Who Cited It

Scikit-learn: Machine Learning in Python

2011 · Journal of Machine Learning Research · 8,470 citations · 1 from inside this corpus

PedregosaFabian low, VaroquauxGaël low, GramfortAlexandre low, MichelVincent low, ThirionBertrand low, GriselOlivier low, BlondelMathieu low, PrettenhoferPeter low, WeissRon low, DubourgVincent low, VanderplasJake low, PassosAlexandre low, CournapeauDavid low, BrucherMatthieu low, PerrotMatthieu low, DuchesnayÉdouard low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Scikit-learn: Machine Learning in Python (2011)Scikit-learn: Machine Learnin…XGBoost (2016)XGBoost
1 of 1 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

PaperYearCited
XGBoost201652,304

Links

DOI · OpenAlex record

Topics

Computational Physics and Python ApplicationsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports16 author record(s) attached.
  • weakensNo references are recorded despite 8,470 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…