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D-Index & Metrics

Computer Science

D-Index
32
Citations
5315
World Ranking
13041
National Ranking
5251

Research.com Recognitions

  • 1953 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Thomas E. Morton is a researcher affiliated with Carnegie Mellon University in the United States. Their work primarily focuses on the field of Medicine, with a specialization in Surgery. The scientist's research interests concentrate on several key topics, including orthopaedic implants and arthroplasty, hip disorders and treatments, and total knee arthroplasty outcomes.

Their research output includes publications in reputable venues, with a notable concentration in Arthroplasty Today, where they have published multiple papers. Some of their recent studies include:

  • "A Handheld, Portable Image-Based System May Outperform Computer Navigation or Robotic Platforms in Providing Accurate Acetabular Component Positioning" (2024) in Arthroplasty Today
  • "Corrigendum to 'A Handheld, Portable Image-Based System May Outperform Computer Navigation or Robotic Platforms in Providing Accurate Acetabular Component Positioning' [Arthroplasty Today, Volume 30, December 2024, 101511]" (2025) in Arthroplasty Today

Frequent collaborators in Thomas Morton's research include Eric M. Slotkin, Francesca R. Coxe, and Tristan Jones, each contributing to multiple projects. Other coauthors include Stefan Kreutzer and Alejandro González Della Valle.

The scientist's awards include recognition as a Fellow of the American Association for the Advancement of Science (AAAS), awarded in 1953.

Best Publications

  • Priority Rules for Job Shops with Weighted Tardiness Costs

    Unknown

  • Filtered beam search in scheduling

    Peng Si Ow;Thomas E. Morton

  • A periodic review, production planning model with uncertain capacity and uncertain demand—optimality of extended myopic policies

    Frank W. Ciarallo;Ramakrishna Akella;Thomas E. Morton

  • Heuristic scheduling systems : with applications to production systems and project management

    Thomas E. Morton;David W. Pentico

  • The single machine early/tardy problem

    Peng Si Ow;Thomas E. Morton

  • Planning Horizons for the Dynamic Lot Size Model: Zabel vs. Protective Procedures and Computational Results

    Rolf A. Lundin;Thomas E. Morton

  • Capacity Expansion and Replacement in Growing Markets with Uncertain Technological Breakthroughs

    Sampath Rajagopalan;Medini R. Singh;Thomas E. Morton

  • Order acceptance with weighted tardiness

    Susan A. Slotnick;Thomas E. Morton

  • Near Myopic Heuristics for the Fixed-Life Perishability Problem

    Purushottaman Nandakumar;Thomas E. Morton

  • Myopic Heuristics for the Random Yield Problem

    Srinivas Bollapragada;Thomas E. Morton

  • Resource-constrained multi-project scheduling with tardy costs: Comparing myopic, bottleneck, and resource pricing heuristics

    Stephen R. Lawrence;Thomas E. Morton

  • Callisto: An intelligent project management system

    Arvind Sathi;Thomas E Morton;Steven F Roth

  • Selecting jobs for a heavily loaded shop with lateness penalties

    Susan A. Slotnick;Thomas E. Morton

  • Myopic Heuristics for the Single Machine Weighted Tardiness Problem

    Thomas E. Morton;Ram V. Rachamadugu

  • SCHED-STAR A PRICE-BASED SHOP SCHEDULING MODULE

    T.E. Morton;S.R. Lawrence;S. Rajagopolan;S. Kekre

  • The finite horizon nonstationary stochastic inventory problem: near-myopic bounds, heuristics, testing

    Thomas E. Morton;David W. Pentico

  • Heuristic Scheduling Systems.

    Unknown

  • Planning Horizons for Production Smoothing with Deterministic Demands: I. All Demand Met from Regular Production

    Howard C. Kunreuther;Thomas E. Morton

  • A Simple Heuristic for Computing Nonstationary ( S, S ) Policies

    Srinivas Bollapragada;Thomas E. Morton

  • Minimal forecast horizon procedures for dynamic lot size models

    Suresh Chand;Thomas E. Morton

  • Resource Pricing And Aggregate Scheduling In Manufacturing Systems

    Unknown

  • The Effects of Learning on Optimal Lot Sizes: Further Developments on the Single Product Case

    Timothy L. Smunt;Thomas E. Morton

  • SCHEDULING TO MINIMIZE MAKESPAN ON UNEQUAL PARALLEL PROCESSORS

    Prabuddha De;Thomas E. Morton

Frequent Co-Authors

Suresh P. Sethi
Suresh P. Sethi The University of Texas at Dallas

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