Dimensions of Citation Analysis

Leydesdorff, Loet; Amsterdamska, Olga

doi:10.1177/016224399001500303

Cited by 95 publications

(30 citation statements)

References 36 publications

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“…[5,6,7]). We use a recently developed method to analyze self-citations in combination with co-authorships in the self-citing articles of a well known author (APE) as a potential tool for tracing scientists field mobility [1, 2, 30, 31] and if possible for the causes.…”

Section: Discussionmentioning

confidence: 99%

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Andrzej Pȩkalski Networks of Scientific Interests With Internal Degrees of Freedom Through Self-Citation Analysis

Ausloos¹,

Lambiotte²,

Scharnhorst

et al. 2008

Int. J. Mod. Phys. C

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Old and recent theoretical works by Andrzej Pȩkalski (APE) are recalled as possible sources of interest for describing network formation and clustering in complex (scientific) communities, through self-organisation and percolation processes. Emphasis is placed on APE self-citation network over four decades. The method is that used for detecting scientists' field mobility by focusing on author's self-citation, co-authorships and article topics networks as in [1,2]. It is shown that APE's self-citation patterns reveal important information on APE interest f or research topics over time as well as APE engagement on different scientific topics and in different networks of collaboration. Its interesting complexity results from "degrees of freedom" and external fields leading to so called internal shock resistance. It is found that APE network of scientific interests belongs to independent clusters and occurs through rare or drastic events as in irreversible "preferential attachment processes", similar to those found in usual mechanics and thermodynamics phase transitions.

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Section: Discussionmentioning

confidence: 99%

“…Often in much of the recent literature in citation analysis [3,4], author's self-citations are excluded as 'noise' or are treated as a bias for the analysis (e.g. [5,6,7]), whence contempted or used to draw a negative conclusion on an author activity. We disagree with such a line of thought.…”

Section: Introductionmentioning

confidence: 99%

Andrzej Pȩkalski Networks of Scientific Interests With Internal Degrees of Freedom Through Self-Citation Analysis

Ausloos¹,

Lambiotte²,

Scharnhorst

et al. 2008

Int. J. Mod. Phys. C

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show abstract

“…The given opinion is agreed upon by other authors who consider the author's self-citations as 'noise' or bias for citation analysis [7][8][9].…”

Section: Introductionmentioning

confidence: 94%

Modification of h-index in the context of the author's contribution to writing of the article

Kiselev¹

2016

Russ. Open Med. J.

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Abstract:The given article displays a modified h-index in the context of the author's contribution to writing of cited article. Each author has his/her own counting number in the authors list. These numbers are suggested as a criterion of co-authors' individual contribution to articles. The presented method does not also give the authors any advantages in h-index determination with account of their research portfolio. This balances odds of young specialists in improving their scientific grade evaluated in h-index. It is evident that the most effective is the article which was written be no more than 6 authors. At more number of co-authors, the h-index of only the first three and the last authors has the significant value of the article.

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“…Citation counts may seem convenient for the evaluation because they allow us to make an inference prima facie from "quality" in the textual to the socio-cognitive dimensions of authors and ideas, or vice versa (Leydesdorff and Amsterdamska, 1990). However, the results of the bibliometric evaluation inform us about the qualities of document sets, and not immediately about authors, institutions (as aggregates of authors), or the quality of knowledge claims.…”

mentioning

confidence: 99%

Citations: Indicators of Quality? The Impact Fallacy

Leydesdorff

Bornmann

Comins

et al. 2016

Front. Res. Metr. Anal.

Self Cite

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We argue that citation is a composed indicator: short-term citations can be considered as currency at the research front, whereas long-term citations can contribute to the codification of knowledge claims into concept symbols. Knowledge claims at the research front are more likely to be transitory and are therefore problematic as indicators of quality. Citation impact studies focus on short-term citation, and therefore tend to measure not epistemic quality, but involvement in current discourses in which contributions are positioned by referencing. We explore this argument using three case studies:(1) citations of the journal Soziale Welt as an example of a venue that tends not to publish papers at a research front, unlike, for example, JACS; (2) Robert K. Merton as a concept symbol across theories of citation; and (3) the Multi-RPYS ("Multi-Referenced Publication Year Spectroscopy") of the journals Scientometrics, Gene, and Soziale Welt. We show empirically that the measurement of "quality" in terms of citations can further be qualified: short-term citation currency at the research front can be distinguished from longer term processes of incorporation and codification of knowledge claims into bodies of knowledge. The recently introduced Multi-RPYS can be used to distinguish between short-term and long-term impacts.

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Dimensions of Citation Analysis

Cited by 95 publications

References 36 publications

Andrzej Pȩkalski Networks of Scientific Interests With Internal Degrees of Freedom Through Self-Citation Analysis

Andrzej Pȩkalski Networks of Scientific Interests With Internal Degrees of Freedom Through Self-Citation Analysis

Modification of h-index in the context of the author's contribution to writing of the article

Citations: Indicators of Quality? The Impact Fallacy

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