scholarly journals Research Progress on Aerobiology in the Last 30 Years: A Focus on Methodology and Occupational Health

2021 ◽  
Vol 13 (8) ◽  
pp. 4337
Author(s):  
Andrea Lancia ◽  
Pasquale Capone ◽  
Nicoletta Vonesch ◽  
Armando Pelliccioni ◽  
Carlo Grandi ◽  
...  
Keyword(s):  
Web Of Science ◽  
Fungal Spores ◽  
Scientific Discipline ◽  
Research Progress ◽  
Research Areas ◽  
Different Types ◽  
Critical Issues ◽  
Pollen And Spores ◽  
Number Of Publications ◽  
Occupational Settings

Aerobiology, as a scientific discipline, developed during the last century and has been applied to different types of organisms and scenarios. In the context of the Integrated Evaluation of Indoor Particulate Exposure (VIEPI) project, we conducted a bibliometric study of the scientific literature on aerobiology from the last three decades, establishing the recent advances and the critical issues regarding the application of aerobiological methods to occupational settings. The data were collected from Scopus, Web of Science and PubMed. We explored the distribution of the articles in different years and research areas and realized a bibliometric analysis using the CiteSpace software. The results indicated that the number of publications is increasing. The studies related to environmental sciences were the most represented, while the number of occupational studies was more limited. The most common keywords were related to pollen, fungal spores and their relation with phenology, climate change and human health. This article shows that aerobiology is not restricted to the study of pollen and spores, extending the discipline and the application of aerobiological methods to occupational settings, currently under-explored.

scholarly journals Citations Network Analysis of Vision and Sport

2020 ◽  
Vol 17 (20) ◽  
pp. 7574
Author(s):  
Henrique Nascimento ◽  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Comprehensive Analysis ◽  
Training Methods ◽  
Citation Networks ◽  
Publication Analysis ◽  
Research Areas ◽  
Visual Skills ◽  
Number Of Publications ◽  
Sports Vision

Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”, and “eye” for the period between 1911 and August 2020. The publication analysis was performed using the Citation Network Explorer and CiteSpace software. Results: In total, 635 publications and 801 citations were found across the network, with 2019 being the year with the highest number of publications. The most cited publication was published in 2002 by Williams et al. By using the clustering functionality, four groups covering the different research areas in this field were found: ocular lesion, visual training methods and efficiency, visual fixation training, and concussions. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on sports vision.

scholarly journals Bibliometric Study of the Comorbidity of Pain and Depression Research

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xue-Qiang Wang ◽  
Meng-Si Peng ◽  
Lin-Man Weng ◽  
Yi-Li Zheng ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Web Of Science ◽  
Science Research ◽  
The United States ◽  
Clinical Neurology ◽  
Bibliometric Method ◽  
Research Areas ◽  
Cooperative Institutions ◽  
Number Of Publications ◽  
General Aspects ◽  
Over Time

Background. Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. Methods. The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. Results. A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P<0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. Conclusions. The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.

scholarly journals Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

2020 ◽  
Vol 17 (20) ◽  
pp. 7690 ◽  
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
The United States ◽  
Disease Spread ◽  
The Novel ◽  
Research Areas ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Novel Coronavirus ◽  
The Relationship

Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

scholarly journals Small and Medium Entrepreneurship: Bibliometric Analysis

2021 ◽  
pp. 53-60
Author(s):  
Natalia FILIMONOVA ◽  
Svetlana BOLTUNOVA ◽  
Victoria FILIMONOVA
Keyword(s):  
Web Of Science ◽  
Current Knowledge ◽  
Economic Systems ◽  
Time Interval ◽  
Research Topics ◽  
Research Areas ◽  
Research Fronts ◽  
Wide Range ◽  
Current Knowledge Base ◽  
Number Of Publications

Despite the high importance of small business for the development of economic systems, it faces a number of difficulties due to its size. These circumstances have attracted the attention of the scientific community. As the dynamics of the number of publications on the development of small and medium-sized enterprises shows, scientists around the world are interested in a wide range of issues. The purpose of this article was to analyze the evolution of research fronts and identify key research topics, the current knowledge base and influential publications of Russian and foreign scientists. We used the freeware product CiteSpaceV to conduct our research. To analyze the publications, we used the ISI Web of Science Core Collection (WoS) database, the selected time interval was from 1997 to 2020. As a result of this study, eight major clusters in the field of SME development were identified according to foreign publications; only one cluster was identified according to Russian publications. A comparison of research fronts on foreign publications with Russian topics can become the basis for forecasting promising research areas.

scholarly journals A bibliometric review of cryptocurrencies: how have they grown?

