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Topological and Geometric Data Analysis

TopicLeading institutions, researchers & key papers

Topological and Geometric Data Analysis is a topic indexed in ScholarIQ from OpenAlex.

What is known about Topological and Geometric Data Analysis?

ScholarIQrecord summary

This cluster of papers focuses on the application of topological data analysis in various scientific and engineering domains. It covers topics such as persistent homology, shape analysis, statistical topology, machine learning, and spatial data.

How many works does Topological and Geometric Data Analysis have?

ScholarIQindexed works

Topological and Geometric Data Analysis has 41,393 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Topological and Geometric Data Analysis have?

ScholarIQcitation count

Topological and Geometric Data Analysis has 274,610 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Topological and Geometric Data Analysis?

ScholarIQopenalex

The OpenAlex for Topological and Geometric Data Analysis is on the source record.

Who are the most-cited researchers behind Topological and Geometric Data Analysis?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Karl Friston · Neural dynamics and brain function
1,961 works306,828 citations
3
Jitendra Malik · Advanced Vision and Imaging
664 works168,423 citations
4
David L. Donoho · Image and Signal Denoising Methods
318 works152,881 citations
5
Bernhard Schölkopf · Neural Networks and Applications
1,460 works147,943 citations

Where is Topological and Geometric Data Analysis research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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