World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13036
World Ranking
5525
National Ranking
2524

Research.com Recognitions

  • 2015 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - SIAM Fellow For contributions to combinatorial and parallel algorithms in scientific computing.
  • 2009 - ACM Distinguished Member

Overview

Bruce Hendrickson is affiliated with the Lawrence Livermore National Laboratory in the United States. Their research spans several areas within computer science, with a focus on algorithms, computing architectures, and optimization techniques.

Their recent publication includes the paper titled High-performance computing at a crossroads, published in 2025 in the journal Science. This work has received attention in the scientific community, accumulating citations since its release.

Bruce Hendrickson's main field of study is computer science. Within this broad domain, their subfields of interest comprise:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Hardware and Architecture

The main topics explored in their research are:

  • Quantum Computing Algorithms and Architecture
  • Computability, Logic, AI Algorithms
  • Parallel Computing and Optimization Techniques

Frequent coauthors working alongside Bruce Hendrickson include:

  • Ewa Deelman
  • Jack Dongarra
  • Amanda Randles
  • Daniel A. Reed
  • Edward Seidel

Publication venues for their work primarily include Science, reflecting the level of impact and reach their research has achieved.

Throughout their career, Bruce Hendrickson has been recognized with several awards:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2015
  • SIAM Fellow, 2012, for contributions to combinatorial and parallel algorithms in scientific computing
  • ACM Distinguished Member, 2009

Best Publications

  • A Multi-Level Algorithm For Partitioning Graphs

    Bruce Hendrickson;Robert Leland

  • An improved spectral graph partitioning algorithm for mapping parallel computations

    Bruce Hendrickson;Robert Leland

  • The Chaco user`s guide. Version 1.0

    Unknown

  • Conditions for unique graph realizations

    Bruce Hendrickson

  • Graph partitioning models for parallel computing

    Bruce Hendrickson;Tamara G. Kolda

  • CHALLENGES IN PARALLEL GRAPH PROCESSING

    Andrew Lumsdaine;Douglas P. Gregor;Bruce Hendrickson;Jonathan W. Berry

  • An Algorithm for Two-Dimensional Rigidity Percolation

    Donald J. Jacobs;Bruce Hendrickson

  • Massively parallel methods for engineering and science problems : High performance computing

    W. J. Camp;S. J. Plimpton;B. A. Hendrickson;R. W. Leland

  • Zoltan data management services for parallel dynamic applications

    K. Devine;E. Boman;R. Heaphy;B. Hendrickson

  • A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L

    Andy Yoo;Edmond Chow;Keith Henderson;William McLendon

  • New challanges in dynamic load balancing

    Karen D. Devine;Erik G. Boman;Robert T. Heaphy;Bruce A. Hendrickson

  • A Spectral Algorithm for Seriation and the Consecutive Ones Problem

    Jonathan E. Atkins;Erik G. Boman;Bruce Hendrickson

  • Dynamic load balancing in computational mechanics

    Bruce Hendrickson;Karen Devine

  • The Molecule Problem: Exploiting Structure in Global Optimization

    Bruce Hendrickson

  • Tolerating the community detection resolution limit with edge weighting.

    Jonathan W. Berry;Bruce Hendrickson;Randall A. LaViolette;Cynthia A. Phillips

  • A new parallel method for molecular dynamics simulation of macromolecular systems

    Steve Plimpton;Bruce Hendrickson

  • On Identifying Strongly Connected Components in Parallel

    Lisa Fleischer;Bruce Hendrickson;Ali Pinar

  • Knowledge Mining With VxInsight: Discovery ThroughInteraction

    George S. Davidson;Bruce Hendrickson;David K. Johnson;Charles E. Meyers

  • Improving the Run Time and Quality of Nested Dissection Ordering

    Bruce Hendrickson;Edward Rothberg

  • Support-Graph Preconditioners

    Marshall Bern;John R. Gilbert;Bruce Hendrickson;Nhat Nguyen

  • Tolerating the community detection resolution limit with edge weighting.

    Randall A. LaViolette;Bruce Alan Hendrickson;Cynthia Ann Phillips;Jonathan W. Berry

Frequent Co-Authors

Ali Pinar
Ali Pinar Sandia National Laboratories
Steven J. Plimpton
Steven J. Plimpton Sandia National Laboratories
Alex Pothen
Alex Pothen Purdue University West Lafayette
Tamara G. Kolda
Tamara G. Kolda Independent Scientist / Consultant, US
Andrew Lumsdaine
Andrew Lumsdaine Pacific Northwest National Laboratory
Lawrence Rauchwerger
Lawrence Rauchwerger University of Illinois at Urbana-Champaign
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Stephen A. Vavasis
Stephen A. Vavasis University of Waterloo
John R. Gilbert
John R. Gilbert University of California, Santa Barbara

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