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Francisco Javier García-Corral ◽  
José Antonio Cordero-García ◽  
Jaime de Pablo-Valenciano ◽  
Juan Uribe-Toril
Keyword(s):  
New Technologies ◽  
Web Of Science ◽  
R Package ◽  
Research Areas ◽  
Blockchain Technology ◽  
Economic Area ◽  
Current Topic ◽  
Bibliometric Review ◽  
Number Of Publications ◽  
The Impact

AbstractWith the development of new technologies, some concepts become relevant in the economic area, as is the case with cryptocurrencies, in general, or Bitcoin and Ethereum, in particular. Due to the impact of these tools, a detailed bibliometric study that allows us to obtain all information about cryptocurrencies must be conducted. This study will help scientific production by specifying the development and lines of related research that have been followed and are currently being followed. We have used Tableau, R (Bibliometrix R Package), and VOSviewer software to analyze the information. These have been combined to create and review unified metadata from the Web of Science (WoS) and Scopus databases. The bibliometric analysis shows 771 articles on the WoS database and 648 articles on Scopus published between 2010 and early 2019. They present the most relevant articles, research areas, countries, institutions, authors, journals, and trends during the last few years. In conclusion, the number of publications has grown in the last 3 years. The analysis shows the evolution of blockchain technology used in this type of cryptocurrency. The review of this period marks a possible end to the historical part of cryptocurrencies, thereby opening the current topic to its multiple applications.

scholarly journals Research progress on meibomian gland dysfunction from 2011 to 2020: a bibliometric and visualized analysis

2021 ◽  
Author(s):  
Qian Liu ◽  
Fangkun Zhao ◽  
Jun Kong
Keyword(s):  
Core Collection ◽  
Web Of Science ◽  
International Workshop ◽  
The United States ◽  
Meibomian Gland ◽  
Research Progress ◽  
Meibomian Gland Dysfunction ◽  
Research Areas ◽  
Visual Science ◽  
The Web

Abstract Background To explore the research areas, hotspots, and progress of meibomian gland dysfunction through bibliometrics. Methods Related publications were retrieved from the Web of Science Core Collection from 2011 to 2020. VOSviewer1.6.16, Citespace.5.7.R2, and GraphPad Prism 8 were used to visualize the distribution of countries, research institutions, journals, authors, keywords, and annual publication numbers in this field. Results A total number of 716 relevant publications were retrieved. The United States and Keio University ranked the first among the countries and organizations with the most publications. Cornea, Investigative Ophthalmology & Visual Science, and Ocular Surface were the top three journals with the highest publication counts and citations. The authors who contributed to this topic mainly formed three clusters which manifested the research areas, and the extracted keywords mainly formed four clusters which manifested the hotspots were explored. Conclusions The research areas and hotspots of meibomian gland dysfunction were as follow: (1) Pathogenesis or potential etiology of meibomian gland dysfunction; (2) Diagnosis of meibomian gland dysfunction; (3) Therapy of meibomian gland dysfunction and the International Workshop`s dedication to it; (4) Epidemiology of meibomian gland dysfunction.

scholarly journals REVIEW OF THE SUSTAINABLE BUILT ENVIRONMENT IN 1998–2015

2016 ◽  
Vol 8 (2) ◽  
pp. 41-51 ◽  
Author(s):  
Ieva Ubarte ◽  
Oleg Kaplinski
Keyword(s):  
Built Environment ◽  
Environmental Science ◽  
Web Of Science ◽  
Review Of The Literature ◽  
Document Type ◽  
Building Technology ◽  
Research Areas ◽  
Thomson Reuters ◽  
Number Of Publications ◽  
Qualitative Changes

A city is a complex physical and social phenomenon that is under constant development and undergoes quantitative and qualitative changes. The welfare of the whole society depends on the sustainability of the built environment. The article presents a review of the literature on the sustainable built environment, which was made on the basis of the Thomson Reuters Web of Science Core Collection database. The analysed articles were published between 1998 and 2015. The analysis of the number of publications was made according to years of publication, countries, research areas and the Web of Science categories. 31 article and review document type were selected for a detailed analysis by three key Web of Science categories: environmental science, environmental studies, and construction and building technology.

