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D-Index & Metrics

Computer Science

D-Index
32
Citations
4148
World Ranking
13203
National Ranking
5296

Overview

Lawrence Snyder is affiliated with the University of Washington in the United States and has contributed to the fields of Engineering and Business, Management and Accounting. Their work spans several subfields including Electrical and Electronic Engineering, Management Information Systems, Artificial Intelligence, Strategy and Management, as well as Management Science and Operations Research.

Their research covers key topics such as Supply Chain and Inventory Management, Sustainable Supply Chain Management, Forecasting Techniques and Applications, Healthcare Operations and Scheduling Optimization, Healthcare Policy and Management, Electric Vehicles and Infrastructure, and Smart Grid Energy Management.

Snyder has authored multiple papers published in diverse academic venues. Notable recent publications include:

  • "A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization" (2021) in Manufacturing & Service Operations Management
  • "Forecasting, hindcasting and feature selection of ocean waves via recurrent and sequence-to-sequence networks" (2020) in Ocean Engineering
  • "Feature engineering and forecasting via derivative-free optimization and ensemble of sequence-to-sequence networks with applications in renewable energy" (2020) in Energy
  • "Pricing during Disruptions: Order Variability versus Profit" (2020) in Decision Sciences
  • "Nash equilibrium sorting genetic algorithm for simultaneous competitive maximal covering location with multiple players" (2021) in Engineering Optimization

These publications have been cited variously, indicating engagement from the academic community across operations management, energy systems, and decision sciences.

They frequently collaborate with several researchers, including Mohammad Pirhooshyaran, Mertcan Yetkin, Karmel S. Shehadeh, Alberto J. Lamadrid, and Sudharsan Kalidoss. These repeated collaborations suggest ongoing work in interdisciplinary areas bridging engineering and management sciences.

Lawrence Snyder has been published extensively on arXiv alongside other venues, reflecting active dissemination of research findings in open-access formats as well as peer-reviewed journals.

Best Publications

  • On mapping parallel algorithms into parallel architectures

    Francine Berman;Lawrence Snyder

  • A Linear Time Algorithm for Deciding Subject Security

    Unknown

  • Chaos router: architecture and performance

    S. Konstantinidou;L. Snyder

  • A Linear time algorithm for deciding security

    A. K. Jones;R. J. Lipton;L. Snyder

  • The case for high-level parallel programming in ZPL

    B.L. Chamberlain;Sung-Eun Choi;E.C. Lewis;L. Snyder

  • Bounds on minimax edge length for complete binary trees

    M. S. Paterson;W. L. Ruzzo;L. Snyder

  • ZPL: a machine independent programming language for parallel computers

    B.L. Chamberlain;Sung-Eun Choi;C. Lewis;C. Lin

  • Algorithms for Image Component Labeling on SIMD Mesh-Connected Computers

    Unknown

  • The Chaos router

    S. Konstantinidou;L. Snyder

  • Time- and space-optimality in B-trees

    Arnold L. Rosenberg;Lawrence Snyder

  • Bounds on the costs of data encodings

    Arnold L. Rosenberg;Lawrence Snyder

  • Generalized planar matching

    Fran Berman;David Johnson;Tom Leighton;Peter W. Shor

  • The chaos router: a practical application of randomization in network routing

    S. Konstantinidou;L. Snyder

  • A Comparative Study of the NAS MG Benchmark across Parallel Languages and Architectures

    Bradford L. Chamberlain;Steven J. Deitz;Lawrence Snyder

  • ZPL: An Array Sublanguage

    Calvin Lin;Lawrence Snyder

  • The implementation and evaluation of fusion and contraction in array languages

    E. Christopher Lewis;Calvin Lin;Lawrence Snyder

  • Hypercube and shuffle-exchange algorithms for image component labeling

    R. Cyper;J. L. C. Sanz;L. Snyder

  • A programmer's guide to ZPL

    Lawrence Snyder

  • A Comparison of Programming Models for Shared Memory Multiprocessors.

    Calvin Lin;Lawrence Snyder

  • The case for chaotic adaptive routing

    K. Bolding;M. Fulgham;L. Snyder

  • The Ariadne debugger: scalable application of event-based abstraction

    Janice Cuny;George Forman;Alfred Hough;Joydip Kundu

  • ZPL's WYSIWYG performance model

    B.L. Chamberlain;C. Lin;Sung-Eun Choi;L. Snyder

  • Optimal 2,3-Trees

    Raymond E. Miller;Nicholas Pippenger;Arnold L. Rosenberg;Lawrence Snyder

Frequent Co-Authors

Calvin Lin
Calvin Lin The University of Texas at Austin
David Notkin
David Notkin University of Washington
William G. Griswold
William G. Griswold University of California, San Diego
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Nicholas Pippenger
Nicholas Pippenger Harvey Mudd College
Fan Chung
Fan Chung University of California, San Diego

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