World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13790
World Ranking
4039
National Ranking
63

Dana Ron 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 Dana Ron 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Dana Ron 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 Dana Ron 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: 56 D-Index — 72nd percentile

72% 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

  • 2019 - European Association for Theoretical Computer Science (EATCS) Fellow For her pioneering work in the fields of sub-linear time algorithms and in combinatorial property testing

Overview

Dana Ron is affiliated with Tel Aviv University in Israel. Their research primarily focuses on the field of Computer Science, with a strong emphasis on Computational Theory and Mathematics. They have produced work that intersects with Artificial Intelligence, Statistics and Probability, Computer Networks and Communications, and Computer Graphics and Computer-Aided Design.

The scientist's research topics cover areas such as Complexity and Algorithms in Graphs, Machine Learning and Algorithms, Advanced Graph Theory Research, Optimization and Search Problems, Markov Chains and Monte Carlo Methods, Computational Geometry and Mesh Generation, and Statistical Methods and Inference.

Among their recent publications are several papers published between 2020 and 2023. These include:

  • On Approximating the Number of k-Cliques in Sublinear Time, 2020, SIAM Journal on Computing
  • Almost Optimal Bounds for Sublinear-Time Sampling of k-Cliques in Bounded Arboricity Graphs, 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Sampling Arbitrary Subgraphs Exactly Uniformly in Sublinear Time, 2020, arXiv (Cornell University)
  • A Lower Bound on the Complexity of Testing Grained Distributions, 2023, Computational Complexity
  • Asymptotically Optimal Bounds for Estimating H-Index in Sublinear Time with Applications to Subgraph Counting, 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Frequently, Dana Ron collaborates with other researchers including Talya Eden, Oded Goldreich, Reut Levi, C. Seshadhri, and Asaf Rosin.

Their work has appeared in a variety of publication venues, notably Leibniz-Zentrum für Informatik (Schloss Dagstuhl), arXiv (Cornell University), ACM Transactions on Computation Theory, Society for Industrial and Applied Mathematics eBooks, and SIAM Journal on Computing.

Dana Ron received recognition from the European Association for Theoretical Computer Science (EATCS) as a Fellow in 2019 for contributions to the areas of sub-linear time algorithms and combinatorial property testing.

Best Publications

  • Property testing and its connection to learning and approximation

    Oded Goldreich;Shari Goldwasser;Dana Ron

  • Algorithmic stability and sanity-check bounds for leave-one-out cross-validation

    Michael Kearns;Dana Ron

  • The power of amnesia: learning probabilistic automata with variable memory length

    Dana Ron;Yoram Singer;Naftali Tishby

  • The Power of Amnesia

    Dana Ron;Yoram Singer;Naftali Tishby

  • On testing expansion in bounded-degree graphs

    Oded Goldreich;Dana Ron

  • Property testing in bounded degree graphs

    Oded Goldreich;Dana Ron

  • Chinese remaindering with errors

    O. Goldreich;D. Ron;M. Sudan

  • Property Testing in Bounded Degree Graphs

    Unknown

  • On the learnability of discrete distributions

    Michael Kearns;Yishay Mansour;Dana Ron;Ronitt Rubinfeld

  • Testing monotonicity

    O. Goldreich;S. Goldwassert;E. Lehman;D. Ron

  • On randomized one-round communication complexity

    Ilan Kremer;Noam Nisan;Dana Ron

  • Conflict-Free Colorings of Simple Geometric Regions with Applications to Frequency Assignment in Cellular Networks

    Guy Even;Zvi Lotker;Dana Ron;Shakhar Smorodinsky

  • Property Testing

    Dana Ron

  • Tolerant property testing and distance approximation

    Michal Parnas;Dana Ron;Ronitt Rubinfeld

  • An experimental and theoretical comparison of model selection methods

    Michael Kearns;Yishay Mansour;Andrew Y. Ng;Dana Ron

  • The power of a pebble: exploring and mapping directed graphs

    Michael A. Bender;Antonio Fernández;Dana Ron;Amit Sahai

  • A Sublinear Bipartiteness Tester for Bounded Degree Graphs

    Oded Goldreich;Dana Ron

  • Improved Testing Algorithms for Monotonicity.

    Yevgeniy Dodis;Oded Goldreich;Eric Lehman;Sofya Raskhodnikova

  • Property testing: a learning theory perspective

    Dana Ron

  • Algorithmic and Analysis Techniques in Property Testing

    Dana Ron

  • Approximating the minimum vertex cover in sublinear time and a connection to distributed algorithms

    Michal Parnas;Dana Ron

Frequent Co-Authors

Oded Goldreich
Oded Goldreich Weizmann Institute of Science
C. Seshadhri
C. Seshadhri University of California, Santa Cruz
Michael Krivelevich
Michael Krivelevich Tel Aviv University
Michael Kearns
Michael Kearns University of Pennsylvania
Noga Alon
Noga Alon Tel Aviv University
Rocco A. Servedio
Rocco A. Servedio Columbia University
Guy Even
Guy Even Tel Aviv University
Adam Smith
Adam Smith Boston University
Madhu Sudan
Madhu Sudan Harvard University

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