World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12936
World Ranking
5027
National Ranking
2339

Research.com Recognitions

  • 2001 - ACM Fellow For his highly cited paper on cache memories, for his contributions to performance measurement, and for his leadership in professional society activities.
  • 2001 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Alan Jay Smith is affiliated with the University of California, Berkeley in the United States. Their research spans multiple fields, primarily in Engineering and Economics, Econometrics and Finance.

Their recent publications span areas such as energy systems, control and system identification, and financial regulations. Notable papers include:

  • Energy storage systems for services provision in offshore wind farms, 2024, Renewable and Sustainable Energy Reviews
  • Improved Pole Placement and Compaction of MIMO Vector Fitting Applied to System Identification, 2024, IEEE Transactions on Power Delivery
  • Sowing the Seeds of a Future Crisis: The SEC and the Emergence of the Nationally Recognized Statistical Rating Organization (NRSRO) Category, 1971-1975, 2021, The Business History Review

Frequent co-authors contributing to these works include:

  • Arkaitz Rabanal
  • Chiagoro Chinonyerem Ahaotu
  • Elisabetta Tedeschi
  • Salvatore D'Arco
  • Jon Are Suul

Their publication venues reflect the interdisciplinary nature of their research:

  • Renewable and Sustainable Energy Reviews
  • IEEE Transactions on Power Delivery
  • The Business History Review

The fields of study that characterize their work include:

  • Engineering
  • Economics, Econometrics and Finance

Subfields within these broader areas capture the focus of their research efforts:

  • Control and Systems Engineering
  • Finance
  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Statistical and Nonlinear Physics

The main topics addressed in their research cover technical and financial dimensions:

  • Microgrid Control and Optimization
  • Hybrid Renewable Energy Systems
  • Advanced Battery Technologies Research
  • Model Reduction and Neural Networks
  • Control Systems and Identification
  • Probabilistic and Robust Engineering Design
  • Credit Risk and Financial Regulations

Alan Jay Smith has been recognized with awards including Fellow of the American Association for the Advancement of Science (AAAS) in 2001 and ACM Fellow in 2001, the latter awarded for a highly cited paper on cache memories and contributions to performance measurement and professional society leadership.

Best Publications

  • Cache Memories

    Alan Jay Smith

  • Evaluating associativity in CPU caches

    M.D. Hill;A.J. Smith

  • Improving dynamic voltage scaling algorithms with PACE

    Jacob R. Lorch;Alan Jay Smith

  • Sequential Program Prefetching in Memory Hierarchies

    A.J. Smith

  • Software strategies for portable computer energy management

    J.R. Lorch;A.J. Smith

  • A class of compatible cache consistency protocols and their support by the IEEE futurebus

    P. Sweazey;A. J. Smith

  • Aspects of cache memory and instruction buffer performance

    Mark Donald Hill;Alan Jay Smith

  • Disk cache—miss ratio analysis and design considerations

    Alan J. Smith

  • Analysis of benchmark characteristics and benchmark performance prediction

    Rafael H. Saavedra;Alan J. Smith

  • Sequentiality and prefetching in database systems

    Alan Jay Smith

  • Cache performance of the SPEC92 benchmark suite

    J.D. Gee;M.D. Hill;D.N. Pnevmatikatos;A.J. Smith

  • Line (Block) Size Choice for CPU Cache Memories

    Alan Jay Smith

  • Branch target buffer design and optimization

    Chris H. Perleberg;Alan Jay Smith

  • Interference in multiprocessor computer systems with interleaved memory

    Forest Baskett;Alan Jay Smith

  • Cache evaluation and the impact of workload choice

    Alan Jay Smith

  • PACE: a new approach to dynamic voltage scaling

    J.R. Lorch;A.J. Smith

  • A Comparative Study of Set Associative Memory Mapping Algorithms and Their Use for Cache and Main Memory

    A.J. Smith

  • Measuring cache and TLB performance and their effect on benchmark runtimes

    R.H. Saavedra;A.J. Smith

  • The task of the referee

    A.J. Smith

  • Experimental evaluation of on-chip microprocessor cache memories

    Mark D. Hill;Alan Jay Smith

Frequent Co-Authors

Jacob R. Lorch
Jacob R. Lorch Microsoft (United States)
Mark D. Hill
Mark D. Hill University of Wisconsin–Madison
Kenneth R. Williams
Kenneth R. Williams Yale University
Gregg B. Fields
Gregg B. Fields Florida Atlantic University
Daniel R. Marshak
Daniel R. Marshak Cold Spring Harbor Laboratory
Alma L. Burlingame
Alma L. Burlingame University of California, San Francisco
Lowell H. Ericsson
Lowell H. Ericsson University of Washington
David Rekosh
David Rekosh University of Virginia
Marie-Louise Hammarskjold
Marie-Louise Hammarskjold University of Virginia
Inge Grundke-Iqbal
Inge Grundke-Iqbal University of York

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