What is he best known for?
The fields of study he is best known for:
- Algorithm
- Statistics
- Integrated circuit
Algorithm, Electronic engineering, Electronic circuit, Statistical static timing analysis and Static timing analysis are his primary areas of study.
His studies deal with areas such as Upper and lower bounds, Spatial correlation, Monte Carlo method and Process variation as well as Algorithm.
His Process variation study incorporates themes from Probability distribution and Statistics.
His Electronic engineering study integrates concerns from other disciplines, such as Industrial noise, Noise, Inductance, Voltage and Interconnection.
His research in Statistical static timing analysis tackles topics such as Computation which are related to areas like Parameterized complexity.
The concepts of his Static timing analysis study are interwoven with issues in Theoretical computer science, Random variable and Heuristic.
His most cited work include:
- Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations (414 citations)
- Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions (218 citations)
- Method, system, and program product for computing a yield gradient from statistical timing (193 citations)
What are the main themes of his work throughout his whole career to date?
Vladimir Zolotov mostly deals with Electronic engineering, Algorithm, Static timing analysis, Electronic circuit and Integrated circuit.
His Electronic engineering research includes elements of Interconnection, Chip and Noise.
Vladimir Zolotov has included themes like Theoretical computer science, Random variable, Metric and Statistical static timing analysis in his Algorithm study.
His Random variable study integrates concerns from other disciplines, such as Time complexity and Upper and lower bounds.
His work on Digital electronics as part of general Electronic circuit research is often related to RLC circuit, thus linking different fields of science.
His research integrates issues of Statistical timing and Voltage in his study of Integrated circuit.
He most often published in these fields:
- Electronic engineering (44.23%)
- Algorithm (33.97%)
- Static timing analysis (21.79%)
What were the highlights of his more recent work (between 2012-2019)?
- Algorithm (33.97%)
- Integrated circuit (18.59%)
- Static timing analysis (21.79%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Integrated circuit, Static timing analysis, Electronic engineering and Statistical timing.
The Integrated circuit study combines topics in areas such as Function, Parameterized complexity and Voltage.
His Static timing analysis study combines topics in areas such as Logic gate and Sensitivity.
His research in Electronic engineering intersects with topics in Transistor, Process variation, Noise and Signal.
His Process variation study incorporates themes from Field-effect transistor and Process variable.
He interconnects Timing closure, Computer hardware and Mathematical optimization in the investigation of issues within Statistical timing.
Between 2012 and 2019, his most popular works were:
- Fast path traversal in a relational database-based graph structure (12 citations)
- Systems and methods for correlated parameters in statistical static timing analysis (10 citations)
- Reducing runtime and memory requirements of static timing analysis (9 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Statistics
- Integrated circuit
Vladimir Zolotov spends much of his time researching Algorithm, Integrated circuit, Integrated circuit design, Mathematical optimization and Statistical static timing analysis.
His studies in Algorithm integrate themes in fields like Selection algorithm and Random variable.
His Integrated circuit research is multidisciplinary, incorporating elements of Closing, Bin, Statistical timing and Voltage.
His research ties Static timing analysis and Integrated circuit design together.
His Mathematical optimization research incorporates themes from Metric, Time complexity, Order statistic, Independent and identically distributed random variables and Binary tree.
Statistics and Electronic engineering are the two main areas of interest in his Statistical static timing analysis studies.
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