World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
12155
World Ranking
3865
National Ranking
1829

Fabio Somenzi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Fabio Somenzi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Fabio Somenzi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Fabio Somenzi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Fabio Somenzi is affiliated with the University of Colorado Boulder in the United States. Their research primarily spans the field of Computer Science, with notable contributions across 53 publications. Within this broad discipline, they focus heavily on subfields including Artificial Intelligence, Computational Theory and Mathematics, Software, Molecular Biology, and Information Systems.

The scientist has contributed to various topics, most prominently Reinforcement Learning in Robotics and Formal Methods in Verification. Other areas of work include Evolutionary Algorithms and Applications, Software Testing and Debugging Techniques, Software Reliability and Analysis Research, Model-Driven Software Engineering Techniques, and Machine Learning and Algorithms.

Recent publications by Fabio Somenzi demonstrate ongoing work related to reinforcement learning and formal methods. Selected papers include:

  • Model-Free Reinforcement Learning for Stochastic Parity Games, 2020, published at Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Assume-Guarantee Reinforcement Learning, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-objective ω-Regular Reinforcement Learning, 2023, Formal Aspects of Computing
  • A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems, 2023, IEEE Open Journal of Control Systems

The scientist frequently publishes in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Formal Aspects of Computing, and IEEE Open Journal of Control Systems.

Fabio Somenzi collaborates with several researchers who appear regularly as co-authors. Notable frequent collaborators include Ashutosh Trivedi, Mateo Perez, Ernst Moritz Hahn, Sven Schewe, and Dominik Wojtczak, with collaboration counts ranging from 22 to 34 joint works.

Best Publications

  • Algebric Decision Diagrams and Their Applications

    R. I. Bahar;E. A. Frohm;C. M. Gaona;G. D. Hachtel

  • VIS: A System for Verification and Synthesis

    Robert K. Brayton;Gary D. Hachtel;Alberto L. Sangiovanni-Vincentelli;Fabio Somenzi

  • Algebraic decision diagrams and their applications

    R. Iris Bahar;Erica A. Frohm;Charles M. Gaona;Gary D. Hachtel

  • Logic Synthesis and Verification Algorithms

    Gary D. Hachtel;Fabio Somenzi

  • High-level power modeling, estimation, and optimization

    E. Macii;M. Pedram;F. Somenzi

  • Efficient Büchi Automata from LTL Formulae

    Fabio Somenzi;Roderick Bloem

  • Who are the variables in your neighbourhood

    Shipra Panda;Fabio Somenzi

  • Symmetry detection and dynamic variable ordering of decision diagrams

    Shipra Panda;Fabio Somenzi;Bernard F. Plessier

  • High-density reachability analysis

    Kavita Ravi;Fabio Somenzi

  • Markovian analysis of large finite state machines

    G.D. Hachtel;E. Macii;A. Pardo;F. Somenzi

  • An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps

    Roderick Bloem;Harold N. Gabow;Fabio Somenzi

  • Redundancy identification/removal and test generation for sequential circuits using implicit state enumeration

    H. Cho;G.D. Hachtel;F. Somenzi

  • Minimal Assignments for Bounded Model Checking

    Kavita Ravi;Fabio Somenzi

  • ATPG aspects of FSM verification

    H. Cho;G. Hachtel;S.-W. Jeong;B. Plessier

  • An exact minimizer for Boolean relations

    R.K. Brayton;F. Somenzi

  • Algorithms for Approximate FSM Traversal

    Hyunwoo Cho;Gary D. Hachtel;Enrico Macii;Bernard Plessier

  • Exact and heuristic algorithms for the minimization of incompletely specified state machines

    June-Kyung Rho;G.D. Hachtel;F. Somenzi;R.M. Jacoby

  • Re-encoding sequential circuits to reduce power dissipation

    Gary D. Hachtel;Mariano Hermida;Abelardo Pardo;Massimo Poncino

  • Omega-Regular Objectives in Model-Free Reinforcement Learning

    Ernst Moritz Hahn;Mateo Perez;Sven Schewe;Fabio Somenzi

  • A Performance Study of BDD-Based Model Checking

    Bwolen Yang;Randal E. Bryant;David R. O'Hallaron;Armin Biere

  • Approximation and decomposition of binary decision diagrams

    Kavita Ravi;Kenneth L. McMillan;Thomas R. Shiple;Fabio Somenzi

Frequent Co-Authors

Gary D. Hachtel
Gary D. Hachtel University of Colorado Boulder
Enrico Macii
Enrico Macii Polytechnic University of Turin
Roderick Bloem
Roderick Bloem Graz University of Technology
Abelardo Pardo
Abelardo Pardo University of Adelaide
Massimo Poncino
Massimo Poncino Polytechnic University of Turin
Chao Wang
Chao Wang University of Southern California
Robert K. Brayton
Robert K. Brayton University of California, Berkeley
R. Iris Bahar
R. Iris Bahar Brown University
Christoph Meinel
Christoph Meinel Hasso Plattner Institute
Sriram Sankaranarayanan
Sriram Sankaranarayanan University of Colorado Boulder

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