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Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence

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Subject- Finance
Topic- Journal Impact Factor, Eigenfactor, Journal Influence and
Article Influence
University name- UNIVERSITY OF CANTERBURY

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Introduction
Evaluating research quality is fundamental to the Sciences and Social Sciences.
Research assessment rankings are essential to evaluate the research performance
of individuals and the quality of academic journals. The perceived research
performance of individual researchers is crucial for hiring, firing, tenure and
promotion decisions. In the absence of clear signals re-garding the inherent, and
frequently latent, quality of research, the perceived quality of a journal may
frequently be used as a proxy, albeit inappropriately, for the quality of a research
paper.
Most journal performance metrics are based on alternative transformations of
citations and journal influence. The Thomson Reuters ISI Web of Science database
[16] (hereafter ISI) is a leading high quality database for generating research
assessment measures, especially citations, to evaluate the research performance of
individual researchers and the quality of academic journals. Although there are
caveats regarding the methodology and data collection methods underlying any
database (see, for example, Seglen [18], Chang and McAleer [6, 7, 8, 9, 10, 11] for
caveats regarding ISI), the ISI citations database is the oldest source of rankings
criteria and the benchmark against which other databases are compared.
This paper examines the novelty and usefulness of two new journal performance
metrics, namely the Eigenfactor score, which may be interpreted as measuring
“Journal Influence”, and Article Influence score, using ISI data for 2009 for the
200 most highly cited journals in each of the Sciences and Social Sciences, and
compares them with two existing ISI metrics, namely Total Citations and the 5-
year Impact Factor (5YIF) of a journal (including journal self citations).
It is shown that the Sciences and Social Sciences are different in terms of the
strength of the relationship of journal performance metrics, although the actual
relationships are nevertheless very similar. Moreover, the Journal Influence and
Article Influence metrics are shown to be closely related empirically to the two
existing ISI metrics, so that they add little to what is already known about journal
impact. These empirical results are compared with existing results in the literature.
The plan of the remainder of the paper is as follows. Section 2 presents four key
research assessment measures (RAM), namely the 2-year impact factor (2YIF) of

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Subject- Finance Topic-?Journal Impact Factor, Eigenfactor,?Journal Influence and Article Influence? University name- UNIVERSITY OF CANTERBURY? Introduction Evaluating research quality is fundamental to the Sciences and Social Sciences. Research assessment rankings are essential to evaluate the research performance of individuals and the quality of academic journals. The perceived research performance of individual researchers is crucial for hiring, firing, tenure and promotion decisions. In the absence of clear signals re-garding the inherent, and frequently latent, quality of research, the perceived quality of a journal may frequently be used as a proxy, albeit inappropriately, for the quality of a research paper. Most journal performance metrics are based on alternative transformations of citations and journal influence. The Thomson Reuters ISI Web of Science database [16] (hereafter ISI) is a leading high quality database for generating research assessment measures, especially citations, to evaluate the research performance of individual researchers and the quality of academic journals. Although there are caveats regarding the methodology and data collection methods underlying any database (see, for example, Seglen [18], Chang and McAleer [6, 7, 8, 9, 10, 11] for caveats regarding ISI), the ISI citations database is the oldest source of rankings criteria and the benchmark against which other databases are compared. This paper exami ...
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