scholarly journals Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

2021 ◽  
Vol 13 (7) ◽  
pp. 1279
Author(s):  
Tong Li ◽  
Lizhen Cui ◽  
Zhihong Xu ◽  
Ronghai Hu ◽  
Pawan K. Joshi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Web Of Science ◽  
Temporal Trends ◽  
Research Trends ◽  
Annual Number ◽  
Unmanned Aerial Systems ◽  
Comprehensive Overview ◽  
Research Areas ◽  
Research Studies

Grassland remote sensing (GRS) is an important research topic that applies remote sensing technology to grassland ecosystems, reflects the number of grassland resources and grassland health promptly, and provides inversion information used in sustainable development management. A scientometrics analysis based on Science Citation Index-Expanded (SCI-E) was performed to understand the research trends and areas of focus in GRS research studies. A total of 2692 papers related to GRS research studies and 82,208 references published from 1980 to 2020 were selected as the research objects. A comprehensive overview of the field based on the annual documents, research areas, institutions, influential journals, core authors, and temporal trends in keywords were presented in this study. The results showed that the annual number of documents increased exponentially, and more than 100 papers were published each year since 2010. Remote sensing, environmental sciences, and ecology were the most popular Web of Science research areas. The journal Remote Sensing was one of the most popular for researchers to publish documents and shows high development and publishing potential in GRS research studies. The institution with the greatest research documents and most citations was the Chinese Academy of Sciences. Guo X.L., Hill M.J., and Zhang L. were the most productive authors across the 40-year study period in terms of the number of articles published. Seven clusters of research areas were identified that generated contributions to this topic by keyword co-occurrence analysis. We also detected 17 main future directions of GRS research studies by document co-citation analysis. Emerging or underutilized methodologies and technologies, such as unmanned aerial systems (UASs), cloud computing, and deep learning, will continue to further enhance GRS research in the process of achieving sustainable development goals. These results can help related researchers better understand the past and future of GRS research studies.

scholarly journals Unveiling the Past, Current and Future of Global Sustainable Livelihoods Research by Visual and Quantitative Analysis

2021 ◽  
Author(s):  
Tong Li ◽  
Lizhen Cui ◽  
Ranjay K. Singh ◽  
Francesco Fava ◽  
Zhihong Xu ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Global Environmental Change ◽  
Sustainable Livelihoods ◽  
Science Research ◽  
Research Trends ◽  
Annual Number ◽  
Future Research ◽  
The Past ◽  
Research Areas ◽  
Research Studies

Abstract Sustainable Livelihoods (SLs) is now a high-priority field in global environmental change research, becoming one of the key research paradigms in sustainability science increasingly and an important component of the Sustainable Development Goals. A Scientometrics analysis based on Science Citation Index-Expanded was performed to understand the research trends and areas in SLs studies. A total of 6441 papers related to SLs studies and 265, 759 references published from 1991 to 2020 were selected as the research objects. Using advanced quantitative analysis tools such as CiteSpace and VOSviewer, we quantify and visualize the characteristics and evolution of the literature in the field of SLs research, to clarify the historical research characteristics, knowledge base, and future research trends. The results show that the annual number of documents increased exponentially since 1991. Ecological sciences and ecology were the most popular Web of Science research areas. The institution with the greatest research documents and most citations was the CGIAR. The most influential journal is Word Development. Singh R.K., Shackleton C.M., was the most productive author. Six clusters of research areas were determined by keyword co-occurrence analysis. The results of the evolution of research hotspots show that the four tags currently still active. We also detected 11 directions of SLs research studies based on the keywords’ score relevance, which has allowed the iden-tification of future lines of research with more importance. These results can help related researchers better understand the past current and future of SLs research studies, which is significant for achieving livelihoods sustainability.

scholarly journals A Bibliometric Analysis of Sports Tourism and Sustainability (2002–2019)

