Gender differences, data carpentry and bibliometric studies in Mathematics

Jalal, Samir Kumar; Mukhopadhyay, Parthasarathi

doi:10.1080/09737766.2022.2090873

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…The robust nature of the bibliometric method results in studies in diverse research areas. There are a few examples as follows: innovation convergence (Cui et al, 2022), image processing (Khan et al, 2022), digital journalism research (Banshal et al, 2022), ecopreneurship (Guleria and Kaur, 2021), mucormycosis (Borgohain et al, 2022), planetary science research (Mahala and Singh, 2021), artificial intelligence (Sharma et al, 2022;Shao et al, 2022), hospitality and tourism marketing research (Liu et al, 2022), blockchain (Alam et al, 2022), gerontology research (Shen et al, 2019), maker education (Feng et al, 2022), e-government research (Ramzy and Ibrahim, 2022), gender differences (Jalal and Mukhopadhyay, 2022), data economy (Olaleye et al, 2022) and information science (Islam and Agarwal, 2022). Nove et al (2017) demonstrated that GL is extremely important across all fields.…”

Section: Bibliometricsmentioning

confidence: 99%

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The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer

Wani

Ganaie²

2022

LHT

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PurposeThe current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.Design/methodology/approachThe source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.FindingsThe findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.Practical implicationsThe study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.Originality/valueThe present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

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Section: Bibliometricsmentioning

confidence: 99%

“…, 2019), maker education (Feng et al. , 2022), e-government research (Ramzy and Ibrahim, 2022), g ender differences (Jalal and Mukhopadhyay, 2022), data economy (Olaleye et al ., 2022) and information science (Islam and Agarwal, 2022).…”

Section: Introductionmentioning

confidence: 99%

The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer

Wani

Ganaie²

2022

LHT

View full text Add to dashboard Cite

show abstract

Gender differences, data carpentry and bibliometric studies in Mathematics

Cited by 1 publication

References 9 publications

The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer

The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer

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