A scientometric study of the limnological societies: inferences of research collaboration and core topics based on publication networks

Kim, Ji Yoon; Joo, Gea‐Jae; Kim, Hyun Woo; Kim, Gu-Yeon; Do, Yuno

doi:10.1080/iw-6.3.849

Cited by 5 publications

(3 citation statements)

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“…Additionally, information obtained from bibliometric analyses of the literature has helped academic institutions and policymakers of government and private agencies to make more informed decisions about the allocation of research funding (Lei and Liu, 2019). Thus, bibliometric analysis is a useful statistical approach that can be used to quantitatively analyze the current state of scientific research, by highlighting trends in the field as well as gaps in the literature (Kim et al, 2016;Fawzy et al, 2020). This section of the paper, therefore, focused on the bibliometric analysis of research trends in bioconversion of agro-industrial wastes by microbial biotechnology with solid-state fermentation from 1970 to 2020 specifically to answer the following questions: Based on literature search and analysis from Dimensions database, a total of 5630 publications (5208 articles (92.50%); 340 book chapters (6.04%); 39 preprints (0.69%); 32 proceedings (0.56%); 8 edited books (0.14%); 3 monographs (0.05) specifically on solid-state fermentation were retrieved.…”

Section: Bibliometric Analysis Of Research On Solid-state Fermentationmentioning

confidence: 99%

Application of solid-state fermentation by microbial biotechnology for bioprocessing of agro-industrial wastes from 1970 to 2020: A review and bibliometric analysis

Yafetto

2022

Heliyon

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Section: Bibliometric Analysis Of Research On Solid-state Fermentationmentioning

confidence: 99%

Application of solid-state fermentation by microbial biotechnology for bioprocessing of agro-industrial wastes from 1970 to 2020: A review and bibliometric analysis

Yafetto

2022

Heliyon

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“…In this respect, high eigenvector centrality scores cover both the case when an author has collaborated with many authors and the case when the author has collaborated with important researchers (Rodrigues, 2019). Bibliometric studies often used the eigenvector centrality to identify influential and important scholars in authorship networks of a given discipline or research topic including communication studies (Griffin et al , 2016), limnology (Kim et al , 2016), language evolution (Bergmann and Dale, 2016) and electronic markets (Fischbach et al , 2011). However, the eigenvector centrality was rarely considered a potential factor to affect citation counts of articles.…”

Section: Factors In Considerationmentioning

confidence: 99%

Author-related factors predicting citation counts of conference papers: focusing on computer and information science

Lee

2020

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Purpose This paper aims to assess the predictive power of authorship properties determined at the time of publishing conference papers on future citations of conference papers in computer and information science. Design/methodology/approach This study examined 21 factors – related to all authors and to the first author – as potentially predictive of citation counts. Specifically, the study assessed properties of author's academic performance, degree of collaboration and topological properties of their research collaboration networks. Findings The results of comparing all authors with first authors indicate that the all author-related factors have a significantly higher power for explaining conference paper citation counts than the first author-related factors. Moreover, among the all author-related factors, the degree centrality before the target paper made the largest contribution. Originality/value This is one of the first attempts to focus on the relationship of author characteristics to conference papers. This is also one of only a few studies to expand prior research, which limited its bibliometric foci to journal articles, to conference papers.

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“…The availability of large-scale diachronic digitized corpora facilitates the corpus-based approach to the study of language changes [ 2 – 6 ]. Corpus-based approaches are not only typically based on strong empirical evidence, but also often rely on quantitative modeling [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Social changes through the lens of language: A big data study of Chinese modal verbs

Wang¹,

Liu²,

Huang

2022

PLoS ONE

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Leech’s corpus-based comparison of English modal verbs from 1961 to 1992 showed the steep decline of all modal verbs together, which he ascribed to continuing changes towards a more equal and less authority-driven society. This study inspired many diachronic and synchronic studies, mostly on English modal verbs and largely assuming the correlation between the use of modal verbs and power relations. Yet, there are continuing debates on sampling design and the choices of corpora. In addition, this hypothesis has not been attested in any other language with comparable corpus size or examined with longitudinal studies. This study tracks the use of Chinese modal verbs from 1901 to 2009, covering the historical events of the New Culture Movement, the establishment of the PRC, the implementation of simplified characters and the completion and finalization of simplification of the Chinese writing system. We found that the usage of modal verbs did rise and fall during the last century, and for more complex reasons. We also demonstrated that our longitudinal end-to-end approach produces convincing analysis on English modal verbs that reconciles conflicting results in the literature adopting Leech’s point-to-point approach.

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A scientometric study of the limnological societies: inferences of research collaboration and core topics based on publication networks

Cited by 5 publications

References 1 publication

Application of solid-state fermentation by microbial biotechnology for bioprocessing of agro-industrial wastes from 1970 to 2020: A review and bibliometric analysis

Application of solid-state fermentation by microbial biotechnology for bioprocessing of agro-industrial wastes from 1970 to 2020: A review and bibliometric analysis

Author-related factors predicting citation counts of conference papers: focusing on computer and information science

Social changes through the lens of language: A big data study of Chinese modal verbs

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