ◽  
Women Health ◽  
The Third ◽  
Mapping Analysis ◽  
The Impact

This paper provides a systematic review of the phenomenon of menopause at the workplace from a sustainable career perspective, by highlighting its major themes along with the evolution and tendencies observed in this field. A conceptual science mapping analysis based on co-word bibliographic networks was developed, using the SciMAT tool. From 1992 to 2020, 185 documents were retrieved from the Web of Science. In the first analyzed time span (1992–2002), postmenopausal women, health, and risk factors appeared to be the motor themes (well-developed and important for the structure of the discipline under focus), and disorder was an emerging or disappearing theme in the phenomenon under research. In the second studied period (2003–2013), risk and health were motor themes, menopausal symptoms was a basic or transversal theme (important for the discipline but not well-developed), coronary heart disease was a specialized theme (well-developed but less important for the structure of the research field), and postmenopausal women was an emerging or disappearing theme (both weakly developed and marginal to the field). In the third studied period (2014–2020), menopause, breast cancer, and menopausal symptoms were motor themes, Anxiety was a specialized theme and risk and body mass index were emerging or disappearing themes. Sustainability of women’s careers in the second half of life is of increasing importance given the increasing equal representation of men and women in working organizations, and the impact of the changing nature of work in the 21st century on older workers.

scholarly journals Exploring machine learning: A bibliometric general approach using Citespace

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1240 ◽  
Author(s):  
Juan Rincon-Patino ◽  
Gustavo Ramirez-Gonzalez ◽  
Juan Carlos Corrales
Keyword(s):  
Machine Learning ◽  
Virtual Reality ◽  
Web Of Science ◽  
Protein Molecule ◽  
Science Mapping ◽  
Mapping Analysis ◽  
Machine Learning Applications ◽  
The Usa ◽  
Learning Research ◽  
Near Future

Background: Machine learning researches algorithms that allow a machine to learn about resolving problems in different application domains. Due to the wide number of machine learning applications, it is necessary for newcomers to the field to have alternatives to explore this field faster. Methods: In this paper, we present a science mapping analysis on the machine learning research in the period 2007-2017. This study was develop using the CiteSpace tool based on results from Clarivate Web of Science. This analysis shows how the field has evolved, by highlighting the most notable authors, institutions, keywords, countries, categories, and journals. Results: The results provide information on trends and possibilities in the near future, particularly in areas such as health, biology and banking, where machine learning is a valuable tool to generate solutions. Conclusions: Machine learning is being widely studied, and several institutions in countries like the USA and China constantly generate machine learning based solutions. Diseases, such as cancer or Alzheimer’s disease, studies in biology, such as the protein molecule, virtual reality, commerce, smartphones, and ubiquitous computing, are all fields where machine learning contributes to resolving problems.

scholarly journals The evolution of knowledge in sericultural research as observed through a science mapping approach

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2075 ◽  
Author(s):  
Giselle Zambrano-Gonzalez ◽  
Gustavo Ramirez-Gonzalez ◽  
Martha I. Almanza-P
Keyword(s):  
Web Of Science ◽  
Software Tool ◽  
R Package ◽  
Research Field ◽  
Asian Countries ◽  
Relevant Research ◽  
Science Mapping ◽  
Number Of Publications ◽  
Definition Of ◽  
Insight Into

Background: Sericulture, since its discovery in China, has spread to become a valued activity in a range of other countries. China remains the leading producer of silk, followed by India and other Asian countries, Europe, Brazil and Colombia. This article examines the evolution of sericultural research between 1892 and 2016, identifying the main themes and applications. Methods: The SciMat software tool and the Bibliometrix R package were used as tools for data analysis in this study, based on records from the Clarivate Analytics Web of Science and SCOPUS databases. Results: The results show that research has been growing, both in number of publications from the 1990s onwards, and in the emergence of topics closely related to the sericulture research field, a field that proves to be multi-disciplinary, exhibiting expansion and vitality. Conclusions: The information gathered will contribute greatly to the definition of relevant research strands, bearing in mind a number of significant gaps in information in this field. It will furthermore provide a better insight into the development of sericulture research over time.

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