World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
22972
World Ranking
5468
National Ranking
2496

Research.com Recognitions

  • 2013 - SIAM Fellow For contributions to parallel computing and computational science.
  • 2009 - ACM Gordon Bell Prize The Cat is Out of the Bag: Cortical Simulations with 109 Neurons, 1013 Synapses

Overview

Horst D. Simon is affiliated with the Lawrence Berkeley National Laboratory in the United States. Their research primarily focuses on Business, Management and Accounting, with notable emphasis on Strategy and Management, Management Information Systems, and Artificial Intelligence. Additional areas of study include Computer Vision and Pattern Recognition as well as Information Systems and Management.

Their work covers various main topics such as Supply Chain Resilience and Risk Management, Quality and Supply Management, Sustainable Supply Chain Management, Machine Learning and Data Classification, Face and Expression Recognition, Big Data and Business Intelligence, and Big Data Technologies and Applications.

Simon has published several papers in a range of academic venues. Key recent publications include:

  • Introducing a process for radical supply chain risk management, 2020, International Journal of Business Performance Management
  • Perspectives on the Future of Work, Risk Culture Building and Radical Risk Management, 2020, SSRN Electronic Journal
  • Data Driven Dimensionality Reduction to Improve Modeling Performance, 2023, SSRN Electronic Journal
  • Emilio Porcu, Horst Simon, and Youssef Wehbe's contribution to the Discussion of 'Inference for extreme spatial temperature events in a changing climate with application to Ireland' by Healy et al., 2024, Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Introducing a process for radical supply chain risk management, 2020, International Journal of Business Performance Management

Frequent publication venues for Simon's work are:

  • SSRN Electronic Journal
  • International Journal of Business Performance Management
  • Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • arXiv (Cornell University)

Simon collaborates regularly with several coauthors. Prominent frequent collaborators include:

  • Emilio Porcu
  • Jacobus D. Nel
  • Marcos López de Prado
  • Kesheng Wu
  • Roy El Moukari

In recognition of their work, Simon has received awards such as the SIAM Fellow in 2013 for contributions to parallel computing and computational science. Additionally, they were awarded the ACM Gordon Bell Prize in 2009 for research involving large-scale cortical simulations.

Best Publications

  • The NAS parallel benchmarks—summary and preliminary results

    D. H. Bailey;E. Barszcz;J. T. Barton;D. S. Browning

  • The Nas Parallel Benchmarks

    D.H. Bailey;E. Barszcz;J.T. Barton;D.S. Browning

  • Partitioning sparse matrices with eigenvectors of graphs

    Alex Pothen;Horst D. Simon;Kan-Pu Liou

  • Partitioning of unstructured problems for parallel processing

    H.D. Simon

  • A min-max cut algorithm for graph partitioning and data clustering

    C.H.Q. Ding;Xiaofeng He;Xiaofeng He;Hongyuan Zha;Ming Gu

  • Fast multilevel implementation of recursive spectral bisection for partitioning unstructured problems

    Stephen T. Barnard;Horst D. Simon

  • Spectral Relaxation for K-means Clustering

    Hongyuan Zha;Xiaofeng He;Chris Ding;Ming Gu

  • A Shifted Block Lanczos Algorithm for Solving Sparse Symmetric Generalized Eigenproblems

    Roger G. Grimes;John G. Lewis;Horst D. Simon

  • PageRank: HITS and a Unified Framework for Link Analysis.

    Chris H. Q. Ding;Xiaofeng He;Parry Husbands;Hongyuan Zha

  • NAS parallel benchmark results

    D.H. Bailey;E. Barszcz;L. Dagum;H.D. Simon

  • Bipartite graph partitioning and data clustering

    Hongyuan Zha;Xiaofeng He;Chris Ding;Horst Simon

  • The Lanczos algorithm with partial reorthogonalization

    Horst D. Simon

  • Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems

    Kesheng Wu;Horst Simon

  • Adaptive dimension reduction for clustering high dimensional data

    C. Ding;Xiaofeng He;Hongyuan Zha;H.D. Simon

  • The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses

    Rajagopal Ananthanarayanan;Steven K. Esser;Horst D. Simon;Dharmendra S. Modha

  • A spectral algorithm for envelope reduction of sparse matrices

    Stephen T. Barnard;Alex Pothen;Horst D. Simon

  • How Good is Recursive Bisection

    Horst D. Simon;Shang-Hua Teng

  • Analysis of the symmetric Lanczos algorithm with reorthogonalization methods

    Horst D. Simon

  • On Updating Problems in Latent Semantic Indexing

    Hongyuan Zha;Horst D. Simon

  • Progress in Sparse Matrix Methods for Large Linear Systems On Vector Supercomputers

    C. Cleveland Ashcraft;Roger G. Grimes;John G. Lewis;Barry W. Peyton

  • TOP500 Supercomputer sites 11/2000

    Hans W. Meuer;Erich Strohmaier;Jack J. Dongarra;Horst D. Simon

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Kesheng Wu
Kesheng Wu Lawrence Berkeley National Laboratory
Robert Schreiber
Robert Schreiber Cerebras Systems
Alex Pothen
Alex Pothen Purdue University West Lafayette
John Shalf
John Shalf Lawrence Berkeley National Laboratory
Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Michael A. Heroux
Michael A. Heroux Sandia National Laboratories
Loren M. Frank
Loren M. Frank University of California, San Francisco

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