run-llama/llama_index: papers linking to it

GitHub · 52,785 stars · 8,501 forks · Python · license MIT · created 2022 · github.com/run-llama/llama_index

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to run-llama/llama_index (https://github.com/run-llama/llama_index), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the GitHub repository run-llama/llama_index in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (2) and Higher Education and Research (1); the journals with the most are Expert Systems with Applications (1), Computers and Education Artificial Intelligence (1) and Information Fusion (1).

By year#

20252026

Papers linking to run-llama/llama_index by publication year
Year	Papers
2025	1
2026	2

Journals#

Journals whose papers link to run-llama/llama_index most
Journal	Papers
Expert Systems with Applications	1
Computers and Education Artificial Intelligence	1
Information Fusion	1

Papers linking to run-llama/llama_index, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-10-22	LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures	Information Fusion	Amine Ben Hassouna, Hana Chaari, Ines Belhaj	9	cites it
2026-07-29	A scoping review of generative AI-powered agentic AI in education: Research landscape, agentic capabilities, and insights from the frontier agent paradigm, exemplified by OpenClaw	Computers and Education Artificial Intelligence	Ningxia Wang, Di Zou, Haoran Xie et al.	3	cites it
2026-02-04	OntoLLM: Enhancing LLM grounding and digression prevention with ontologies and knowledge graphs	Expert Systems with Applications	Pruthvi Raj Venkatesh, P. Radha Krishna	1	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). run-llama/llama_index: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-run-llama-llama-index

@misc{scholar4ai-code-github-run-llama-llama-index,
  author = {{Scholar4AI}},
  title = {run-llama/llama_index: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-run-llama-llama-index}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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