2020 ◽  
Vol 12 (7) ◽  
pp. 2840 ◽  
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez ◽  
José Antonio López-Sánchez
Keyword(s):  
Sustainable Development ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Web Of Science ◽  
Research Trends ◽  
Sporting Events ◽  
Important Research ◽  
Research Issues ◽  
Sports Tourism ◽  
Development Goals

Sports tourism is a relatively recent type of tourism, which has grown significantly in recent times. Not all effects of tourism are positive, so the analysis of its sustainability has particular relevance; especially since the publication of the 17 United Nations Sustainable Development Goals (SDGs) in 2015. The growing concern about tourism and sustainability makes it essential to examine how scientific research has adapted to new realities. This paper uses bibliometric techniques to investigate research trends related to sports tourism and sustainability. VOSviewer and SciMAT software were used. A total of 214 articles from Web of Science (WoS) indexed journals were analyzed. The results confirmed that interest in the study of these concepts has been growing, especially in the last four years. This is a comparatively new field of research (since 2002), so consolidated relations between thematic areas have yet to be observed, and there is a generally low concentration of authors and journals. Increases in several publications in this area are related to the celebration of mega sporting events or the publication of SDGs. The main contribution of this analysis lies in identifying important research issues, such as education and destination planning, which should continue to be addressed.

scholarly journals The Scientific Landscape of November 23rd, 1980 Irpinia-Basilicata Earthquake: Taking Stock of (Almost) 40 Years of Studies

Geosciences ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 482
Author(s):  
Fabrizio Terenzio Gizzi ◽  
Maria Rosaria Potenza
Keyword(s):  
Web Of Science ◽  
Southern Italy ◽  
Methodological Approach ◽  
Temporal Trends ◽  
International Studies ◽  
Main Research ◽  
Italian Studies ◽  
Research Areas ◽  
Scientific Outputs ◽  
Natural Laboratory

The November 23rd, 1980 Irpinia-Basilicata (Southern Italy) earthquake is one of the strongest earthquakes ever occurred in Italy. The earthquake was a natural laboratory for the scientific community, which was engaged highly and promptly in investigating the event, thus publishing a flood of papers in different research areas over time. Just these research outputs are the focus of the article, which examines, with a tailored methodological approach, the international and national (Italian) studies started and advanced since the occurrence of the earthquake. First, we built and analyzed statistically two bibliographic databanks regarding the earthquake studies: (a) the international version of IRpinia Bibliographic databASE (IR_BASE_ENG), selecting and standardizing the pertinent scientific documents extracted from Scopus, Web of Science, and other databases and (b) the national version of the database (IR_BASE_IT) using the Google Scholar search engine to search for the most relevant papers in Italian. Second, IR_BASE_ENG was analyzed in a bibliometric perspective through the data mining VOSviewer software (Waltman et al., 2010) that builds co-occurrence term maps useful in perspective of investigating the wide-ranging studies on the earthquake. Third, taking a cue from this network analysis, we recognized the main research topics and performed a minireview of the related international studies, integrating in it a quick reference to the literature in Italian. Finally, we associated the scientific outputs to each cluster/topic, also performing the frequency analysis of the published documents for each subject, thus gaining information on the temporal trends of studies and getting a more exhaustive evidence of the scientific landscape on the earthquake over the last 40 years.

Bibliometric analysis of multiple criteria decision making in agriculture

2016 ◽  
Vol 1 (20) ◽  
pp. 17-30
Author(s):  
Sławomir Francik ◽  
Norbert Pedryc ◽  
Adrian Knapczyk ◽  
Artur Wójcik ◽  
Renata Francik ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Of Science ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Annual Number ◽  
Scientific Publications ◽  
Research Areas ◽  
Scientific Papers ◽  
Number Of Citations ◽  
The Web

