Causality

2009 · Cambridge University Press eBooks · 11,477 citations · 7 from inside this corpus

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.

7 of 7 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

Paper	Year	Cited
The Elements of Statistical Learning: Data Mining, Inference, and Prediction	2010	12,807
A few useful things to know about machine learning	2012	3,338
Relational inductive biases, deep learning, and graph networks	2018	2,406
Robust causal inference using directed acyclic graphs: the R package ‘dagitty’	2016	2,339
On the Opportunities and Risks of Foundation Models	2021	2,265
The max-min hill-climbing Bayesian network structure learning algorithm	2006	1,862
Causability and explainability of artificial intelligence in medicine	2019	1,851

Links

DOI · OpenAlex record

Topics

Cognitive Science and Mapping

Computer 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.

supports1 author record(s) attached.
weakensNo references are recorded despite 11,477 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…