What was supposed to guide science ended up directing it the wrong way. By counting, evaluating, classifying, the tools supposed to serve rigor have generated their own excesses. Behind the articles published in series another, more opaque reality emerges, where fraud in scientific publications is no longer the exception but a well-established mechanism.
When numerical evaluation deviates from research
The academic world had placed a lot of hope in numerical indicators supposed to measure the impact of an article or the reputation of a journal. This promise of objectivity has turned into a trap. The study relayed by SciTechDaily reveals that the quality of scientific work is sometimes overshadowed by the sole value of its bibliometric score. Increased pressure to publish quickly and frequently encourages some researchers to artificially inflate their results. Private companies impose their rankings globally and create powerful incentives to manipulate metrics.
These tools were designed to simplify evaluation, yet they do not apply well to disciplines like mathematics where publication rates are slower and citation networks are less dense. The authors of the study published on arXiv point out that these figures are easily manipulated and that they make researchers vulnerable to excesses that they no longer control. Institutions, keen to progress in international rankings, unwittingly reinforce this inflation of articles without real scientific content. The result is already visible. Thousands of jobs exist to populate Excel tables and not to answer fundamental questions.
This mechanism maintains a dependence on university rankings. It modifies financing strategies and increases pressure on the most fragile teams. It also pushes young scientists to favor the quantity rather than the solidity of their results. This shift, initially discreet, became massive enough to shake up scientific culture as a whole.
How fraud in scientific publications is organized
The investigation describes a mature, structured and international fraud. The phenomenon goes beyond simple isolated authors. It involves anonymous brokers who sell quotes, offer pre-written articles, or promise to get their clients into dubious journals. This parallel economy operates in broad daylight. Practices are becoming standardized, to the point of competing with traditional publication circuits.
Megajournals now play a major role in this mechanism. Their operation is based on author fees for each validated article. On average, their annual output exceeds that of the most respected mathematics journals. However, their level of requirements remains low. Thus, erroneous, hollow or artificially generated texts can appear there without difficulty. This content is then found in academic databases. Little by little, the line between rigorous research and industrial production of scientific paper becomes blurred.
Some cases stand out. A ranking published by Clarivate in 2019 identified a Taiwanese university (Taipei Medical University) which had the most researchers in mathematics among establishments which did not even offer training in this discipline. This type of error shows how degraded metrics can generate massive anomalies and influence funding or recruitment policies.
The authors of the report also denounce cartel citations. Groups of authors, journals or publishers exchange citations to artificially inflate their visibility indices. Naive research puts these articles on an equal footing with authentic work, which confuses researchers and complicates the selection of reliable results. The risk becomes easy to understand. Relying on these publications weakens any new mathematical demonstration built on unstable foundations.
The consequences on science and the ways out of them
This operation causes immense waste. Researchers waste precious time filtering out uninteresting publications. Sometimes they have to verify questionable results. For their part, institutions rely on bad criteria and use misleading metrics. Little by little, public confidence is weakening. It becomes difficult to spot the truth in a mass of opaque articles. Even mathematics is not immune to the phenomenon. Some publish false demonstrations in predatory journals. Their work exists, in fact, but in reality has no real scientific legitimacy.
The report offers a clear path to change practices. He suggests gradually moving away from commercial rankings. This particularly concerns recruitment and financing decisions. In addition, he invites institutions to favor qualitative criteria rather than private figures. It also encourages researchers to check journals before submission. Examining editorial boards becomes essential. Being wary of questionable requests is just as important.
The study also emphasizes the need for cultural change. Science must restore value to slowness, careful proofreading and rigorous selection of journals. It must recognize the risks posed by predatory journals and the commodification of citations. International associations like the IMU and the ICIAM are calling for collective mobilization which begins with increased vigilance and enhanced transparency in editorial practices.
This movement is already taking shape. It is based on more human evaluations, on individual responsibility and on the desire to clean up publication circuits so that research regains its primary role. Science can only progress if its foundations remain solid and understandable. It must choose quality rather than the accumulation of figures and find a compass that does not depend on opaque metrics.
With an unwavering passion for local news, Christopher leads our editorial team with integrity and dedication. With over 20 years’ experience, he is the backbone of Wouldsayso, ensuring that we stay true to our mission to inform.
