World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11675
World Ranking
4565
National Ranking
2135

Oscar H. Ibarra 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 Oscar H. Ibarra 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: 400 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Oscar H. Ibarra 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 Oscar H. Ibarra 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - Member of Academia Europaea
  • 1995 - ACM Fellow For contributions to the design and analysis of algorithms, the theory of computation, computational complexity, and parallel computing.
  • 1993 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1984 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Óscar H. Ibarra is affiliated with the University of California, Santa Barbara in the United States. Their research spans multiple areas within computer science and biochemistry, genetics, and molecular biology, focusing particularly on computational theory, formal languages, and automata theory.

The main fields of study for Óscar H. Ibarra include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these areas, the scientist's work is concentrated in several subfields:

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Molecular Biology
  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

The core topics of research covered by Óscar H. Ibarra comprise:

  • semigroups and automata theory
  • DNA and Biological Computing
  • Logic, programming, and type systems
  • Algorithms and Data Compression
  • Machine Learning and Algorithms
  • Computability, Logic, AI Algorithms
  • Cellular Automata and Applications

Óscar H. Ibarra has published extensively, frequently appearing in the following venues:

  • International Journal of Foundations of Computer Science
  • Information and Computation
  • Theoretical Computer Science
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Recent papers authored by Óscar H. Ibarra include:

  • Semilinearity of Families of Languages, 2020, International Journal of Foundations of Computer Science
  • Generalizations of Checking Stack Automata: Characterizations and Hierarchies, 2021, International Journal of Foundations of Computer Science
  • Space Complexity of Stack Automata Models, 2021, International Journal of Foundations of Computer Science
  • On the complexity of decision problems for some classes of machines and applications, 2023, Information and Computation

Other papers connected to their network of research include:

  • Relationships between bounded languages, counter machines, finite-index grammars, ambiguity, and commutative regularity, 2020, Theoretical Computer Science

The researcher has frequently collaborated with the following co-authors:

  • Ian McQuillan
  • Flavio D'Alessandro
  • Pascal Baumann
  • Moses Ganardi
  • Lia Schütze

Óscar H. Ibarra has received several awards during their career, including:

  • Member of Academia Europaea (2008)
  • ACM Fellow (1995) for contributions to the design and analysis of algorithms, the theory of computation, computational complexity, and parallel computing
  • Fellow of the American Association for the Advancement of Science (AAAS) (1993)
  • Fellow of John Simon Guggenheim Memorial Foundation (1984)

Best Publications

  • Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems

    Oscar H. Ibarra;Chul E. Kim

  • Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors

    Oscar H. Ibarra;Chul E. Kim

  • Reversal-Bounded Multicounter Machines and Their Decision Problems

    Oscar H. Ibarra

  • Polynomially Complete Fault Detection Problems

    O.H. Ibarra;S.K. Sahni

  • Bounds for LPT Schedules on Uniform Processors

    Teofilo F. Gonzalez;Oscar H. Ibarra;Sartaj Sahni

  • SWEB: towards a scalable World Wide Web server on multicomputers

    D. Andresen;Tao Yang;V. Holmedahl;O.H. Ibarra

  • Asynchronous spiking neural P systems

    Matteo Cavaliere;Oscar H. Ibarra;Gheorghe Pun;Omer Egecioglu

  • A generalization of the fast LUP matrix decomposition algorithm and applications

    Oscar H Ibarra;Shlomo Moran;Roger Hui

  • The complexity of decision problems for finite-turn multicounter machines

    Eitan M. Gurari;Oscar H. Ibarra

  • Automated composition of e-services: lookaheads

    Çagdaş Evren Gerede;Richard Hull;Oscar H. Ibarra;Jianwen Su

  • Simple matrix languages

    Oscar H. Ibarra

  • Normal forms for spiking neural P systems

    Oscar H. Ibarra;Andrei Pun;Gheorghe Pun;Alfonso Rodríguez-Patón

  • On two-way multihead automata

    Oscar H. Ibarra

  • Probabilistic Algorithms for Deciding Equivalence of Straight-Line Programs

    Oscar H. Ibarra;Shlomo Moran

  • A note on finite-valued and finitely ambiguous transducers

    Eitan M. Gurari;Oscar H. Ibarra

  • Characterizations and computational complexity of systolic trellis automata

    Oscar H. Ibarra;Sam M. Kim

  • Symbolic String Verification: An Automata-Based Approach

    Fang Yu;Tevfik Bultan;Marco Cova;Oscar H. Ibarra

  • Relating the type of ambiguity of finite automata to the succinctness of their representation

    B. Ravikumar;O. H. Ibarra

  • Sequential SNP systems based on min/max spike number

    Oscar H. Ibarra;Andrei Pun;Alfonso Rodríguez-Patón

  • Characterizations of some tape and time complexity classes of turing machines in terms of multihead and auxiliary stack automata

    Oscar H. Ibarra

  • Multi-tape and multi-head pushdown automata

    Michael A. Harrison;Oscar H. Ibarra

Frequent Co-Authors

Jianwen Su
Jianwen Su University of California, Santa Barbara
Tao Jiang
Tao Jiang University of California, Riverside
Tevfik Bultan
Tevfik Bultan University of California, Santa Barbara
Shlomo Moran
Shlomo Moran Technion – Israel Institute of Technology
Richard A. Kemmerer
Richard A. Kemmerer University of California, Santa Barbara
Lila Kari
Lila Kari University of Waterloo
Koji Nakano
Koji Nakano Hiroshima University
Sartaj Sahni
Sartaj Sahni University of Florida
Juhani Karhumäki
Juhani Karhumäki University of Turku
Arto Salomaa
Arto Salomaa Turku Centre for Computer Science

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