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Intrinsic Interleaving Distance for Merge Trees

La Matematica(2024)10.1007/s44007-024-00143-9Source: DataRank Database

Intrinsic Interleaving Distance for Merge Trees is a research paper published in La Matematica (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 2.27)OA: greenTopics (27)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Elizabeth Munch ORCID,Steve Oudot ORCID,Katharine Turner ORCID,Bei Wang ORCID,Yusu Wang ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4405441623

National Science Foundation

Grant: CMMI-1800466

National Science Foundation

Grant: DMS-1800446

National Science Foundation

Grant: CCF-1907591

Australian Research Council

Grant: ARC Discovery Early Career fellowship

U.S. Department of Energy

Grant: DE-SC0021015

National Science Foundation

Grant: IIS-1513616

National Science Foundation

Grant: DBI-1661375

National Institutes of Health

Grant: R01EB022876

National Institutes of Health

Grant: CCF-1740761

National Institutes of Health

Grant: DMS-1547357

National Institutes of Health

Grant: R01EB022899

National Institutes of Health

Grant: 5R01EB022899-02

"Methods from Computational Topology and Geometry for Analysing Neuronal Tree and Graph Data"

National Science Foundation

Grant: 1800446

CDS&E: Collaborative Research: Machine Learning on Dynamical Systems via Topological Features

National Science Foundation

Grant: 1907591

AF: Small: Collaborative Research: Reeb graph flows: Metrics, Drawings, and Analysis

National Science Foundation

Grant: 1740761

TRIPODS: Topology, Geometry, and Data Analysis (TGDA@OSU):Discovering Structure, Shape, and Dynamics in Data

National Institutes of Health

Grant: 5R01EB022876-02

Beyond Diagnostic Classification of Autism: Neuroanatomical, Functional, and Behavioral Phenotypes

National Science Foundation

Grant: 1513616

III: Medium: Collaborative Research: Topological Data Analysis for Large Network Visualization

National Science Foundation

Grant: 1800466

Collaborative Research: A Unified Framework for the Investigation of Time Series Using Topological Data Analysis

FWCI

2.27

Citation Percentile

0.9%

Citation Trend

2025

greenLicense: cc-by

repositoryhttps://inria.hal.science/hal-02425600

publisherhttps://link.springer.com/content/pdf/10.1007/s44007-024-00143-9.pdf

publisherhttps://link.springer.com/article/10.1007/s44007-024-00143-9/fulltext.html

journalhttps://doi.org/10.1007/s44007-024-00143-9

Fields of Study

Topological and Geometric Data Analysis02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

InterleavingMerge (version control)Metric spaceComputer scienceMerge algorithmTheoretical computer scienceMathematicsAlgorithmDiscrete mathematicsInformation retrievalComputational Geometry (cs.CG)FOS: Computer and information sciencesGraph operations (line graphs, products, etc.)Computational Geometry[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Computing methodologies for image processing004topological data analysis[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Algebraic Topologymerge treeFOS: MathematicsAlgebraic Topology (math.AT)interleaving distance