H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 48 Citations 8,108 172 World Ranking 3116 National Ranking 1635

Research.com Recognitions

Awards & Achievements

2018 - AAAI Robert S. Engelmore Memorial Lecture Award For sustained research excellence in constraint-based planning and scheduling technologies, deployment of those technologies to a range of significant real-world problems, and extensive service to the AI community that includes significant outreach to related technical fields.

2007 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to heuristic and mixed-initiative scheduling, constraint-based search, and the development of scalable AI systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

His main research concerns Schedule, Mathematical optimization, Scheduling, Scheduling and Artificial intelligence. Stephen F. Smith combines subjects such as Solver, Unexpected events, Job shop scheduling and Operations research with his study of Schedule. His Mathematical optimization study integrates concerns from other disciplines, such as Theoretical computer science and Constraint satisfaction problem.

Stephen F. Smith works in the field of Scheduling, focusing on Dynamic priority scheduling in particular. His Scheduling research includes themes of Real-time computing, Two-level scheduling and Knowledge-based systems. He has included themes like Factory, Machine learning and Task, Task analysis in his Artificial intelligence study.

His most cited work include:

  • Modeling Supply Chain Dynamics: A Multiagent Approach (747 citations)
  • ISIS—a knowledge‐based system for factory scheduling (531 citations)
  • A learning system based on genetic adaptive algorithms (470 citations)

What are the main themes of his work throughout his whole career to date?

Stephen F. Smith mainly investigates Scheduling, Mathematical optimization, Schedule, Real-time computing and Job shop scheduling. His Scheduling research incorporates elements of Distributed computing, Artificial intelligence and Operations research. His work deals with themes such as Constraint satisfaction, Flow shop scheduling and Fair-share scheduling, which intersect with Mathematical optimization.

His Schedule study incorporates themes from Scheduling and Robustness. Stephen F. Smith interconnects Manufacturing engineering, Software engineering and Systems engineering in the investigation of issues within Scheduling. His biological study deals with issues like Control, which deal with fields such as Signal and Dedicated short-range communications.

He most often published in these fields:

  • Scheduling (31.51%)
  • Mathematical optimization (28.42%)
  • Schedule (18.15%)

What were the highlights of his more recent work (between 2012-2021)?

  • Real-time computing (18.49%)
  • Control (6.51%)
  • Scheduling (31.51%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Real-time computing, Control, Scheduling, Mathematical optimization and Scalability. His Real-time computing research incorporates themes from Transit, SIGNAL, Adaptive control and Job shop scheduling. Stephen F. Smith usually deals with Control and limits it to topics linked to Operations research and Bidding and Traffic engineering.

His work carried out in the field of Scheduling brings together such families of science as Robot, Traffic signal and Traffic flow. He works in the field of Mathematical optimization, namely Heuristics. His research in Asynchronous communication intersects with topics in Information exchange and Schedule.

Between 2012 and 2021, his most popular works were:

  • Managing Wind-Based Electricity Generation in the Presence of Storage and Transmission Capacity (38 citations)
  • Smart and scalable urban signal networks: methods and systems for adaptive traffic signal control (34 citations)
  • Electricity Trading and Negative Prices: Storage vs. Disposal (31 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Programming language

His scientific interests lie mostly in Real-time computing, Intersection, Scalability, Value and Energy storage. His Real-time computing research is multidisciplinary, relying on both Transit bus, Robot, SIGNAL and Job shop scheduling. His Job shop scheduling study contributes to a more complete understanding of Scheduling.

Stephen F. Smith has included themes like Urban road and Inefficiency in his Scheduling study. His studies in Intersection integrate themes in fields like Quality of service, Bidding, Control theory, Control and Operations research. The Scalability study combines topics in areas such as Distributed computing and Asynchronous communication.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Modeling Supply Chain Dynamics: A Multiagent Approach

Jayashankar M. Swaminathan;Stephen F. Smith;Norman M. Sadeh.
Decision Sciences (1998)

1318 Citations

ISIS—a knowledge‐based system for factory scheduling

Mark S. Fox;Stephen F. Smith.
Expert Systems (1984)

816 Citations

A learning system based on genetic adaptive algorithms

Stephen Frederick Smith.
Ph. D. Thesis, University of Pittsburgh (1980)

730 Citations

Flexible learning of problem solving heuristics through adaptive search

Stephen F. Smith.
international joint conference on artificial intelligence (1983)

346 Citations

A Constraint-Based Method for Project Scheduling with Time Windows

Amedeo Cesta;Angelo Oddi;Stephen F. Smith.
Journal of Heuristics (2002)

321 Citations

Cardiac troponin T composition in normal and regenerating human skeletal muscle.

Geza S. Bodor;Libby Survant;Ellen M. Voss;Stephen Smith.
Clinical Chemistry (1997)

301 Citations

Construction and maintaining detailed production plans: Investigations into the development of knowledge-based factory scheduling systems

Stephen F Smith;Mark S Fox;Peng Si Ow.
Ai Magazine (1986)

271 Citations

Using genetic algorithms to schedule flow shop releases

Gary A. Cleveland;Stephen F. Smith.
international conference on genetic algorithms (1989)

270 Citations

Slack-based heuristics for constraint satisfaction scheduling

Stephen F. Smith;Cheng-Chung Cheng.
national conference on artificial intelligence (1993)

254 Citations

Competition-Based Induction of Decision Models from Examples

David Perry Greene;Stephen F. Smith.
Machine Learning (1993)

237 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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