H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 62 Citations 14,669 194 World Ranking 1325 National Ranking 759
Electronics and Electrical Engineering D-index 49 Citations 10,798 123 World Ranking 1212 National Ranking 556

Research.com Recognitions

Awards & Achievements

2013 - IEEE Fellow For contributions to optimization methods in electronic design automation

2011 - ACM Distinguished Member

2007 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Algorithm
  • Artificial intelligence

Igor L. Markov focuses on Algorithm, Quantum computer, Parallel computing, Physical design and Theoretical computer science. His study in Algorithm is interdisciplinary in nature, drawing from both Routing and Electronic design automation. The various areas that he examines in his Quantum computer study include Discrete mathematics, Quantum algorithm, Emerging technologies and Computation.

His Parallel computing research is multidisciplinary, relying on both Scalability, Algorithm design, Floorplan, Very-large-scale integration and Function. His Physical design study combines topics from a wide range of disciplines, such as Integrated circuit design and Design flow. His work focuses on many connections between Theoretical computer science and other disciplines, such as Boolean function, that overlap with his field of interest in Integer programming.

His most cited work include:

  • Synthesis of reversible logic circuits (451 citations)
  • EPIC: ending piracy of integrated circuits (425 citations)
  • Fixed-outline floorplanning: enabling hierarchical design (357 citations)

What are the main themes of his work throughout his whole career to date?

Algorithm, Theoretical computer science, Quantum computer, Very-large-scale integration and Computer engineering are his primary areas of study. His work on Logic gate and Logic synthesis is typically connected to Graph automorphism as part of general Algorithm study, connecting several disciplines of science. In his research on the topic of Theoretical computer science, Hypergraph is strongly related with Heuristics.

His studies deal with areas such as Quantum information, Quantum algorithm and Qubit as well as Quantum computer. His studies in Very-large-scale integration integrate themes in fields like Integrated circuit design, Placement, Electronic design automation, Netlist and Integrated circuit layout. His research in Integrated circuit layout focuses on subjects like Floorplan, which are connected to Parallel computing.

He most often published in these fields:

  • Algorithm (20.00%)
  • Theoretical computer science (15.14%)
  • Quantum computer (15.68%)

What were the highlights of his more recent work (between 2011-2021)?

  • Quantum computer (15.68%)
  • Algorithm (20.00%)
  • Quantum (8.38%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Quantum computer, Algorithm, Quantum, Integrated circuit and Electronic circuit. Igor L. Markov has researched Quantum computer in several fields, including Quantum state, Quantum algorithm, Computation and Qubit. His Algorithm research focuses on Probabilistic logic and how it connects with Logic optimization.

His biological study spans a wide range of topics, including State, Embedded system, Electronic design automation, Logic gate and Scaling. His Electronic circuit research integrates issues from Modular arithmetic and Parallel computing. Igor L. Markov has included themes like Computational complexity theory and Physical design in his Parallel computing study.

Between 2011 and 2021, his most popular works were:

  • Limits on fundamental limits to computation (223 citations)
  • Limits on fundamental limits to computation (223 citations)
  • Synthesis and optimization of reversible circuits—a survey (196 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Algorithm
  • Artificial intelligence

His scientific interests lie mostly in Physical design, Integrated circuit, Logic gate, Parallel computing and Quantum computer. The Physical design study combines topics in areas such as Algorithm design, Mathematical optimization and Design flow. He works mostly in the field of Algorithm design, limiting it down to concerns involving Multi-core processor and, occasionally, Algorithm.

His Integrated circuit research includes elements of Overhead and Microelectromechanical systems. His Logic gate study incorporates themes from Quantum algorithm, Efficient energy use and Embedded system. Igor L. Markov works mostly in the field of Quantum computer, limiting it down to topics relating to Computation and, in certain cases, Qubit, Emerging technologies and Industrial engineering, as a part of the same area of interest.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Ending Piracy of Integrated Circuits

J A Roy;F Koushanfar;I L Markov.
IEEE Computer (2010)

756 Citations

EPIC: ending piracy of integrated circuits

Jarrod A. Roy;Farinaz Koushanfar;Igor L. Markov.
design, automation, and test in europe (2008)

648 Citations

Synthesis of reversible logic circuits

V.V. Shende;A.K. Prasad;I.L. Markov;J.P. Hayes.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2003)

584 Citations

Can recursive bisection alone produce routable placements

Andrew E. Caldwell;Andrew B. Kahng;Igor L. Markov.
design automation conference (2000)

535 Citations

Fixed-outline floorplanning: enabling hierarchical design

S.N. Adya;I.L. Markov.
IEEE Transactions on Very Large Scale Integration Systems (2003)

467 Citations

Synthesis of quantum-logic circuits

V.V. Shende;S.S. Bullock;I.L. Markov.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2006)

453 Citations

Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices

Smita Krishnaswamy;George F. Viamontes;Igor L. Markov;John P. Hayes.
design, automation, and test in europe (2005)

345 Citations

Limits on fundamental limits to computation

Igor L. Markov;Igor L. Markov.
Nature (2014)

343 Citations

VLSI Physical Design: From Graph Partitioning to Timing Closure

Andrew B. Kahng;Jens Lienig;Igor L. Markov;Jin Hu.
(2011)

316 Citations

Watermarking techniques for intellectual property protection

A. B. Kahng;J. Lach;W. H. Mangione-Smith;S. Mantik.
design automation conference (1998)

259 Citations

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