scholarly journals Science mapping analysis of embodied energy in the construction industry

2022 ◽  
Vol 8 ◽  
pp. 1362-1376
Author(s):  
Mohamed Marzouk ◽  
Nehal Elshaboury
Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 488
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez

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.


2017 ◽  
Vol 11 (4) ◽  
pp. 959-975 ◽  
Author(s):  
Massimo Aria ◽  
Corrado Cuccurullo

2014 ◽  
Vol 132 (6) ◽  
pp. 475-497 ◽  
Author(s):  
A. Rodriguez-Ledesma ◽  
M.J. Cobo ◽  
C. Lopez-Pujalte ◽  
E. Herrera-Viedma

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Anwarul Islam ◽  
Gunilla Widen

Purpose VINE Journal of Information and Knowledge Management Systems (VJIKMS) is one of the oldest and leading journals in the knowledge management (KM) field. The purpose of this study is to conduct bibliometrics analysis of publications published in VJIKMS for the past two decades. For doing this, this paper covered the past two decades of publications and carried out a science mapping analysis of publications. Design/methodology/approach The methodology included bibliometrics and the science mapping analysis process. This paper imported the bibliographic information of VJIKMS from the abstract and citation database Scopus. Through bibliometrics method, this paper examined the citation results, author productivity, authorship pattern, research collaboration and other parameters of the selected publications. Afterward, this paper used VOSviewer software to carry out the science mapping of bibliometric networks. Findings The findings showed that VJIKMS published 718 publications during 2000–2020, which got cited 4,311 times (6 times per article) till date. Joint authorship and international collaboration have been increasing where 1,417 authors from 66 countries have published. The USA, the UK and Iran lead the KM publications in this journal. Nonaka’s publications and Journal of Knowledge Management (JKM) are highly cited references and journals in the VJIKMS. Research limitations/implications The findings of this study would help the KM students, researchers and practitioners to see the diffusion of KM globally, what are the promising areas to work and helps to know the various patterns of publications if they aim to publish in VJIKMS. Originality/value This is the first time a bibliometric analysis has been conducted to analysis of research publications published in VJIKMS. This presents a comprehensive analysis of publications between 2000 and 2020.


Author(s):  
Ruben Heradio ◽  
Hector Perez-Morago ◽  
David Fernandez-Amoros ◽  
Francisco Javier Cabrerizo ◽  
Enrique Herrera-Viedma

2012 ◽  
Vol 63 (8) ◽  
pp. 1609-1630 ◽  
Author(s):  
M.J. Cobo ◽  
A.G. López-Herrera ◽  
E. Herrera-Viedma ◽  
F. Herrera

2015 ◽  
Vol 650 ◽  
pp. 13-20
Author(s):  
Ashok Kumar ◽  
P.S. Chani ◽  
Rajesh Deoliya

Construction industry is one of the largest consumers of the natural resources and responsible for substantial amount of CO2emission in the world. The purpose of this paper is to carry out comprehensive literature review on the low embodied energy materials and techniques used in the existing and / or new buildings in India. The paper also compares the conventional building materials and techniques, with alternative ones to assess their superiority. An investigation into the energy consumed by the building materials and techniques is computed to find out the embodied energy requirements to prove superiority of innovative construction techniques over traditional materials.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1210
Author(s):  
Juan Rincon-Patino ◽  
Gustavo Ramirez-Gonzalez ◽  
Juan Carlos Corrales

Background: Machine learning is becoming increasingly important for companies and the scientific community. In this study, we perform a bibliometric analysis on machine learning research, in order to provide an overview of the scientific work during the period 2007-2017 in this area and to show trends that could be the basis for future developments in the field. Methods: This study is carried out using the SciMAT tool based on results extracted from Scopus. This analysis shows the strategic diagrams of evolution and a set of thematic networks. The results provide information on broad tendencies of machine learning. Results: The results show that SciMAT is a useful tool to carry out a science mapping analysis, and emphasizes the premise that machine learning has boundless applications and will continue to be an interesting research field in the future. Conclusions: Some of the conclusions exposed in this study show that classification algorithms have been widely studied and represent a relevant tool for generating different machine learning applications. Nonetheless, regression algorithms are becoming increasingly important in the scientific community, allowing the generation of solutions to predict diseases, sales, and yields, for example.


2020 ◽  
Vol 9 (3) ◽  
pp. 23 ◽  
Author(s):  
Pablo Sánchez-Núñez ◽  
Carlos de las Heras-Pedrosa ◽  
José Ignacio Peláez

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.


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