Publish and Who Should Perish: You or Science?
Open accessAbstract
Something is wrong with science as there is an increasing amount of unreliable, manipulated and outright faked results appearing in the literature. Here I argue that this is a direct consequence of the pay-structure and the assessment system employed in academia and it could be remedied by changing hiring, advancement, and funding criteria. Scientists are paid below average relative to their level of education, unless they are at the top or can secure grants that allow for higher salaries. Positions and grants are mostly awarded based on bibliometric numbers. Consequently, there is a strong competition to accumulate numbers of papers, impact factors, and citations. Those who can increase their value efficiently will be rewarded and the accumulation of higher values will become easier (the Matthew effect). Higher bibliometric numbers can be obtained by unethical or questionable practices, which might tempt some people. If assessments did not employ bibliometric numbers, then these practices would not have a benefit, and would fade out. Throughout the text, data from Hungary, which are similar to data from elsewhere, supplement the argument.
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The 'publish or perish' attitude stimulates productivity of researchers but creates a bias towards quantity, often overlooking quality.
“this 'publish or perish' attitude, on the one hand, stimulates the productivity of researchers, but, on the other, creates a bias towards quantity, often overlooking quality [2,3,6-8,44,81,163,260,263,284-288].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [8]
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- Authors
- Kun, Á.
- Affiliations
- Eötvös Loránd University (HU)
- Corresponding author
- Kun, Ádám
- ORCID
- Kun, Ádám
- Venue
- Publications
- Publisher
- MDPI AG
- Published
- 2018-04-23
- Volume
- 6
- Issue
- 2
- Pages
- 18
- ISSN
- 2304-6775 (ISSN-L)
- OpenAlex
- W2802511550
- Cited by
- 44
- References
- 72
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 9 · 2020: 6 · 2019: 9 · 2018: 2
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Publications (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) (submittedVersion, other-oa)
- Funders
- National Research, Development and Innovation Office (NKFIH) (K119347)
- Ministry for National Economy, Hungary (GINOP-2.3.2-15-2016-00057)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
- Keywords
- research integrity, publication bias, research misconduct, Matthew effect, bibliometric analysis, impact factor, citation metrics, research evaluation, research funding
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