Development trends (Research Trends) in scientific research on the methods of Multiple Criteria Decision Making (MCDM) and Multiple Criteria Decision Analysis (MCDA) in agriculture are analyzed. Established bibliometric techniques are applied. MCDA/MCDM methods are being very intensively developed in recent years, as evidenced by the number of scientific papers published annually in renowned scientific journals indexed in the Web of Science (WoS) database. In the years 1979-2015 a total of 1,355 scientific articles were collected in the database. The number of articles published annually increased rapidly after 2005. Besides, the annual number of citations of the publications is increasing. Research on MCDA/MCDM is conducted in many research areas. In the years 1984-2015 the Web of Science database accumulated 27 scientific publications on MCDA/MCDM in agriculture area. Therefore, it can be concluded that the MCDA/MCDM issues are currently not sufficiently analyzed in relation to agriculture. In the future this subject will probably be further developed, an increasing number of scientists will conduct research on the MCDA/MCDM and the annual number of articles published in the field will increase.

scholarly journals A246 THE GLOBAL INCIDENCE OF ACUTE PANCREATITIS IS INCREASING OVER TIME: A SYSTEMATIC REVIEW AND META-ANALYSIS

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 304-306
Author(s):  
J Iannuzzi ◽  
J H Leong ◽  
J Quan ◽  
J A King ◽  
J W Windsor ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Data Extraction ◽  
Meta Analysis ◽  
Temporal Trends ◽  
Western World ◽  
Common Disease ◽  
Biliary Disease ◽  
Comprehensive Overview ◽  
Annual Percent Change ◽  
Over Time

Abstract Background Acute pancreatitis is a common disease with significant associated morbidity and mortality. Historically, acute pancreatitis has been considered a disease with multiple etiologies and risk factors but is driven by alcohol and biliary disease. Multiple studies have shown that the incidence of acute pancreatitis is increasing globally among both adults and children. Aims The purpose of this study was to assess temporal trends in incidence of acute pancreatitis globally. Methods We performed a systematic literature search to identify population-based studies reporting the annual incidence of acute pancreatitis. Abstracts were independently assessed in duplicate to identify applicable papers for full-text review and data extraction. Joinpoint temporal trend analyses were performed to calculate the average annual percent change (AAPC) with 95% confidence intervals (CI). The AAPCs were pooled in a meta-analysis to capture the overall and regional trends in acute pancreatitis incidence over time. Temporal data were summarized in a static map and an interactive, web-based map to illustrate global differences. Results Forty-five studies reported the temporal incidence of acute pancreatitis (static map provided, online interactive map: https://kaplan-acute-pancreatitis-ucalgary.hub.arcgis.com/). The incidence of acute pancreatitis has increased from 1961 to 2016 (AAPC = 2.89%; 95% CI: 2.26, 3.52; n=41). Increasing incidence was observed in North America (AAPC = 2.71%; 95% CI: 1.93, 3.50; n=10) and Europe (AAPC = 2.79%; 95% CI: 1.95, 3.63; n=24). The incidence of acute pancreatitis was stable in Asia (AAPC = −0.28%; 95% CI: −5.03, 4.47; n=2). Conclusions This meta-analysis provides a comprehensive overview of the global incidence of acute pancreatitis over the last five decades and demonstrates a steadily rising incidence over time in most countries of the Western world. More studies are needed to better define the changing incidence of acute pancreatitis in Asia, Africa and Latin America. Funding Agencies None

scholarly journals CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics

2021 ◽  
Author(s):  
Angelo Salatino ◽  
Francesco Osborne ◽  
Enrico Motta
Keyword(s):  
Computer Science ◽  
Digital Libraries ◽  
Gold Standard ◽  
Research Trends ◽  
Alternative Methods ◽  
Relevant Research ◽  
Research Topics ◽  
Research Papers ◽  
Research Areas ◽  
Unsupervised Approach

AbstractClassifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting research trends, and recommending papers relevant to one or more topics. In this paper, we present the latest version of the CSO Classifier (v3.0), an unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive taxonomy of research areas in the field of Computer Science. The CSO Classifier takes as input the textual components of a research paper (usually title, abstract, and keywords) and returns a set of research topics drawn from the ontology. This new version includes a new component for discarding outlier topics and offers improved scalability. We evaluated the CSO Classifier on a gold standard of manually annotated articles, demonstrating a significant improvement over alternative methods. We also present an overview of applications adopting the CSO Classifier and describe how it can be adapted to other fields.

scholarly journals Research trends of posttraumatic growth from 1996 to 2020: A bibliometric analysis based on Web of Science and CiteSpace

2021 ◽  
Vol 3 ◽  
pp. 100052
Author(s):  
Wen-Jing Kou ◽  
Xiao-Qin Wang ◽  
Yang Li ◽  
Xiao-Han Ren ◽  
Jia-Ru Sun ◽  
...  
Keyword(s):  
Posttraumatic Growth ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Research Trends

scholarly journals Prediction of Ratoon Sugarcane Family Yield and Selection Using Remote Imagery

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1273
Author(s):  
James Todd ◽  
Richard Johnson
Keyword(s):  
Remote Sensing ◽  
Regression Model ◽  
Block Design ◽  
Color Space ◽  
Multiple Linear Regression Model ◽  
Cane Yield ◽  
Unmanned Aerial Systems ◽  
Family Selection ◽  
Ratoon Crop ◽  
Color Indices

Remote sensing techniques and the use of Unmanned Aerial Systems (UAS) have simplified the estimation of yield and plant health in many crops. Family selection in sugarcane breeding programs relies on weighed plots at harvest, which is a labor-intensive process. In this study, we utilized UAS-based remote sensing imagery of plant-cane and first ratoon crops to estimate family yields for a second ratoon crop. Multiple families from the commercial breeding program were planted in a randomized complete block design by family. Standard red, green, and blue imagery was acquired with a commercially available UAS equipped with a Red–Green–Blue (RGB) camera. Color indices using the CIELab color space model were estimated from the imagery for each plot. The cane was mechanically harvested with a sugarcane combine harvester and plot weights were obtained (kg) with a field wagon equipped with load cells. Stepwise regression, correlations, and variance inflation factors were used to identify the best multiple linear regression model to estimate the second ratoon cane yield (kg). A multiple regression model, which included family, and five different color indices produced a significant R2 of 0.88. This indicates that it is possible to make family selection predictions of cane weight without collecting plot weights. The adoption of this technology has the potential to decrease labor requirements and increase breeding efficiency.

scholarly journals An Overarching Review on Delay Analyses in Construction Projects

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 109
Author(s):  
Murat Çevikbaş ◽  
Zeynep Işık
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Web Of Science ◽  
Delay Analysis ◽  
Future Studies ◽  
Main Research ◽  
Research Areas ◽  
Road Map ◽  
Research Themes ◽  
Research Domains

Numerous studies have been conducted by researchers on the delay analysis topic, which is one of the primary areas of scientific study due to the effects of delays on time and cost in construction projects. Following fruitful contributions made by the researchers, it is believed to be extremely important to summarize the existing studies in terms of being a road map for future studies and practitioners. In this context, not only does this study aim to detect the most significant authors, sources, organizations and countries contributing to the improvement of delay domain in the construction industry concerning delay analyses worldwide but also to provide the researchers with extensive insights concerning the prominent research themes, trends and gaps in the literature. Hence, 168 documents related to delay analyses from 1982 to 11 February 2021 were detected through the Scopus Database and the Web of Science Database, and scientometric analyses were conducted via VOSviewer software. By evaluating the related research, two main research areas were detected in this field, namely; improving the delay analysis methods and resolving the disputes before they occur. This study is believed to make theoretical and practical contributions in that it examines the delay analysis topic in all aspects such as prominent institutions, countries, authors and sources, synthesizes the data and highlights possible research domains, gaps and trends concerning the delay analysis topic in construction industry.

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