In Berlin, researchers now face a stark choice: publish or perish, as the pressure to produce scientific papers intensifies with the rise of artificial intelligence.
The mantra „publish or perish“ has long governed academic careers, where publication counts serve as the primary metric for success, much like social media likes for influencers. This system has led to an overwhelming flood of studies, many of which contribute little to scientific progress and some of which are outright fraudulent or plagiarized. Rainer Lange, head of research at the German Science Council, warns that while valuable top-tier publications still exist, the growing tail of irrelevant studies threatens to undermine the credibility of science itself.
The situation has worsened in the past one to two years due to AI tools that enable researchers to generate papers with minimal effort. Tobias Grimm, head of life sciences at the German Research Foundation (DFG), notes that scientists are struggling to keep up with the deluge in their fields. Global scientific output has risen by about five percent annually since 1952 — far outpacing the growth in the number of researchers — and AI is accelerating this trend further.
Success in science is increasingly tied to publishing in high-impact journals, measured by the Journal Impact Factor (JIF), which reflects how often articles from a journal are cited. Journals like Science and Nature, with high JIF scores, are especially coveted. This demand has fueled a costly shift: as criticism grew over expensive subscription models that burdened libraries and institutions, the open access movement emerged around the turn of the millennium. Under this model, journals make articles freely available online but charge authors — often several thousand euros per paper, and more than 12,000 euros for top-tier journals, according to psychologist Gerd Gigerenzer of the Max Planck Institute for Educational Research in Berlin.
How the publish-or-perish culture enables low-quality research
The pressure to publish drives researchers to prioritize quantity over rigor, exploiting loopholes in the system. Investigations have shown that some scholars artificially inflate their publication counts through salami-slicing — dividing single studies into multiple papers — or by using AI to generate text with minimal human input. These practices clog the scientific record and make it harder for genuine breakthroughs to be noticed.
Why open access has not solved the underlying incentives
Although open access was intended to democratize knowledge, it has introduced recent financial pressures on researchers, who must now pay to publish. This shift has not reduced the volume of low-quality output; instead, it has created a market where pay-to-publish models can be exploited by predatory journals. The core issue remains: career advancement still depends on publication counts, not the quality or reproducibility of the perform.
What is the main driver behind the rise in low-quality scientific publications?
The main driver is the publish-or-perish culture, where researchers are evaluated primarily on the number of papers they produce, incentivizing quantity over scientific rigor.
How has artificial intelligence affected scientific publishing trends?
AI has accelerated the production of low-effort contributions, enabling researchers to generate papers more quickly and exacerbating the existing oversupply of studies in the scientific literature.
