World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6141
World Ranking
8021
National Ranking
2213

Overview

Vladimir Zolotov is affiliated with IBM in the United States and has contributed to research primarily in the fields of Mathematics and Computer Science. Their research spans multiple subfields including Geometry and Topology, Applied Mathematics, Statistics and Probability, Information Systems, and Software.

Their work covers a range of topics such as Geometric Analysis and Curvature Flows, Advanced Differential Equations and Dynamical Systems, Markov Chains and Monte Carlo Methods, Software Engineering Research, Software Reliability and Analysis Research, Advanced Malware Detection Techniques, and Fixed Point Theorems Analysis.

Recent publications by Vladimir Zolotov include:

  • "CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks" (2021), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Upper bounds for the number of isolated critical points via the Thom-Milnor theorem" (2023), published in Analysis and Mathematical Physics
  • "Scalar product and distance in barycentric coordinates" (2022), published on arXiv (Cornell University)
  • "Upper bounds for the number of isolated critical points via Thom-Milnor theorem" (2023), published on arXiv (Cornell University)

Frequent co-authors collaborating with Vladimir Zolotov include Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, and Giacomo Domeniconi.

In terms of publication venues, Vladimir Zolotov has contributed several works to arXiv (Cornell University), Analysis and Mathematical Physics, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Best Publications

  • Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations

    Aseem Agarwal;David Blaauw;Vladimir Zolotov

  • Robust Extraction of Spatial Correlation

    Jinjun Xiong;V. Zolotov;Lei He

  • Method, system, and program product for computing a yield gradient from statistical timing

    Chandramouli Visweswariah;JinJun Xiong;Vladimir Zolotov

  • Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions

    Hongliang Chang;Vladimir Zolotov;Sambasivan Narayan;Chandu Visweswariah

  • Statistical timing analysis using bounds and selective enumeration

    A. Agarwal;V. Zolotov;D.T. Blaauw

  • Statistical delay computation considering spatial correlations

    Aseem Agarwal;David Blaauw;Vladimir Zolotov;Savithri Sundareswaran

  • ClariNet: a noise analysis tool for deep submicron design

    Rafi Levy;David Blaauw;Gabi Braca;Aurobindo Dasgupta

  • Circuit optimization using statistical static timing analysis

    Aseem Agarwal;Kaviraj Chopra;David Blaauw;Vladimir Zolotov

  • Gate sizing using incremental parameterized statistical timing analysis

    M. R. Guthaus;N. Venkateswarant;C. Visweswariaht;V. Zolotov

  • Path-Based Statistical Timing Analysis Considering Inter- and Intra-Die Correlations

    Aseem Agarwal;David Blaauw;Vladimir Zolotov;Savithri Sundareswaran

  • Statistical Path Selection for At-Speed Test

    Vladimir Zolotov;Jinjun Xiong;Hanif Fatemi;Chandu Visweswariah

  • Computation and refinement of statistical bounds on circuit delay

    Aseem Agarwal;David Blaauw;Vladimir Zolotov;Sarma Vrudhula

  • Driver modeling and alignment for worst-case delay noise

    Supamas Sirichotiyakul;David Blaauw;Chanhee Oh;Rafi Levy

  • On-chip inductance modeling and analysis

    Kaushik Gala;Vladimir Zolotov;Rajendran Panda;Brian Young

  • Model and analysis for combined package and on-chip power grid simulation

    Rajendran Panda;David Blaauw;Rajat Chaudhry;Vladimir Zolotov

  • Statistical Clock Skew Analysis Considering Intra-Die Process Variations

    Aseem Agarwal;David Blaauw;Vladimir Zolotov

  • Inductance 101: analysis and design issues

    Kaushik Gala;David Blaauw;Junfeng Wang;Vladimir Zolotov

  • Statistical timing analysis using bounds and selective enumeration

    Aseem Agarwal;David Blaauw;Vladimir Zolotov;Sarma Vrudhula

  • Vectorless Analysis of Supply Noise Induced Delay Variation

    Sanjay Pant;David Blaauw;Vladimir Zolotov;Savithri Sundareswaran

  • Static electromigration analysis for on-chip signal interconnects

    D.T. Blaauw;Chanhee Oh;V. Zolotov;A. Dasgupta

Frequent Co-Authors

David Blaauw
David Blaauw University of Michigan–Ann Arbor
Jinjun Xiong
Jinjun Xiong University at Buffalo, State University of New York
Ibrahim N. Hajj
Ibrahim N. Hajj University of Illinois at Urbana-Champaign
Sarma Vrudhula
Sarma Vrudhula Arizona State University
Yiyu Shi
Yiyu Shi University of Notre Dame
Sachin S. Sapatnekar
Sachin S. Sapatnekar University of Minnesota
Jacob A. Abraham
Jacob A. Abraham The University of Texas at Austin
Lei He
Lei He University of California, Los Angeles
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Richard B. Brown
Richard B. Brown University of Utah

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