---
title: "Eduard Petiška"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Eduard Petiška"
aliases: ["Eduard Petiska","E. Petiska"]
first_seen: "2026-09-13T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["Matthew effect","citation metrics","Google Scholar","large language models","Eugene Garfield"]
seek_code_commit: "7d6d9ed"
---


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 [[entity-eugene-garfield|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]]