2026 Walter L. Ruzzo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	39	9494	9220	4021	3853	95	14511

Overview

Walter L. Ruzzo is affiliated with the University of Washington in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions in the subfields of Molecular Biology, Cancer Research, Artificial Intelligence, Surgery, and Genetics.

The scientist's work covers several main topics, including:

Bayesian Methods and Mixture Models
Genomics and Phylogenetic Studies
Gene expression and cancer classification
Pancreatic function and diabetes
Pluripotent Stem Cells Research
Genetic Syndromes and Imprinting
Cancer, Hypoxia, and Metabolism

Recent publications by Walter L. Ruzzo span a range of journals and research topics:

Metabolic Control over mTOR-Dependent Diapause-like State, 2020, Developmental Cell
Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities, 2020, Scientific Reports
Does rapid sequence divergence preclude RNA structure conservation in vertebrates?, 2022, Nucleic Acids Research
Polee: RNA-Seq analysis using approximate likelihood, 2021, NAR Genomics and Bioinformatics
Polee: RNA-Seq analysis using approximate likelihood, 2020, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated frequently with several researchers, including:

Daniel C. Jones
Abdiasis M. Hussein
Yuliang Wang
Julie Mathieu
Lilyana Margaretha

Walter L. Ruzzo's work has been published in a variety of scientific venues reflecting their interdisciplinary approach. These venues include:

Developmental Cell
Scientific Reports
Nucleic Acids Research
NAR Genomics and Bioinformatics
bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

Protection in operating systems

Michael A. Harrison;Walter L. Ruzzo;Jeffrey D. Ullman

1747
Citations
Principal component analysis for clustering gene expression data.

Ka Yee Yeung;Walter L. Ruzzo

1586
Citations
Model-based clustering and data transformations for gene expression data.

Ka Yee Yeung;Chris Fraley;Alejandro Murua;Adrian E. Raftery

1181
Citations
Validating clustering for gene expression data

Ka Yee Yeung;David R. Haynor;Walter L. Ruzzo

950
Citations
Limits to Parallel Computation: P-Completeness Theory

Raymond Greenlaw;H. James Hoover;Walter L. Ruzzo

773
Citations
The electrical resistance of a graph captures its commute and cover times

Ashok K. Chandra;Prabhakar Raghavan;Walter L. Ruzzo;Roman Smolensky

745
Citations
On uniform circuit complexity

Walter L. Ruzzo

619
Citations
Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming

Yi Cao;Zizhen Yao;Deepayan Sarkar;Michael Lawrence

548
Citations
The electrical resistance of a graph captures its commute and cover times

A. K. Chandra;P. Raghavan;W. L. Ruzzo;R. Smolensky

513
Citations
CMfinder---a covariance model based RNA motif finding algorithm

Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

457
Citations
MicroRNA Discovery and Profiling in Human Embryonic Stem Cells by Deep Sequencing of Small RNA Libraries

Merav Bar;Stacia K. Wyman;Brian R. Fritz;Junlin Qi

393
Citations
Tree-size bounded alternation

Walter L. Ruzzo

360
Citations
An Improved Context-Free Recognizer

Susan L. Graham;Michael Harrison;Walter L. Ruzzo

329
Citations
Improved gene selection for classification of microarrays.

Jochen Jaeger;Rimli Sengupta;Walter L. Ruzzo

272
Citations
Compression of next-generation sequencing reads aided by highly efficient de novo assembly

Daniel C. Jones;Walter L. Ruzzo;Xinxia Peng;Michael G. Katze

232
Citations
Space-bounded hierarchies and probabilistic computations

Walter L. Ruzzo;Janos Simon;Martin Tompa

188
Citations
Two applications of inductive counting for complementation problems

A. Borodin;S. A. Cook;P. W. Dymond;W. L. Ruzzo

180
Citations
A Linear Time Algorithm for Finding All Maximal Scoring Subsequences

Walter L. Ruzzo;Martin Tompa

159
Citations
A regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data.

Zizhen Yao;Walter L Ruzzo

157
Citations
Limits to parallel computation

Unknown

140
Citations
On protection in operating systems

Michael A. Harrison;Walter L. Ruzzo;Jeffrey D. Ullman

119
Citations
CMfinder—acovariancemodelbasedRNA motiffinding algorithm

Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

0
Citations

Frequent Co-Authors

Zizhen Yao Allen Institute for Brain Science

Martin Tompa University of Washington

Allan Borodin University of Toronto

Jan Gorodkin University of Copenhagen

Ronald R. Breaker Yale University

Stephen J. Tapscott Fred Hutchinson Cancer Research Center

Prabhakar Raghavan Google (United States)

Robert Gentleman Genentech

Paul Beame University of Washington

Jeffrey E. Barrick The University of Texas at Austin

External Links

Personal website of Walter L. Ruzzo

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