David I Shuman

Macalester College

H-index: 20

North America-United States

About David I Shuman

David I Shuman, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Macalester College, specializes in the field of data science, signal processing on graphs, stochastic control.

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

Graph filters for signal processing and machine learning on graphs

Graph Signal Processing: History, development, impact, and outlook

Signal processing on the permutahedron: tight spectral frames for ranked data analysis

Spectrum-adapted polynomial approximation for matrix functions with applications in graph signal processing

Localized spectral graph filter frames: A unifying framework, survey of design considerations, and numerical comparison

David I Shuman Information

University	Macalester College
Position	Associate Professor of Mathematics Statistics and Computer Science
Citations(all)	6618
Citations(since 2020)	4326
Cited By	4182
hIndex(all)	20
hIndex(since 2020)	17
i10Index(all)	24
i10Index(since 2020)	20
Email	Access Email
University Profile Page	Macalester College
Google Scholar	View Google Scholar Profile

David I Shuman Skills & Research Interests

data science

signal processing on graphs

stochastic control

Top articles of David I Shuman

Title	Journal	Author(s)	Publication Date
Graph filters for signal processing and machine learning on graphs	IEEE Transactions on Signal Processing	Elvin Isufi Fernando Gama David I Shuman Santiago Segarra	2024/1/10
Graph Signal Processing: History, development, impact, and outlook	IEEE Signal Processing Magazine	Geert Leus Antonio G Marques José MF Moura Antonio Ortega David I Shuman	2023/6/8
Signal processing on the permutahedron: tight spectral frames for ranked data analysis	Journal of Fourier Analysis and Applications	Yilin Chen Jennifer DeJong Tom Halverson David I Shuman	2021/8
Spectrum-adapted polynomial approximation for matrix functions with applications in graph signal processing	Algorithms	Tiffany Fan David I Shuman Shashanka Ubaru Yousef Saad	2020/11/13
Localized spectral graph filter frames: A unifying framework, survey of design considerations, and numerical comparison	IEEE Signal Processing Magazine	David I Shuman	2020/10/29