World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
17884
World Ranking
1019
National Ranking
432

Computer Science

D-Index
74
Citations
20344
World Ranking
1506
National Ranking
785

Igor L. Markov publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Igor L. Markov sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 281 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Igor L. Markov D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Igor L. Markov sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to optimization methods in electronic design automation
  • 2011 - ACM Distinguished Member
  • 2007 - ACM Senior Member

Overview

Igor L. Markov is affiliated with Synopsys in the United States. Their research primarily spans the field of Computer Science, with a notable focus on Artificial Intelligence, Electrical and Electronic Engineering, and Information Systems. Additional subfields include Hardware and Architecture as well as Computer Vision and Pattern Recognition.

The scientist's work covers several main research topics including:

  • Quantum Computing Algorithms and Architecture
  • Parallel Computing and Optimization Techniques
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Data Classification
  • Cryptography and Data Security
  • Software Engineering Research
  • Quantum Information and Cryptography

Igor L. Markov has published extensively, with contributions to venues such as:

  • arXiv (Cornell University)
  • Известия высших учебных заведений Электромеханика
  • ACM Transactions on Quantum Computing
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Machine Learning

Notable recent papers include:

  • "Approximating Decision Diagrams for Quantum Circuit Simulation," 2022, ACM Transactions on Quantum Computing
  • "Looper: An End-to-End ML Platform for Product Decisions," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond," 2020, arXiv (Cornell University)
  • "Enhancing quantum computer performance via symmetrization," 2023, arXiv (Cornell University)
  • "The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement," 2023, arXiv (Cornell University)

Frequent collaborators in Igor L. Markov's research include Norm Zhou, Hanson Wang, Graham Cormode, Nitya Kasturi, and Mia R. Garrard. These coauthors have contributed to multiple publications alongside Igor L. Markov.

The scientist has received several professional recognitions including:

  • IEEE Fellow, awarded in 2013, for contributions to optimization methods in electronic design automation
  • ACM Distinguished Member, awarded in 2011
  • ACM Senior Member, awarded in 2007

Best Publications

  • Ending Piracy of Integrated Circuits

    J A Roy;F Koushanfar;I L Markov

  • Synthesis of quantum-logic circuits

    V.V. Shende;S.S. Bullock;I.L. Markov

  • EPIC: ending piracy of integrated circuits

    Jarrod A. Roy;Farinaz Koushanfar;Igor L. Markov

  • Synthesis of reversible logic circuits

    V.V. Shende;A.K. Prasad;I.L. Markov;J.P. Hayes

  • Limits on fundamental limits to computation

    Igor L. Markov

  • Can recursive bisection alone produce routable placements

    Andrew E. Caldwell;Andrew B. Kahng;Igor L. Markov

  • Simulating Quantum Computation by Contracting Tensor Networks

    Igor L. Markov;Yaoyun Shi

  • Fixed-outline floorplanning: enabling hierarchical design

    S.N. Adya;I.L. Markov

  • VLSI Physical Design: From Graph Partitioning to Timing Closure

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

  • Minimal universal two-qubit controlled- NOT -based circuits

    Vivek V. Shende;Igor L. Markov;Stephen S. Bullock

  • Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices

    Smita Krishnaswamy;George F. Viamontes;Igor L. Markov;John P. Hayes

  • Synthesis and optimization of reversible circuits—a survey

    Mehdi Saeedi;Igor L. Markov

  • High-Performance Routing at the Nanometer Scale

    J.A. Roy;I.L. Markov

  • Watermarking techniques for intellectual property protection

    A. B. Kahng;J. Lach;W. H. Mangione-Smith;S. Mantik

  • SimPL: An Effective Placement Algorithm

    Myung-Chul Kim;Dong-Jin Lee;I. L. Markov

  • Fault testing for reversible circuits

    K.N. Patel;J.P. Hayes;I.L. Markov

  • Progress and challenges in VLSI placement research

    Igor L. Markov;Jin Hu;Myung-Chul Kim

  • Efficient symmetry breaking for Boolean satisfiability

    F.A. Aloul;K.A. Sakallah;I.L. Markov

  • Constraint-based watermarking techniques for design IP protection

    A.B. Kahng;J. Lach;W.H. Mangione-Smith;S. Mantik

  • Generic ILP versus specialized 0-1 ILP: an update

    Fadi A. Aloul;Arathi Ramani;Igor L. Markov;Karem A. Sakallah

Frequent Co-Authors

John P. Hayes
John P. Hayes University of Michigan–Ann Arbor
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Karem A. Sakallah
Karem A. Sakallah University of Michigan–Ann Arbor
Valeria Bertacco
Valeria Bertacco University of Michigan–Ann Arbor
Charles J. Alpert
Charles J. Alpert Cadence Design Systems
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Luciano Lavagno
Luciano Lavagno Polytechnic University of Turin
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles

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