scholarly journals Current State and Future Trends: A Citation Network Analysis of the Academic Performance Field

2020 ◽  
Vol 17 (15) ◽  
pp. 5352
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Academic Performance ◽  
Web Of Science ◽  
Citation Index ◽  
Citation Network ◽  
Time Interval ◽  
Research Areas ◽  
Current State ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Educational Field

Background: In recent years, due to its complexity and relevance, academic performance has become a controversial research topic within the health and educational field. The main purposes of this study were to analyze the links between publications and authors via citation networks, to identify the different research areas and to determine the most cited publications. Methods: The publication search was performed through the Web of Science database, using the term “Academic Performance” for a time interval from 1952 to 2019. The software used to analyze the publications was the Citation Network Explorer. Results: We found a total of 16,157 publications with 35,213 citations generated in the network, and 2018 had the highest number of publications of any year. The most cited publication was published in 2012 by Richardson et al. with a citation index score of 352. By using the clustering function, we found nine groups related to different areas of research in this field: health, psychology, psychosociology, demography, physical activity, sleep patterns, vision, economy, and delinquency. Conclusions: The citation network showed the main publications dealing with the different factors that affect academic performance, and it was determined that psychological and psychosocial factors were the most relevant.

scholarly journals Dynamics of the Russian segment of science piblications (based on Web of Science Core Collection and Scopus data)

2021 ◽  
pp. 15-28
Author(s):  
Yu. V. Mokhnacheva ◽  
V. A. Tsvetkova
Keyword(s):  
Social Sciences ◽  
Core Collection ◽  
Web Of Science ◽  
Citation Index ◽  
Research Articles ◽  
Research Areas ◽  
The World ◽  
Humanities And Social Sciences ◽  
Number Of Publications ◽  
Russian Publication

The findings of the study of Russian publications array of 2010-2019 are presented. The dynamics for the ten-year period (2010-2019) is demonstrated. For completeness, two of the most authoritative international polythematic resources, i. e. Web of Science Core Collection (WoS CC) and Scopus, were analyzed in parallel. The dynamics of Russian publications is presented in two versions: all types of publications indexed by the systems, and selected types of publications (research articles, reviews, book chapters, and letters). The positive dynamics of the share of Russian publications within the global array was determined, as well as the increase in Russia’s rating positions in terms of the number of publications in the period 2010-2019, were determined. The publications with Russian participation are represented in all 153 science areas (the WOS CC classifier "Research Areas"), however, the barrier of 1% of the total segment of Russian publications reflected in the WoS CC was cleared just in 42 areas. It is demonstrated that in the recent years, along with the decreasing tendency for the share of publications in physics and chemistry within the Russian publication array, there has been an increase in the rate of publications in the technical, social sciences and the humanities. The Emerging Sources Citation Index (ESCI), a WoS CC member since 2015, promotes intensively the works in the humanities and social sciences to the world publishing space. Despite the decrease in the rate of physics and chemistry in the Russian publication segment, these areas remain the undisputed leaders in the share of publications in WoS CC.

scholarly journals Literature Review on Artificial Intelligence in Journalism: A Bibliometric Analysis of Publications Indexed in the Web of Science and Scopus

2021 ◽  
Vol 10 (4) ◽  
pp. 734-744
Author(s):  
Violetta Zorina ◽  
Elizaveta Osipovskaya
Keyword(s):  
Artificial Intelligence ◽  
Quantitative Research ◽  
Web Of Science ◽  
Empirical Studies ◽  
Academic Literature ◽  
The Past ◽  
Research Areas ◽  
Current State ◽  
Number Of Publications ◽  
The Web

This article reviews the past-to-present academic literature on artificial intelligence (AI) in journalism. Over the past years, these technologies have attracted the sufficient attention of researchers from various fields of scientific study producing a large number of publications. We have reviewed academic articles published between 2015 and 2021 to provide understanding of the current state of the research on AI in various research areas including journalism. The corpus was gathered by searching publications in two international databases, Scopus and the Web of Science (WoS). 70 empirical studies were selected on the basis of applying AI to journalism. Each article was categorized according to the type of database, period of time, the country of publication, the field of study and the frequency of citations. The applied method of quantitative research allows tracking the development of research within six years in the field of automated journalism. Finally, we put forward several proposals for further research in this field.

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