Assessment of author ranking indices based on multi-authorship

Salman, Muhammad; Ahmed, Mohammad Masroor; Afzal, Muhammad Tanvır

doi:10.1007/s11192-021-03906-1

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…For some years now, information scientists have proposed alternative methods to evaluate individual scholars’ contributions to multi-authored scholarship (e.g., Egghe, 2008; Galam, 2011; Schreiber, 2009). Many are variants on the familiar h- index (e.g., Salman et al, 2021), and they fractionally allocate authorship credit based on specific criteria (e.g., Vavrycuk, 2018). Most recently, there is a push to account for “scientific leadership” in author ordering (Hirsch, 2019; Simoes & Crespo, 2022), but the fruits of those labors have yet to catch on throughout the social sciences, and particularly in criminal justice/criminology, where it remains a tradition or convention to treat all citations with equal weights.…”

Section: Citation Analysis Shortcomingsmentioning

confidence: 99%

Citation Data and Analysis: Limitations and Shortcomings

Worrall

Cohn

2023

Journal of Contemporary Criminal Justice

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As a means for measuring scholarly influence, citation analysis has several limitations and shortcomings. We first review the main sources of citation data (Web of Science, Scopus, Google Scholar, and information collected directly from reference lists) and discuss the shortcomings of each source. Next, we review five significant limitations of citation analysis as a methodology (academic over popular interest, various motivations for citing, manipulation potential, failure to account for author ordering, and citations only appearing in “indexed” journals). The issues we touch on set the stage for the remainder of the articles in this special issue.

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Section: Citation Analysis Shortcomingsmentioning

confidence: 99%

Citation Data and Analysis: Limitations and Shortcomings

Worrall

Cohn

2023

Journal of Contemporary Criminal Justice

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“…Performance of multi-authorship indices for the ranking of authors has been discussed in the literature [26,[44][45][46]. Abramo et al [44] recommended to use indicators or evaluation methods that take into consideration authors' contributions.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of scaling parameters and research output of selected highly- and moderately-cited individual authors

Sangwal¹

2022

jcsi

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The real data of cumulative citations ln of selected nth paper of individual N papers published by some highly- and moderately-cited individual authors are analyzed to compare Hirsch and Hirsch-type indices h, h1, hf and hm, and citation radii R and Rf from consideration of: (1) the number An of coauthors of the paper, (2) the normalization of citations ln and cumulative fraction lnf of citation of the nth paper by mean and median citations of the citations ln of all Nc cited papers, and (3) the determination of effective rank neff of the lnf citations. Analysis of the ln(n), lnf(n) and lnf(neff) data was also carried out by using a Langmuir-type function l = l0[1-aKn/(1+Kn)], where l denotes the citations ln and lnf of all cited Nc papers arranged in the decreasing order, a is an effectiveness parameter, K is the so-called Langmuir constant, n denotes the rank n or neff of citations and l0 is the value of l when n or neff approaches zero. For a comparison of the publication output of different authors it was found that the hm index is more consistent than other indices, and it can be normalized to account for the publication career of different authors. However, Langmuir-type function is not adequate for comparison of the publication output of different authors because it describes the rank-order distribution patterns satisfactorily in terms of two parameters. To compare the publication output of different authors independent of their career length t, it is suggested to use scaling parameters h/t, hf/t and hm/t.

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