New head of one of the world’s oldest universities organized a citation cartel

Prevalence and Ethics of Citation Cartels

  • Some commenters claim forced or reciprocal citation practices are widespread; others with long academic careers insist they have never seen anything as blatant as the cartel described.
  • Broad agreement that “citation cartels” and coercive self‑citation are unethical; debate over whether they count as formal “fraud” versus rule‑bending in a system with vague ethics codes.
  • Several distinguish normal within‑field citation and co‑author networks from coercive, irrelevant, or cross‑field citations done purely to boost metrics.

Why This Behavior Is Tolerated

  • Institutional incentives: citations improve metrics (h‑index, impact), which help with promotion, prestige, and grant funding; universities also benefit financially from successful grant‑getters.
  • Mid‑tier or low‑ranked universities may be especially tempted to embrace “high‑impact” researchers regardless of how that impact is produced.
  • Enforcement is costly: systematically checking citations for every researcher is seen as infeasible; subtle abuses (e.g., mandatory lab‑head authorship) are nearly impossible to police.
  • Some see pervasive low‑level misconduct in academia, creating a “glass house” where few want to throw stones.

University Governance and the Rector Election

  • The rector reportedly ran unopposed following an unusual resignation and won with support from a small fraction of eligible voters; many cast blank ballots in protest.
  • Commenters link this to structural issues: administrative roles are undesirable, so good candidates avoid them, leaving space for ambitious opportunists.
  • Blank‑ballot protest is criticized as ineffective when election rules do not invalidate such outcomes.

Metrics, Detection, and Technical Fixes

  • Many criticize overreliance on citation‑based metrics for hiring and promotion.
  • Proposals include: citation‑clique detection, down‑ranking suspicious clusters, and using AI or graph analysis to flag irrelevant or reciprocal citations.
  • Others argue clique vs. genuine niche community is hard to distinguish; naive graph metrics would yield many false positives and still require human judgment.

Broader Reflections on Academia and Power

  • Strong cynicism about academic culture: references to papermills, bought affiliations, coercive authorship, and politicized internal power struggles.
  • Counter‑voices stress that egregious cases are a small minority; academia is not uniquely corrupt compared to corporate leadership, but incentives and dependency (especially for grad students) make abuses painful.
  • Some argue the real problem is institutional and political—how power and prestige are allocated—rather than lack of algorithms to spot bad behavior.