2026 Joseph L. Hellerstein: 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	58	3670	3567	1754	1691	213	11816

Overview

Joseph L. Hellerstein is affiliated with the University of Washington in the United States. Their research spans multiple disciplines with a primary focus on biochemistry, genetics, molecular biology, and computer science.

The scientist's research contributions include work in the following main fields of study:

Biochemistry, Genetics and Molecular Biology
Computer Science

Within these fields, they have contributed extensively to several subfields, such as:

Molecular Biology
Computer Networks and Communications
Computer Science Applications
Safety Research
Information Systems and Management

Their work covers a variety of topics, indicating interdisciplinary research areas including:

Gene Regulatory Network Analysis
Microbial Metabolic Engineering and Bioproduction
Bioinformatics and Genomic Networks
Mobile Crowdsensing and Crowdsourcing
Ethics and Social Impacts of AI
Scientific Computing and Data Management
Nonlinear Dynamics and Pattern Formation

Joseph L. Hellerstein has published in a range of venues, with frequent appearances in:

bioRxiv (Cold Spring Harbor Laboratory)
Bioinformatics
arXiv (Cornell University)
Biosystems
CU Scholar (University of Colorado Boulder)

Selected recent papers include:

"Operationalizing Machine Learning: An Interview Study" (2022), arXiv (Cornell University)
"BioSimulators: a central registry of simulation engines and services for recommending specific tools" (2022), CU Scholar (University of Colorado Boulder)
"Adapting modeling and simulation credibility standards to computational systems biology" (2023), Journal of Translational Medicine
"We Have No Idea How Models will Behave in Production until Production: How Engineers Operationalize Machine Learning" (2024), Proceedings of the ACM on Human-Computer Interaction
"Cesium: A public database of evolved oscillatory reaction networks" (2023), Biosystems

The scientist frequently collaborates with peers such as:

Herbert M. Sauro
Lucian P. Smith
John H. Gennari
David Nickerson
Bilal Shaikh

Best Publications

Feedback Control of Computing Systems

Joseph L. Hellerstein;Yixin Diao;Sujay Parekh;Dawn M. Tilbury

1326
Citations
Using Control Theory to Achieve Service Level Objectives In Performance Management

S. Parekh;N. Gandhi;J. Hellerstein;D. Tilbury

756
Citations
Towards characterizing cloud backend workloads: insights from Google compute clusters

Asit K. Mishra;Joseph L. Hellerstein;Walfredo Cirne;Chita R. Das

516
Citations
Mining partially periodic event patterns with unknown periods

Sheng Ma;J.L. Hellerstein

329
Citations
Using MIMO feedback control to enforce policies for interrelated metrics with application to the Apache Web server

Yixin Diao;N. Gandhi;J.L. Hellerstein;S. Parekh

311
Citations
Dynamic Service Placement in Geographically Distributed Clouds

Qi Zhang;Quanyan Zhu;Mohamed Faten Zhani;Raouf Boutaba

266
Citations
Dynamic energy-aware capacity provisioning for cloud computing environments

Qi Zhang;Mohamed Faten Zhani;Shuo Zhang;Quanyan Zhu

257
Citations
Modeling and synthesizing task placement constraints in Google compute clusters

Bikash Sharma;Victor Chudnovsky;Joseph L. Hellerstein;Rasekh Rifaat

252
Citations
Dynamic Heterogeneity-Aware Resource Provisioning in the Cloud

Qi Zhang;Mohamed Faten Zhani;Raouf Boutaba;Joseph L. Hellerstein

243
Citations
Method, computer program product, and system for deriving web transaction performance metrics

Willy W. Chiu;Nagui Halim;Joseph L. Hellerstein;LeRoy Albert Krueger

205
Citations
Systems and methods for service and role-based software distribution

Joseph L. Hellerstein;Gautam Kar;Alexander Keller

200
Citations
Managing computing deployment in presence of variable workload

David Wiley Coleman;Steven E. Froehlich;Joseph L. Hellerstein;Lawrence S. Hsiung

198
Citations
MIMO control of an Apache web server: modeling and controller design

N. Gandhi;D.M. Tilbury;Y. Diao;J. Hellerstein

195
Citations
The CHAMPS system: change management with planning and scheduling

A. Keller;J.L. Hellerstein;J.L. Wolf;K.-L. Wu

179
Citations
Online response time optimization of Apache web server

Xue Liu;Lui Sha;Yixin Diao;Steven Froehlich

168
Citations
Self-managing systems: a control theory foundation

Y. Diao;J.L. Hellerstein;Sujay Parekh;R. Griffith

161
Citations
Discovering actionable patterns in event data

J. L. Hellerstein;S. Ma;C.-S. Perng

161
Citations
Predictive algorithms in the management of computer systems

R. Vilalta;C. V. Apte;J. L. Hellerstein;S. Ma

161
Citations
Managing Web server performance with AutoTune agents

Y. Diao;J. L. Hellerstein;S. Parekh;J. P. Bigus

158
Citations
Introduction to Control Theory And Its Application to Computing Systems

Tarek Abdelzaher;Yixin Diao;Joseph L. Hellerstein;Chenyang Lu

154
Citations

Frequent Co-Authors

Yixin Diao IBM (United States)

Dawn M. Tilbury University of Michigan–Ann Arbor

Sam Lightstone IBM (United States)

Raouf Boutaba University of Waterloo

Mark S. Squillante IBM (United States)

Gail E. Kaiser Columbia University

Kun-Lung Wu IBM (United States)

Haixun Wang Instacart

Joel L. Wolf IBM (United States)

Irina Rish University of Montreal

External Links

Personal website of Joseph L. Hellerstein Google Scholar page

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