What is he best known for?
The fields of study he is best known for:
- Algorithm
- Operating system
- Artificial intelligence
Electronic engineering, Electronic circuit, Algorithm, Integrated circuit design and Circuit design are his primary areas of study.
His Electronic engineering study combines topics from a wide range of disciplines, such as Simulated annealing, Computer Aided Design and Electronic design automation.
His Electronic circuit research is multidisciplinary, incorporating perspectives in Formal verification, State space, Hybrid system and Parallel computing.
Rob A. Rutenbar interconnects Field-programmable gate array, Quasi-Monte Carlo method and Monte Carlo method in the investigation of issues within Algorithm.
He has included themes like Computer architecture, Computer engineering, Topology, IC layout editor and Analogue electronics in his Integrated circuit design study.
His Circuit design research is multidisciplinary, incorporating elements of Integrated circuit layout, Integrated circuit, Logic synthesis, Logic optimization and Circuit extraction.
His most cited work include:
- Simulated annealing algorithms: an overview (493 citations)
- Computer-aided design of analog and mixed-signal integrated circuits (482 citations)
- OASYS: a framework for analog circuit synthesis (378 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Electronic engineering, Electronic circuit, Algorithm, Analogue electronics and Integrated circuit.
His Electronic engineering research includes elements of Operational amplifier and Mixed-signal integrated circuit.
His work deals with themes such as Circuit extraction, Computer architecture and Physical design, which intersect with Mixed-signal integrated circuit.
His Electronic circuit research integrates issues from CMOS and Computer engineering.
His work in Algorithm tackles topics such as Monte Carlo method which are related to areas like Probability distribution.
His research integrates issues of Computer Aided Design and Electronic design automation in his study of Integrated circuit.
He most often published in these fields:
- Electronic engineering (24.68%)
- Electronic circuit (18.04%)
- Algorithm (16.46%)
What were the highlights of his more recent work (between 2008-2020)?
- Algorithm (16.46%)
- Field-programmable gate array (9.18%)
- Markov random field (4.43%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Algorithm, Field-programmable gate array, Markov random field, Artificial intelligence and Inference.
His Algorithm research incorporates elements of Monte Carlo method, Markov chain Monte Carlo, Quasi-Monte Carlo method, Integrated circuit and Electronic engineering.
His study in Monte Carlo method is interdisciplinary in nature, drawing from both Electronic circuit, Extreme value theory, Rare events and Static random-access memory.
Rob A. Rutenbar focuses mostly in the field of Electronic circuit, narrowing it down to matters related to Dimensionality reduction and, in some cases, Very-large-scale integration.
Rob A. Rutenbar works in the field of Integrated circuit, focusing on Mixed-signal integrated circuit in particular.
Rob A. Rutenbar has researched Electronic engineering in several fields, including Interpolation, Kriging and Compressed sensing.
Between 2008 and 2020, his most popular works were:
- Statistical Blockade: Very Fast Statistical Simulation and Modeling of Rare Circuit Events and Its Application to Memory Design (132 citations)
- Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis (114 citations)
- Virtual Probe: A Statistical Framework for Low-Cost Silicon Characterization of Nanoscale Integrated Circuits (46 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Algorithm
Rob A. Rutenbar mainly focuses on Algorithm, Statistics, Artificial intelligence, Monte Carlo method and Probability distribution.
His research in Algorithm intersects with topics in Markov random field, Frequency domain, Inference and Integrated circuit.
His work carried out in the field of Integrated circuit brings together such families of science as Electronic engineering, Bayesian inference and Interpolation.
Rob A. Rutenbar combines subjects such as Margin, Probabilistic logic, Importance sampling and Nano cmos with his study of Electronic engineering.
The Monte Carlo method study combines topics in areas such as Noise, Theoretical computer science, Rare events and Nonlinear system.
His Rare events study integrates concerns from other disciplines, such as Electronic circuit, Projection pursuit, Very-large-scale integration, Dimensionality reduction and Discrete event simulation.
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