On the influence of uncited publications on a researcher’s h-index

Mohammed, Shaibu; Morgan, Anthony; Nyantakyi, Emmanuel Kwesi

doi:10.1007/s11192-020-03356-1

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…We refer to this measure as citedness, as opposed to uncitedness (Schwartz 1997), which has been investigated and discussed in other contexts as an indication of research with little to no impact (e.g. Garousi and Fernandes 2017;Cronin, 1984, p. 32), although not without dispute (Mohammed et al 2020, pp. 1796-1797, Van Noorden 2017.…”

Section: Citednessmentioning

confidence: 99%

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Do open access journal articles experience a citation advantage? Results and methodological reflections of an application of multiple measures to an analysis by WoS subject areas

2020

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This study is one of the first that uses the recently introduced open access (OA) labels in the Web of Science (WoS) metadata to investigate whether OA articles published in Directory of Open Access Journals (DOAJ) listed journals experience a citation advantage in comparison to subscription journal articles, specifically those of which no self-archived versions are available. Bibliometric data on all articles and reviews indexed in WoS, and published from 2013 to 2015, were analysed. In addition to normalised citation score (NCS), we used two additional measures of citation advantage: whether an article was cited at all; and whether an article is among the most frequently cited percentile of articles within its respective subject area (pptopX %). For each WoS subject area, the strength of the relationship between access status (whether an article was published in an OA journal) and each of these three measures was calculated. We found that OA journal articles experience a citation advantage in very few subject areas and, in most of these subject areas, the citation advantage was found on only a single measure of citation advantage, namely whether the article was cited at all. Our results lead us to conclude that access status accounts for little of the variability in the number of citations an article accumulates. The methodology and the calculations that were used in this study are described in detail and we believe that the lessons we learnt, and the recommendations we make, will be of much use to future researchers interested in using the WoS OA labels, and to the field of citation advantage in general.

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Section: Citednessmentioning

confidence: 99%

“…1796-1797, Van Noorden 2017. We treat citedness as an indication that an article has been formally incorporated into its broader subject area and has become visible to the research community (Mohammed, Morgan, andNyantaki 2020, p. 1797). Self-citations (i.e.…”

Section: Citednessmentioning

confidence: 99%

Do open access journal articles experience a citation advantage? Results and methodological reflections of an application of multiple measures to an analysis by WoS subject areas

2020

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“…Citation count is extensively used within research systems today to measure research impact, quality, and relevance (Aksnes et al, 2019;Heßler & Ziegler, 2022). For example, it has been used to assess researchers, research groups, departments, and institutions (Abbasi & Jamali, 2019;Berche et al, 2016;Mohammed et al, 2020). However, the accuracy of citation metrics for such assessments has been a longstanding debate in the field of information sciences (Caon et al, 2020;Downes & Lancaster, 2020;J.…”

Section: Introductionmentioning

confidence: 99%

Measuring network-driven citations: An adjusted citation count metric

Bonhoure,

Bawack

2023

CJSIM

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Citation count is extensively used within research systems to measure research performance and relevance. However, high numbers of citations could result from many different factors. This paper proposes an adjusted citation count metric to help identify citations from researchers’ networks. Using data from the Web of Science core collection, this research suggests and illustrates an approach to compute the proportion of citation counts from within and out of author networks, defined as the set of their co-authors. The results reveal the trends and effects of author networks on citation counts. The paper explains how these findings could be used to assess research performance. Its utilisation will depend mainly on the objectives of the assessor and the stage of the researcher’s career. An algorithm is also proposed that could be used to automate the computation of the proposed metric. It could serve as a step towards refining and integrating this metric into existing bibliometric analysis packages built on the R software platform.

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