Finding scientific topics

Thomas L. Griffiths; Mark Steyvers

doi:https://doi.org/10.1073/pnas.0307752101

Finding scientific topics

2004 · Proceedings of the National Academy of Sciences · 6,082 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.

8 of 8 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

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

SciPy 1.0: fundamental algorithms for scientific computing in Python→Finding scientific topicsLegacy edge — source detail unavailable
SciPy 1.0: fundamental algorithms for scientific computing in Python→Finding scientific topicsLegacy edge — source detail unavailable
Software Framework for Topic Modelling with Large Corpora→Finding scientific topicsLegacy edge — source detail unavailable
Dynamic topic models→Finding scientific topicsLegacy edge — source detail unavailable
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey→Finding scientific topicsLegacy edge — source detail unavailable
Mixed Membership Stochastic Blockmodels.→Finding scientific topicsLegacy edge — source detail unavailable
Stochastic variational inference→Finding scientific topicsLegacy edge — source detail unavailable
Finding scientific topics→Foundations of statistical natural language processingLegacy edge — source detail unavailable
Stochastic variational inference→Dynamic topic modelsLegacy edge — source detail unavailable
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey→Dynamic topic modelsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Foundations of statistical natural language processing	1999	9,997

What cites it, inside the corpus

Paper	Year	Cited
SciPy 1.0: fundamental algorithms for scientific computing in Python	2020	39,642
SciPy 1.0: fundamental algorithms for scientific computing in Python	2019	11,588
Software Framework for Topic Modelling with Large Corpora	2010	3,809
Dynamic topic models	2006	2,414
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey	2018	1,924
Mixed Membership Stochastic Blockmodels.	2008	1,540
Stochastic variational inference	2013	1,480

Links

Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record

Topics

Advanced Text Analysis Techniques	Computer Science
Topic Modeling	Computer Science
Biomedical Text Mining and Ontologies	Biochemistry, Genetics and Molecular Biology

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports2 author record(s) attached.
supports12 reference(s) recorded.
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…