World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
12744
World Ranking
3647
National Ranking
1743

Electronics and Electrical Engineering

D-Index
58
Citations
12712
World Ranking
1868
National Ranking
739

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2019 - Fellow, National Academy of Inventors
  • 2008 - ACM Fellow For contributions to computer-aided design tools for mixed-signal integrated circuits.

Overview

Rob A. Rutenbar is affiliated with the University of Pittsburgh in the United States. Their research primarily spans areas within computer science and engineering, concentrating on numerical methods and algorithms, low-power high-performance VLSI design, and digital filter design and implementation.

The scientist's work is documented through publications in specific venues, including the IEEE Transactions on Very Large Scale Integration (VLSI) Systems, where they have contributed research outputs.

Recent published work includes the paper titled Area-Efficient Iterative Logarithmic Approximate Multipliers for IEEE 754 and Posit Numbers in 2024, appearing in the IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Frequent collaborators in their research activities are:

  • Sunwoong Kim
  • Cameron James Norris
  • James I. Oelund

Rob A. Rutenbar's fields of study are:

  • Computer Science
  • Engineering

Within these fields, subfields of focus include:

  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Signal Processing

The main research topics covered are:

  • Numerical Methods and Algorithms
  • Low-power high-performance VLSI design
  • Digital Filter Design and Implementation

Throughout their career, Rob A. Rutenbar has received several recognitions and fellowships, including:

  • Fellow, National Academy of Inventors (2019)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2019)
  • ACM Fellow (2008) for contributions to computer-aided design tools for mixed-signal integrated circuits

Best Publications

  • Simulated annealing algorithms: an overview

    R.A. Rutenbar

  • Computer-aided design of analog and mixed-signal integrated circuits

    G.G.E. Gielen;R.A. Rutenbar

  • OASYS: a framework for analog circuit synthesis

    R. Harjani;R.A. Rutenbar;L.R. Carley

  • Synthesis of high-performance analog circuits in ASTRX/OBLX

    E.S. Ochotta;R.A. Rutenbar;L.R. Carley

  • KOAN/ANAGRAM II: new tools for device-level analog placement and routing

    J.M. Cohn;D.J. Garrod;R.A. Rutenbar;L.R. Carley

  • Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search

    R. Phelps;M. Krasnicki;R.A. Rutenbar;L.R. Carley

  • Addressing substrate coupling in mixed-mode ICs: simulation and power distribution synthesis

    B.R. Stanisic;N.K. Verghese;R.A. Rutenbar;L.R. Carley

  • Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs

    R.A. Rutenbar;G.G.E. Gielen;J. Roychowdhury

  • Digital Circuit Design Challenges and Opportunities in the Era of Nanoscale CMOS

    B.H. Calhoun;Yu Cao;Xin Li;Ken Mai

  • Reducing power by optimizing the necessary precision/range of floating-point arithmetic

    J.Y.F. Tong;D. Nagle;R.A. Rutenbar

  • A comparative study of two Boolean formulations of FPGA detailed routing constraints

    G.-J. Nam;F. Aloul;K.A. Sakallah;R.A. Rutenbar

  • Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis

    A Singhee;R A Rutenbar

  • MAELSTROM: efficient simulation-based synthesis for custom analog cells

    M. Krasnicki;R. Phelps;R.A. Rutenbar;L.R. Carley

  • FPGA routing and routability estimation via Boolean satisfiability

    R.G. Wood;R.A. Rutenbar

  • Placement by Simulated Annealing on a Multiprocessor

    S.A. Kravitz;R.A. Rutenbar

  • Statistical Blockade: Very Fast Statistical Simulation and Modeling of Rare Circuit Events and Its Application to Memory Design

    A. Singhee;R.A. Rutenbar

  • Remembrance of circuits past: macromodeling by data mining in large analog design spaces

    Hongzhou Liu;A. Singhee;R.A. Rutenbar;L.R. Carley

  • Towards formal verification of analog designs

    S. Gupta;B. H. Krogh;R. A. Rutenbar

  • Integer programming based topology selection of cell-level analog circuits

    P.C. Maulik;L.R. Carley;R.A. Rutenbar

  • Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application

    Amith Singhee;Rob A. Rutenbar

  • OASYS: a framework for analog circuit synthesis

    R. Harjani

  • Digital Circuit Design Challenges and Opportunities in the Era of Nanoscale CMOS : Small transistors necessitate big changes, in the way digital circuits are modeled and optimized for manufacturability, and new strategies for logic, memory, clocking and power distribution

    Benton H. Calhoun;Yu Cao;Xin Li;Ken Mai

Frequent Co-Authors

L.R. Carley
L.R. Carley Carnegie Mellon University
Karem A. Sakallah
Karem A. Sakallah University of Michigan–Ann Arbor
Tsuhan Chen
Tsuhan Chen Cornell University
Ramesh Harjani
Ramesh Harjani University of Minnesota
Benton H. Calhoun
Benton H. Calhoun University of Virginia
Larry Pileggi
Larry Pileggi Carnegie Mellon University
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
David J. Allstot
David J. Allstot Carnegie Mellon University

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