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Correlations between submission and acceptance of papers in peer review journals

Author

Listed:
  • Marcel Ausloos

    (University of Leicester
    Group of Researchers for Applications of Physics in Economy and Sociology (GRAPES))

  • Olgica Nedič

    (University of Belgrade)

  • Aleksandar Dekanski

    (University of Belgrade)

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.

Suggested Citation

  • Marcel Ausloos & Olgica Nedič & Aleksandar Dekanski, 2019. "Correlations between submission and acceptance of papers in peer review journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 279-302, April.
    • Handle: RePEc:spr:scient:v:119:y:2019:i:1:d:10.1007_s11192-019-03026-x
    DOI: 10.1007/s11192-019-03026-x
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    References listed on IDEAS

    as
    1. Maciej J Mrowinski & Piotr Fronczak & Agata Fronczak & Marcel Ausloos & Olgica Nedic, 2017. "Artificial intelligence in peer review: How can evolutionary computation support journal editors?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-11, September.
    2. Cătălin Emilian Boja & Claudiu Herţeliu & Marian Dârdală & Bogdan Vasile Ileanu, 2018. "Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 887-918, November.
    3. Rotundo, Giulia, 2014. "Black–Scholes–Schrödinger–Zipf–Mandelbrot model framework for improving a study of the coauthor core score," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 296-301.
    4. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar & Mrowinski, Maciej J. & Fronczak, Piotr & Fronczak, Agata, 2017. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals. II. An ARCH econometric-like modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 462-474.
    5. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar, 2016. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 197-203.
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    Cited by:

    1. Liang Meng & Haifeng Wang & Pengfei Han, 2020. "Getting a head start: turn-of-the-month submission effect for accepted papers in management journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2577-2595, September.

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