---
title: "Sina Alemohammad"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Sina Alemohammad"
aliases: []
first_seen: "2026-09-14T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["Matthew effect","citation metrics","algorithmic monoculture","model collapse","large language models"]
seek_code_commit: "546fa57"
---


Corresponding author of "When AI Writes, Who Gets Cited? Evidence of
Citation Monoculture Across Language Models" (arXiv 2608.19230, 2026), a
twelve-round recursive citation-selection benchmark built with Denghui
Zhang, Bolong Tang, Anthony Qin, Gengchen Mai, Ahmed Abbasi, Richard
Baraniuk, and Zhangyang Wang.

Matters to this vault as the author of the first located study to measure
what happens to citation-popularity concentration under *repeated*
selection: real-paper citation share intensifies through dilution of the
candidate pool as AI-generated papers accumulate, even as the cross-vendor
"monoculture" behind the original bias collapses once the papers being
judged are themselves AI-generated — extending, without fully resolving,
the [[entity-eduard-petiska|Petiška]]/[[entity-andres-algaba|Algaba]]/[[entity-mz-naser|Naser]]
citation-popularity-bias cluster into a recursive setting.

## References
- [[claim-alemohammad-2026-recursive-citation-benchmark-dilution-concentrates-attention]]
- [[claim-alemohammad-2026-cross-vendor-citation-monoculture-collapses-under-recursion]]
- Capture: 10-inbox/raw/2026-09-14-does-llm-citation-popularity-bias-measurably-compound-across.md