World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
20665
World Ranking
2553
National Ranking
1277

Ben Taskar 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 Ben Taskar 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Ben Taskar 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 Ben Taskar 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: 64 D-Index — 82nd percentile

82% 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

  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Ben Taskar was affiliated with the University of Washington in the United States. Their academic career involved research in domains that are not explicitly detailed in the provided data.

Taskar was recognized with the title of Fellow of the Alfred P. Sloan Foundation in 2010. This award is typically granted to early-career scientists showing potential in their respective fields, reflecting a measure of distinction during their professional activity.

There are no records available regarding Ben Taskar's recent scholarly papers, frequent co-authors, or typical publication venues. Similarly, there are no specified books published or detailed research subfields and main topics associated with them. This absence suggests that publicly recorded bibliometric and collaborative patterns are limited or were not provided.

Best Publications

  • Introduction to statistical relational learning

    Lise Getoor;Ben Taskar

  • Max-Margin Markov Networks

    Ben Taskar;Carlos Guestrin;Daphne Koller

  • Determinantal Point Processes for Machine Learning

    Alex Kulesza;Ben Taskar

  • Discriminative probabilistic models for relational data

    Ben Taskar;Pieter Abbeel;Daphne Koller

  • Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

    Lise Getoor;Ben Taskar

  • Learning structured prediction models: a large margin approach

    Ben Taskar;Vassil Chatalbashev;Daphne Koller;Carlos Guestrin

  • Link Prediction in Relational Data

    Ben Taskar;Ming-fai Wong;Pieter Abbeel;Daphne Koller

  • Joint covariate selection and joint subspace selection for multiple classification problems

    Guillaume Obozinski;Ben Taskar;Michael I. Jordan

  • Alignment by Agreement

    Percy Liang;Ben Taskar;Dan Klein

  • Posterior Regularization for Structured Latent Variable Models

    Kuzman Ganchev;João Graça;Jennifer Gillenwater;Ben Taskar

  • MODEC: Multimodal Decomposable Models for Human Pose Estimation

    Ben Sapp;Ben Taskar

  • Discriminative learning of Markov random fields for segmentation of 3D scan data

    D. Anguelov;B. Taskarf;V. Chatalbashev;D. Koller

  • Rich probabilistic models for gene expression.

    Eran Segal;Benjamin Taskar;Audrey P. Gasch;Nir Friedman

  • Probabilistic classification and clustering in relational data

    Ben Taskar;Eran Segal;Daphne Koller

  • Learning from Partial Labels

    Timothee Cour;Ben Sapp;Ben Taskar

  • An End-to-End Discriminative Approach to Machine Translation

    Percy Liang;Alexandre Bouchard-Côté;Dan Klein;Ben Taskar

  • Selectivity estimation using probabilistic models

    Lise Getoor;Benjamin Taskar;Daphne Koller

  • Cascaded models for articulated pose estimation

    Benjamin Sapp;Alexander Toshev;Ben Taskar

  • Method and apparatus for learning probabilistic relational models having attribute and link uncertainty and for performing selectivity estimation using probabilistic relational models

    Daphne Koller;Lise Getoor;Avi Pfeffer;Nir Friedman

  • Max-Margin Parsing

    Ben Taskar;Dan Klein;Michael Collins;Daphne Koller

  • An Introduction to Conditional Random Fields for Relational Learning

    Lise Getoor;Ben Taskar

Frequent Co-Authors

Lise Getoor
Lise Getoor University of California, Santa Cruz
Thomas Hofmann
Thomas Hofmann ETH Zurich
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Alexander J. Smola
Alexander J. Smola Amazon (United States)
S. V. N. Vishwanathan
S. V. N. Vishwanathan Purdue University West Lafayette
Daphne Koller
Daphne Koller insitro Inc.
Emily B. Fox
Emily B. Fox Stanford University
Fernando Pereira
Fernando Pereira Google (United States)
Daniel Klein
Daniel Klein University of California, Berkeley
Christos Davatzikos
Christos Davatzikos University of Pennsylvania

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