World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4583
World Ranking
10916
National Ranking
4538

Adam R. Klivans 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 Adam R. Klivans 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Adam R. Klivans 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 Adam R. Klivans 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Adam R. Klivans is affiliated with The University of Texas at Austin in the United States. Their research spans primarily the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

Their work covers diverse topics, with notable contributions to Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Bioinformatics and Genomic Networks, and RNA and protein synthesis mechanisms.

Adam R. Klivans has a significant publication record with thirty papers in arXiv (Cornell University), four in bioRxiv (Cold Spring Harbor Laboratory), along with publications in Nature Communications, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Recent papers include the following:

  • Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations, 2024, Nature Communications
  • Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection, 2020, arXiv (Cornell University)
  • Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent, 2020, arXiv (Cornell University)
  • Predicting a Protein's Stability under a Million Mutations, 2023, arXiv (Cornell University)
  • Statistical-Query Lower Bounds via Functional Gradients, 2020, arXiv (Cornell University)

Frequent coauthors of Adam R. Klivans include:

  • Aravind Gollakota
  • Konstantinos Stavropoulos
  • Arsen Vasilyan
  • Daniel J. Diaz
  • Surbhi Goel

Best Publications

  • Graph Nonisomorphism Has Subexponential Size Proofs Unless the Polynomial-Time Hierarchy Collapses

    Adam R. Klivans;Dieter van Melkebeek

  • Agnostically Learning Halfspaces

    Adam Tauman Kalai;Adam R. Klivans;Yishay Mansour;Rocco A. Servedio

  • Cryptographic hardness for learning intersections of halfspaces

    Adam R. Klivans;Alexander A. Sherstov

  • Learning intersections and thresholds of halfspaces

    A. R. Klivans;R. O'Donnell;Rocco A. Servedio

  • Learning DNF in time 2 õ ( n 1/3 )

    Adam R. Klivans;Rocco A. Servedio

  • Randomness efficient identity testing of multivariate polynomials

    Adam R. Klivans;Daniel Spielman

  • Agnostically learning halfspaces

    A.T. Kalai;A.R. Klivans;Yishay Mansour;R.A. Servedio

  • Learning DNF in time

    Adam R. Klivans;Rocco Servedio

  • Learning Halfspaces with Malicious Noise

    Adam R. Klivans;Philip M. Long;Rocco A. Servedio

  • Learning Geometric Concepts via Gaussian Surface Area

    A.R. Klivans;R. O'Donnell;R.A. Servedio

  • Efficient Algorithms for Outlier-Robust Regression

    Adam R. Klivans;Pravesh K. Kothari;Raghu Meka

  • Reliably Learning the ReLU in Polynomial Time

    Surbhi Goel;Varun Kanade;Adam R. Klivans;Justin Thaler

  • Learning Graphical Models Using Multiplicative Weights

    Adam Klivans;Raghu Meka

  • List-decoding reed-muller codes over small fields

    Parikshit Gopalan;Adam R. Klivans;David Zuckerman

  • Learnability beyond AC0

    Jeffrey C. Jackson;Adam R. Klivans;Rocco A. Servedio

  • An FPTAS for #Knapsack and Related Counting Problems

    Parikshit Gopalan;Adam Klivans;Raghu Meka;Daniel tefankovic

  • Boosting and Hard-Core Set Construction

    Adam R. Klivans;Rocco A. Servedio

  • Agnostically learning decision trees

    Parikshit Gopalan;Adam Tauman Kalai;Adam R. Klivans

  • Learnability and automatizability

    M. Alekhnovich;M. Braverman;V. Feldman;A.R. Klivans

  • Toward Attribute Efficient Learning of Decision Lists and Parities

    Adam R. Klivans;Rocco A. Servedio

  • Learning One Convolutional Layer with Overlapping Patches

    Surbhi Goel;Adam R. Klivans;Raghu Meka

Frequent Co-Authors

Rocco A. Servedio
Rocco A. Servedio Columbia University
Lance Fortnow
Lance Fortnow Illinois Institute of Technology
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
Adam Tauman Kalai
Adam Tauman Kalai Microsoft (United States)
Ilias Diakonikolas
Ilias Diakonikolas University of Wisconsin–Madison
Daniel M. Kane
Daniel M. Kane University of California, San Diego
Philip M. Long
Philip M. Long Google (United States)
Toniann Pitassi
Toniann Pitassi Columbia University
Qiang Liu
Qiang Liu Chinese Academy of Sciences
Daniel A. Spielman
Daniel A. Spielman Yale University

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Related Online Degrees & Career Pathways

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