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Ranking the Leading Journals in Finance and Accounting Based on Quantity and Quality Citations
Published:
14 January 2015
by MDPI
in 1st Electronic Conference of MDPI Editors-in-Chief
session Measuring Research
Abstract: The perceived quality and impact of academic journals are important in evaluating the perceived research performance of individual researchers for hiring, tenure and promotion decisions.Rightly or wrongly, such perceived journal quality and impact are typically used as a proxy for the quality of an academic paper, as publication in a highly regarded journal is seen as imparting an important signal regarding the purported quality of the published paper. This presentation is based on Chang, C.-L and M. McAleer (2014),"Just how good are the top three journals in finance? An assessment based on quantity and quality citations", Annals of Financial Economics, 9(1), 2014, 1-31.
Keywords: metrics, impact factor, finance and accounting
Comments on this paper
Martyn Rittman
20 January 2015
Correlations
Mike - thanks for the presentation.
I find the correlations in Table 3 (slide 32) very interesting. One that catches my eye is that PI-BETA (% of papers not cited) doesn’t correlate particularly well with 2 year impact factor. This is consistent with the view that IF can be heavily influenced by a few very highly-cited paper.
The way research generally happens is many small steps with just a few giant leaps forward. If this is reflected in the citation data, perhaps IF does a good job of spotting journals with larger numbers of high impact papers (plus some contribution from the other papers). There seems little a journal editor can do to influence this, apart from cutting out obviously incremental papers. Trying to identify high-flying papers from the outset is a dangerous task that risks rejecting perfectly good papers that are the bread and butter of research endeavour.
I find the correlations in Table 3 (slide 32) very interesting. One that catches my eye is that PI-BETA (% of papers not cited) doesn’t correlate particularly well with 2 year impact factor. This is consistent with the view that IF can be heavily influenced by a few very highly-cited paper.
The way research generally happens is many small steps with just a few giant leaps forward. If this is reflected in the citation data, perhaps IF does a good job of spotting journals with larger numbers of high impact papers (plus some contribution from the other papers). There seems little a journal editor can do to influence this, apart from cutting out obviously incremental papers. Trying to identify high-flying papers from the outset is a dangerous task that risks rejecting perfectly good papers that are the bread and butter of research endeavour.
Alex Grayson
11 October 2018
thanks
I remember when one of the CEOs of a failed company was in front of Congress and kept insisting for his defense that he was not an accountant.
Yet no one took him up on it. The first thing Iearned in accounting was, like you mentioned and as I learnt in my accounting hw, that it is the language of business.
I would have asked him how he had risen to the top of a large comppany wothout being ablle to speak the language. It would have been the same as if the chair of the Department of English Literature at Harvard could not speak English!
Yet no one took him up on it. The first thing Iearned in accounting was, like you mentioned and as I learnt in my accounting hw, that it is the language of business.
I would have asked him how he had risen to the top of a large comppany wothout being ablle to speak the language. It would have been the same as if the chair of the Department of English Literature at Harvard could not speak English!
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