Bibliometric analysis of ecosystem monitoring-related research in Africa: implications for ecological stewardship and scientific collaboration

Author(s):  
Armand S.I. Yevide ◽  
Bingfang Wu ◽  
Ahmed S. Khan ◽  
Yuan Zeng ◽  
Jian Liu
PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207655 ◽  
Author(s):  
Temitope Cyrus Ekundayo ◽  
Anthony I. Okoh

2016 ◽  
Vol 109 (1) ◽  
pp. 359-375 ◽  
Author(s):  
Wei Zhang ◽  
Xiaolin Xu ◽  
Chenghan Ming ◽  
Zijun Mao ◽  
Jing Shi ◽  
...  

Author(s):  
Ram Al Jaffri Saad ◽  
Shamharir Abidin ◽  
Mohamad Zulkurnai Ghazali ◽  
Ahmad Zamil Khalid ◽  
Mohd Syahrir Rahim

The role of mosque is not only for places of worship and religious activities, but it is also a place for building unity, caring for the welfare and helping to build the economy of the community, especially the local community. To ensure the mosque is functioning well, the accounting and financial reporting of the mosque is very important. The purpose of this study is to see how much previous research has been done in the field of mosque accounting. The methodology used is to use a bibliometric analysis of articles collected from the Scopus database. The results show that studies on mosque accounting only began to be published in Scopus indexed journals in 2011 and as of 2018, only 10 articles have been published. Most of the articles were published in 2016 and most of the writers are Muslim. The focus of the mosque's accounting studies is business, management, accounting, engineering, and environmental science and the majority of studies are conducted in countries where the majority of the population is Muslim. The findings of this study can provide a general overview of current research on mosque accounting, trends, and future directions of related research.


Author(s):  
Hong Chuan Loh ◽  
Fan Kee Hoo ◽  
Jia Ni Kwan ◽  
Yi Fang Lim ◽  
Irene Looi

This study is the first bibliometric analysis of vegan-related research. This article aims to identify and organize fundamental and influential works across several decades in order to gain insight into global trends in vegan-related research. We searched the Scopus database and included all relevant articles published from 1960 (inception) to 2020. We limited our search to English language articles containing the terms “vegan,” “vegans,” or “veganism” in the title or abstract. We included all types of articles that were published in journals. We conducted a bibliometric analysis with the open-source R programming software-based Bibliometrix package. There were a total of 1440 relevant articles published in 664 journals over a span of 60 years. The first article was published in 1962. The average publication rate was 9.68 articles per year. The top journal was Nutrients with total publication of 85 (5.9%) articles and 924 total citations. The United States was the leading country with 471 articles and the University of Oxford was the most prolific institution with 59 articles. There was a total of 4586 authors with an average of 28 citations per article. McCarty from the United States was the leading author. The keyword “vegan” was the most used term with 411 occurrences, widely published in Nutrients by the United States authors. We conclude that the United States is the leading country in the field of vegan-related research and, if the trajectory we noted continues, the global trend in vegan-related research is likely to continue surging.


Author(s):  
Irina Marshakova-Shaikevich

This chapter is devoted to directions in algorithmic classificatory procedures: co-citation analysis as an example of citation network and lexical analysis of keywords in the titles. The chapter gives the results of bibliometric analysis of the international scientific collaboration of EU countries. The three approaches are based on the same general idea of normalization of deviations of the observed data from the mathematical expectation. The application of the same formula leads to discovery of statistically significant links between objects (publication, journals, keywords, etc.) reflected in the maps. Material for this analysis is drawn from DBs presented in ISI Thomson Reuters (at present Clarivate Analytics).


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