World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5123
World Ranking
8986
National Ranking
3815

Eric Allender 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 Eric Allender 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: 185 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Eric Allender 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 Eric Allender 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: 41 D-Index — 40th percentile

40% 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

  • 2006 - ACM Distinguished Member
  • 2006 - ACM Fellow For contributions to computational complexity theory.

Overview

Eric Allender is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily falls within the field of Computer Science, with a focus on Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Molecular Biology.

They have made contributions across multiple main topics including:

  • Complexity and Algorithms in Graphs
  • Computability, Logic, AI Algorithms
  • Advanced Graph Theory Research
  • Low-power high-performance VLSI design
  • Machine Learning and Algorithms
  • Cryptography and Data Security
  • Semigroups and Automata Theory

Their publication record includes papers in notable venues, with frequent publications in:

  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Rutgers University Community Repository (Rutgers University)
  • New Zealand journal of mathematics
  • Acta Informatica
  • ACM SIGACT News

Recent papers authored by Eric Allender are:

  • "Pseudorandomness and the Minimum Circuit Size Problem," 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Vaughan Jones, Kolmogorov Complexity, and the New Complexity Landscape around Circuit Minimization," 2021, New Zealand journal of mathematics
  • "One-Way Functions and a Conditional Variant of MKTP," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Depth-first search in directed planar graphs, revisited," 2022, Acta Informatica
  • "The Non-hardness of Approximating Circuit Size," 2020, Theory of Computing Systems

Eric Allender has collaborated frequently with several researchers, including:

  • Samir Datta
  • Archit Chauhan
  • Harsha Tirumala
  • John Gouwar
  • Shuichi Hirahara

The scientist has been recognized with awards within the computing community, such as:

  • ACM Distinguished Member, 2006
  • ACM Fellow, 2006, for contributions to computational complexity theory

Best Publications

  • Relationships among $PL$, $\#L$, and the determinant

    Eric Allender;Mitsunori Ogihara

  • Uniform constant-depth threshold circuits for division and iterated multiplication

    William Hesse;Eric Allender;David A. Mix Barrington

  • On the Complexity of Numerical Analysis

    Eric Allender;Peter Bürgisser;Johan Kjeldgaard-Pedersen;Peter Bro Miltersen

  • Complexity of finite-horizon Markov decision process problems

    Martin Mundhenk;Judy Goldsmith;Christopher Lusena;Eric Allender

  • P-printable sets

    Eric W. Allender;Roy S. Rubinstein

  • Making Nondeterminism Unambiguous

    Klaus Reinhardt;Eric Allender

  • A note on the power of threshold circuits

    E. Allender

  • Power from Random Strings

    Eric Allender;Harry Buhrman;Michal Koucký;Dieter van Melkebeek

  • The complexity of matrix rank and feasible systems of linear equations

    Eric Allender;Robert Beals;Mitsunori Ogihara

  • The complexity of sparse sets in P

    Eric Allender

  • Non-commutative arithmetic circuits: depth reduction and size lower bounds

    Eric Allender;Jia Jiao;Meena Mahajan;V. Vinay

  • Isolation, Matching, and Counting Uniform and Nonuniform Upper Bounds

    Eric Allender;Klaus Reinhardt;Shiyu Zhou

  • Measure on small complexity classes, with applications for BPP

    E. Allender;M. Strauss

  • Amplifying lower bounds by means of self-reducibility

    Eric Allender;Michal Koucký

  • The complexity of satisfiability problems: Refining Schaefer's theorem

    Eric Allender;Michael Bauland;Neil Immerman;Henning Schnoor

  • On TC0, AC0, and Arithmetic Circuits

    Manindra Agrawal;Eric Allender;Samir Datta

  • The complexity of planarity testing

    Eric Allender;Meena Mahajan

  • Lower bounds for the low hierarchy

    Eric Allender;Lane A. Hemachandra

  • On the complexity of numerical analysis

    E. Allender;J. Kjeldgaard-Pedersen;P. Burgisser;P. Miltersen

  • Circuit Complexity before the Dawn of the New Millennium

    Eric Allender

  • Power from random strings

    E. Allender;H. Buhrman;M. Koucky;D. van Melkebeek

  • The complexity of matrix rank and feasible systems of linear equations (extended abstract)

    Eric Allender;Robert Beals;Mitsunori Ogihara

  • Amplifying Lower Bounds by Means of Self-Reducibility

    E. Allender;M. Koucky

Frequent Co-Authors

Harry Buhrman
Harry Buhrman University of Amsterdam
Cristopher Moore
Cristopher Moore Santa Fe Institute
Toniann Pitassi
Toniann Pitassi Columbia University
Michael Saks
Michael Saks Rutgers, The State University of New Jersey
Neil Immerman
Neil Immerman University of Massachusetts Amherst
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Osamu Watanabe
Osamu Watanabe Tokyo Institute of Technology
Martin J. Strauss
Martin J. Strauss University of Michigan–Ann Arbor
Peter Bro Miltersen
Peter Bro Miltersen Aarhus University
Igor E. Shparlinski
Igor E. Shparlinski University of New South Wales

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