The definition of journal acceptance rate is the percentage of all articles submitted to Nonlinear Analysis: Hybrid Systems that was accepted for publication. The acceptance rate of Nonlinear Analysis: Hybrid Systems is still under calculation. Have you ever submitted your manuscript to Nonlinear Analysis: Hybrid Systems? Share with us!

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The acceptance rate for an academic journal is dependent upon the relative demand for publishing in a particular journal, the peer review processes in place, the mix of invited and unsolicited submissions, and time to publication, among others. As such, it may be a proxy for perceived prestige and demand as compared to availability. However, locating acceptance rates for individual journals or for specific disciplines can be difficult, yet is necessary information for promotion and tenure activities. Journals with lower article acceptance rates are frequently considered to be more prestigious and more “meritorious”. As an internal benchmark, most journals will not publish their acceptance rates on their website. From their perspective, a consistently low acceptance rate may prove to be a deterrent to future submissions. Moreover, the method of calculating acceptance rates varies among journals. Some journals use all manuscripts received as a base for computing this rate. Other journals allow the editor to choose which papers are sent to reviewers and calculate the acceptance rate on those that are reviewed that is less than the total manuscripts received. Also, many editors do not maintain accurate records on this data and provide only a rough estimate.

Journal Acceptance Rate Feedback System provides an open, transparent, and straightforward platform to help academic researchers support informed decisions through the wisdom of crowds. Academic Accelerator displays the exact community-driven data without secret algorithms, hidden factors, or systematic delay. Let us improve the transparency of peer-review process together!



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  • Article Volume 2018 86
  • Article Volume 2017 74
  • Article Volume 2016 54
  • Article Volume 2015 43


  • ISSN
  • 1751570X
  • Open Access
  • Publisher
  • Elsevier BV
  • Country/Region
  • Netherlands
  • History
  • Categories
  • Analysis (Q1), Computer Science Applications (Q1), Control and Systems Engineering (Q1)