David Gleich

David Gleich

Purdue University

H-index: 41

North America-United States

About David Gleich

David Gleich, With an exceptional h-index of 41 and a recent h-index of 31 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Large scale matrix computations, Network computations, Google's PageRank.

His recent articles reflect a diverse array of research interests and contributions to the field:

Better than best low-rank approximation with the singular value decomposition

Theoretical bounds on the network community profile from low-rank semi-definite programming

A Cheeger Inequality for Size-Specific Conductance

Flow-based algorithms for improving clusters: A unifying framework, software, and performance

Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions

Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods

Topological structure of complex predictions

Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple

David Gleich Information

University

Position

___

Citations(all)

7986

Citations(since 2020)

4980

Cited By

5320

hIndex(all)

41

hIndex(since 2020)

31

i10Index(all)

95

i10Index(since 2020)

79

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

David Gleich Skills & Research Interests

Large scale matrix computations

Network computations

Google's PageRank

Top articles of David Gleich

Title

Journal

Author(s)

Publication Date

Better than best low-rank approximation with the singular value decomposition

arXiv preprint arXiv:2402.18427

David F Gleich

2024/2/28

Theoretical bounds on the network community profile from low-rank semi-definite programming

Yufan Huang

C Seshadhri

David F Gleich

2023/7/3

A Cheeger Inequality for Size-Specific Conductance

arXiv preprint arXiv:2303.11452

Yufan Huang

David F Gleich

2023/3/20

Flow-based algorithms for improving clusters: A unifying framework, software, and performance

SIAM Review

Kimon Fountoulakis

Meng Liu

David F Gleich

Michael W Mahoney

2023

Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions

arXiv preprint arXiv:2312.17351

Omar Eldaghar

Michael W Mahoney

David F Gleich

2023/12/28

Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods

arXiv preprint arXiv:2310.13792

Yufan Huang

David F Gleich

Nate Veldt

2023/10/20

Topological structure of complex predictions

Nature Machine Intelligence

Meng Liu

Tamal K Dey

David F Gleich

2023/12

Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple

SIAM Journal on Matrix Analysis and Applications

Charles Colley

Huda Nassar

David F Gleich

2023/9/30

A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings

Journal of Applied and Computational Topology

Disha Shur

Yufan Huang

David F Gleich

2023/7/21

Aligning Spatially Constrained Graphs

IEEE Transactions on Knowledge and Data Engineering

Vikram Ravindra

Huda Nassar

David F Gleich

Ananth Grama

2022/9/15

Estimating statewide carrying capacity of bobcats (Lynx rufus) using improved maximum clique algorithms

Landscape Ecology

Landon R Jones

Robert K Swihart

David F Gleich

Geriann Albers

Scott A Johnson

...

2022/9

Adaptive erasure coded fault tolerant linear system solver

ACM Transactions on Parallel Computing

Xuejiao Kang

David F Gleich

Ahmed Sameh

Ananth Grama

2021/12/8

Strongly local hypergraph diffusions for clustering and semi-supervised learning

Meng Liu

Nate Veldt

Haoyu Song

Pan Li

David F Gleich

2021/4/19

Higher-order network analysis takes off, fueled by classical ideas and new data

arXiv preprint arXiv:2103.05031

Austin R Benson

David F Gleich

Desmond J Higham

2021/3/8

Scalable algorithms for multiple network alignment

SIAM Journal on Scientific Computing

Huda Nassar

Georgios Kollias

Ananth Grama

David F Gleich

2021

A Simple Study of Pleasing Parallelism on Multicore Computers

Parallel Algorithms in Computational Science and Engineering

Yanfei Ren

David F Gleich

2020

Current possibilities and future opportunities for erasure coded computations

David F Gleich

Ananth Grama

2020/12/9

Neighborhood and PageRank methods for pairwise link prediction

Social Network Analysis and Mining

Huda Nassar

Austin R Benson

David F Gleich

2020/12

Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering

Advances in neural information processing systems

Meng Liu

David F Gleich

2020

Parameterized correlation clustering in hypergraphs and bipartite graphs

Nate Veldt

Anthony Wirth

David F Gleich

2020/8/23

See List of Professors in David Gleich University(Purdue University)

Co-Authors

H-index: 147
Jure Leskovec

Jure Leskovec

Stanford University

H-index: 75
Michael Mahoney

Michael Mahoney

University of California, Berkeley

H-index: 57
Amin Saberi

Amin Saberi

Stanford University

H-index: 41
C. Seshadhri

C. Seshadhri

University of California, Santa Cruz

H-index: 32
Paul G. Constantine

Paul G. Constantine

University of Colorado Boulder

H-index: 31
Austin R Benson

Austin R Benson

Cornell University

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