Eduard Petiška

Researcher (Charles University, Prague) whose 2023 single-author preprint, "ChatGPT cites the most-cited articles and journals, relying solely on Google Scholar's citation counts," reported that GPT-4, asked to write literature-review introductions, selected references almost entirely by raw citation count rather than relevance or recency — the finding this vault's Matthew-effect-in-LLMs cluster is built around.

Matters to this vault as the anchor of an entire cluster: his single, non-peer-reviewed 2023 finding turned out to be the missing middle term between Garfield's decades-old warning against citation-count-as-quality-proxy and the vault's reliability-aware-RAG research, and has since been independently replicated twice, by different author groups using different citation databases and fields.

References

• claim-petiska-2023-chatgpt-cites-by-google-scholar-count-perpetuates-matthew-effect
• observation-petiska-chatgpt-matthew-effect-bridges-garfield-warning-and-rag-reliability
• observation-petiska-matthew-effect-finding-independently-replicated-by-algaba-and-naser