Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44370
Title: Correlations between submission and acceptance of papers in peer review journals
Authors: Ausloos, Marcel
Nedič, Olgica
Dekanski, Aleksandar
First Published: 23-Feb-2019
Publisher: Springer Verlag (Germany), Akadémiai Kiadó
Citation: Scientometrics, 2019, 119: 279.
Abstract: This paper provides a comparative study about seasonal influence on editorial decisions for papers submitted to two peer review journals. We distinguish a specialized one, the Journal of the Serbian Chemical Society (JSCS) and an interdisciplinary one, Entropy. Dates of electronic submission for about 600 papers to JSCS and 2500 to Entropy have been recorded over 3 recent years. Time series of either accepted or rejected papers are subsequently analyzed. We take either editors or authors view points into account, thereby considering magnitudes and probabilities. In this sample, it is found that there are distinguishable peaks and dips in the time series, demonstrating preferred months for the submission of papers. It is also found that papers are more likely accepted if they are submitted during a few specific months—these depending on the journal. The probability of having a rejected paper also appears to be seasonally biased. In view of clarifying reports with contradictory findings, we discuss previously proposed conjectures for such effects, like holiday effects and the desk rejection by editors. We conclude that, in this sample, the type of journal, specialized or multidisciplinary, seems to be the drastic criterion for distinguishing the outcomes rates.
DOI Link: 10.1007/s11192-019-03026-x
ISSN: 0138-9130
eISSN: 1588-2861
Links: https://link.springer.com/article/10.1007%2Fs11192-019-03026-x
http://hdl.handle.net/2381/44370
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, School of Management

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