Citations¶
CitationExplorer traverses the citation graph around a paper: the papers that
cite it, the papers it references, and the canonical (most-cited) papers in a
field. It is an async context manager and returns
CitationResult objects.
from opencite import Config
from opencite.citations import CitationExplorer
async with CitationExplorer(Config.from_env()) as explorer:
citing = await explorer.citing_papers("10.1038/nature12345", max_results=20)
refs = await explorer.references("10.1038/nature12345")
landmarks = await explorer.canonical_papers("deep learning", min_citations=5000)
CitationExplorer ¶
Explores citation graphs and finds canonical papers.
Honors config.disabled_sources: a disabled source's client is never
constructed, so its rate budget isn't touched and its async failures
can't slow down the parallel gather. Disabling both openalex and
s2 leaves nothing to query and raises at construction time.
Usage::
async with CitationExplorer(config) as explorer:
result = await explorer.citing_papers("10.1038/s41586-021-03819-2")
for paper in result.papers:
print(paper.title)
Source code in src/opencite/citations.py
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citing_papers
async
¶
citing_papers(
identifier: str,
max_results: int = 50,
sort: str = "citations",
min_citations: int = 0,
) -> CitationResult
Find papers that cite the given paper.
Source code in src/opencite/citations.py
references
async
¶
references(
identifier: str, max_results: int = 50
) -> CitationResult
Find papers referenced by the given paper.
Source code in src/opencite/citations.py
canonical_papers
async
¶
canonical_papers(
query: str,
max_results: int = 10,
year_from: int | None = None,
min_citations: int = 100,
) -> list[Paper]
Find the most-cited papers in a field.
Uses OpenAlex sorted by citation count descending. Raises
RuntimeError if openalex is disabled, since no other source
in the explorer can substitute.