World's Best Scientists 2026 revealed!
Daniel P. Huttenlocher

Daniel P. Huttenlocher

D-Index & Metrics

Computer Science

D-Index
74
Citations
50203
World Ranking
1442
National Ranking
751

Daniel P. Huttenlocher 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 Daniel P. Huttenlocher 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Daniel P. Huttenlocher 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 Daniel P. Huttenlocher 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: 74 D-Index — 90th percentile

90% 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

  • 2007 - ACM Fellow For contributions to computer vision.

Overview

Daniel P. Huttenlocher is affiliated with MIT in the United States and has contributed to research primarily in the fields of Medicine and Business, Management and Accounting. Their work spans several interdisciplinary subfields, including Infectious Diseases, Marketing, Management Science and Operations Research, Modeling and Simulation, and Strategy and Management.

The main research topics covered by their publications include Consumer Market Behavior and Pricing, COVID-19 epidemiological studies, SARS-CoV-2 detection and testing, Digital Platforms and Economics, Digital Marketing and Social Media, and Game Theory and Applications.

The scientist's publication record includes recent papers such as:

  • Matching of Users and Creators in Two-Sided Markets with Departures, 2023, arXiv (Cornell University)
  • Optimal adaptive testing for epidemic control: Combining molecular and serology tests, 2023, Automatica
  • Online Business Models, Digital Ads, and User Welfare, 2024, SSRN Electronic Journal
  • Wikipedia Contributions in the Wake of ChatGPT, 2025, arXiv (Cornell University)

Frequent publication venues where their work appears include:

  • arXiv (Cornell University)
  • Automatica
  • SSRN Electronic Journal

Collaborations have been conducted with several co-authors, with the most frequent partnerships being with:

  • Asuman Ozdaglar
  • Daron Acemoğlu
  • James Siderius
  • Hannah Li
  • Alireza Fallah

Daniel P. Huttenlocher has received recognition for their contributions, including the ACM Fellow award in 2007, specifically cited for contributions to computer vision.

Best Publications

  • Efficient Graph-Based Image Segmentation

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Comparing images using the Hausdorff distance

    D.P. Huttenlocher;G.A. Klanderman;W.J. Rucklidge

  • Efficient Belief Propagation for Early Vision

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Pictorial Structures for Object Recognition

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Group formation in large social networks: membership, growth, and evolution

    Lars Backstrom;Dan Huttenlocher;Jon Kleinberg;Xiangyang Lan

  • Autonomous driving in urban environments: Boss and the Urban Challenge

    Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker

  • Predicting positive and negative links in online social networks

    Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

  • Signed networks in social media

    Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

  • Distance Transforms of Sampled Functions

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Mapping the world's photos

    David J. Crandall;Lars Backstrom;Daniel Huttenlocher;Jon Kleinberg

  • An efficiently computable metric for comparing polygonal shapes

    E.M. Arkin;L.P. Chew;D.P. Huttenlocher;K. Kedem

  • Recognizing solid objects by alignment with an image

    Daniel P. Huttenlocher;Shimon Ullman

  • Feedback effects between similarity and social influence in online communities

    David Crandall;Dan Cosley;Daniel Huttenlocher;Jon Kleinberg

  • Engaging with massive online courses

    Ashton Anderson;Daniel Huttenlocher;Jon Kleinberg;Jure Leskovec

  • Inferring social ties from geographic coincidences

    David J. Crandall;Lars Backstrom;Dan Cosley;Siddharth Suri

  • Location recognition using prioritized feature matching

    Yunpeng Li;Noah Snavely;Daniel P. Huttenlocher

  • Automatic target recognition by matching oriented edge pixels

    C.F. Olson;D.P. Huttenlocher

  • Efficient matching of pictorial structures

    P.F. Felzenszwalb;D.P. Huttenlocher

  • Steering user behavior with badges

    Ashton Anderson;Daniel Huttenlocher;Jon Kleinberg;Jure Leskovec

  • Worldwide pose estimation using 3d point clouds

    Yunpeng Li;Noah Snavely;Dan Huttenlocher;Pascal Fua

Frequent Co-Authors

Jon Kleinberg
Jon Kleinberg Cornell University
Ronald M. Kaplan
Ronald M. Kaplan Stanford University
David J. Crandall
David J. Crandall Indiana University
Jure Leskovec
Jure Leskovec Stanford University
John Seely Brown
John Seely Brown Palo Alto Research Center
Mark Campbell
Mark Campbell Cornell University
Noah Snavely
Noah Snavely Cornell University
Yuri Boykov
Yuri Boykov University of Waterloo

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